美国科学家
《美国科学家》
2026年7–8月
www.americanscientist.org
从1776年美国建国以来,科学和民主互相支撑了250年。

~~[1]~~ 2017年1月1日,美国国家航空航天局(NASA)宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
~~[2]~~ 2017年1月1日,美国国家航空航天局(NASA)宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[3] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[4] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[5] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[6] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[7] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[8] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[9] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[10] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[11] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[12] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[13] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[14] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[15] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
第114卷 • 第4期 • 2026年7–8月
194 編者的話
■ 214 科學
232 揭示大腦:以人為本的方法應對網路錯誤資訊
■ 204 評論:生物技術與美國創新精神
一項國家倡議如何推動創新
人工智能时代的选举
平衡最低投票错误与最大投票便利
■ 226 科学与工程价值观:革命与革命者
Anyway?
253 今日西格玛·克西
我们共同的奇迹,我们肩负的责任 • 学生研究展示优胜者 • 西格玛·克西成员出席2026年林道诺贝尔奖得主会议 • 东北地区研究大会 • GIAR风采:霍利 • 推出m概念
从疫苗研发到海洋学研究再到太空探索,科学在美国自《独立宣言》颁布250年以来蓬勃发展。然而,科学本质上是信息,商业利益与政治优先事项正在侵蚀其独立性。为抵制此类影响,民主规则必须继续引导科学研究与决策。 (撰文:克莱尔·尼古拉斯)
科学是一项国际事业,不受任何地缘政治边界的约束。Sigma Xi 是一个国际学会,拥有全球各地的会员;该学会今年庆祝其成立 140 周年。尽管本刊物标题中含有“American”(美国)一词,但我们努力报道全球各地的研究成果。然而,若不承认今年是《美国独立宣言》发表 250 周年,则将错失良机:自建国以来,这个国家的历史影响了研究事业的发展方式,而美国的科学政策将继续对全球科学生态系统产生影响。
美国实验建立在一个理想之上:一个国家能够作为一个立宪民主国家进行自治,其标准根植于平等与自由。在本期中,我们审视该实验迄今为止的一些成果,并特别设置专题聚焦 250 年的科学与民主。该专题中的文章从历史角度回顾过去 250 年,同时展望这一历史所奠定的框架可能带来的未来成果。
在本期的《焦点》文章《“炎症与叛乱”》(第198–200页),Philip A. Rea 探讨了一起医疗虚假信息案例,并分析其可能对美国独立战争结果产生的影响。在《科学与工程价值观》专栏《“革命与革命者”》(第226–230页),Robert T. Pennock 审视了美国建国者们,他们的启蒙理念及这些理念如何影响《独立宣言》的起草与后续立法。而在《观点》栏目《“人间之盐”》(第218–221页),Laura Clerx 回顾了美国早期商业企业如何塑造科学研究的发展。

进入近现代,在《科学政策》栏目《“海洋补助金的理由”》(第208–212页),Samantha Muka 描述了这一政府项目如何构建海洋基础研究网络,而这一网络若仅依赖私营产业则无法实现。在《科学传播》栏目《“历史的竞争性叙事”》(第214–217页),Judith Kaplan 深入分析了一场博物馆展览如何揭示不同历史叙事对美国科学史的竞争性呈现。而在《科技论坛》栏目《“人工智能时代的选举”》(第222–225页),R. Michael Alvarez 阐释了在 2000 年美国总统选举中的选票争议如何推动投票系统问题量化研究,以及该研究如何随技术新进展不断演进。
在我们的《第一人称访谈》(《信息与社区》,第202–203页)中,Ahmer Arif讨论了以人为本的应对网络虚假信息的方式,以及获取优质信息对良好治理的重要性。而在《美国科学家》杂志的一项不寻常举措中,我们邀请了现任美国参议员Todd Young与Michelle Rozo共同撰写了一篇评论文章(《生物技术与美国发现精神》,第204–207页),文中他们探讨了新兴生物技术国家安全委员会及拟议中的支持国家生物技术倡议的立法。
此外,请务必查看我们的博客,了解本专题过去内容的亮点,以及与本专题主题相关的书评。同时,还可访问Sigma Xi的博客,了解更多关于该学会140年历史传承的信息。
近期,联邦研究资金遭受了不少打击,而此时庆祝历史或许会让我们心生矛盾。但此时此刻,我们更应承认科学与民主之间持续相互影响的重要意义。——Fenella Saunders
第114卷,第4期
艺术
艺术总监 芭芭拉·J·奥利奇诺
数字
数字总编辑 Nwabata Nnani
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主席 David B. Allison 会计 David Baker 候任主席 Beverly Hartline 前任主席 Daniel I. Rubenstein 执行董事兼出版人 Jamie L. Vernon
本访谈为《Wired for This》第4期的一部分,该播客系列由《美国科学家》(American Scientist)制作,探讨人类行为与神经科学。本期节目邀请昆士兰大学教育心理学教授 Jason Lodge(左侧)与德国德累斯顿工业大学系统协同中心的 Philipp Lorenz-Spreen(右侧)共同参与,与主持人 Celia Ford 讨论在线信息与学习话题。本节选内容已为长度与清晰度进行编辑。完整播客系列链接见《美国科学家》官网。
为何有些信息能长久留存,而另一些却如过眼云烟?
Jason Lodge [JL]:显著的瓶颈在于我们一次只能关注有限数量的事物。数十年研究表明,我们有选择地关注的事物更易被加工处理,因为它们进入意识与记忆,并持续影响我们。出于种种原因,技术发展——包括内嵌广告——的核心目标正是捕获这种选择性注意力。
Philipp Lorenz-Spreen [PLS]:我们偏好新奇与惊奇。注意力引导我们关注这些内容,因为了解新事物至关重要。但还有其他因素,尤其是当你思考信息源之间的竞争时。此外,负面情绪(如愤怒)也常引导注意力。人类存在负面偏见;负面标题更易成功。另一因素是“圈内 vs 圈外”情感,人类对此极易感受。任何内容若以“我们对他们”框架呈现,往往比其他内容更易成功。
在线信息的传播速度如何影响人们对其加工?
PLS:我们了解到,数百万甚至数十亿人在线活跃,发布、撰写、分享与互动内容。我们可通过元数据(如互动度)分析:何种内容获赞更多?帖子如何在社交网络中传播?谁在分享何物?我们能观察特定术语是否获得大量关注,并追踪趋势涨落。
我们受社会学家“社会加速”理论启发——技术进步加速生活并提高效率,但也推动社会运转更快,形成恶性循环,使我们陷入困境。我们将“公共话语”量化为话题标签的受欢迎度,发现其受欢迎度在多年间增长与消退的速度更快。随后,我们分析其他数据集,如 Google 搜索查询、Reddit 讨论、图书出版用词、电影票房等。
我们同样观察到这些加速动态:话语兴趣浪潮在不同主题间迅速跳转。我们仍在研究其对话语质量的影响,但可以想象,周转越快,跟进难度越大。这确实形成恶性循环:我们不得不跟进话语,却可能因此损害其他方面,如话语的深度。
信息传递方式如何影响学习?
JL:研究表明,若想深度学习某事,需付出艰苦的心智劳动。这种劳动常伴随困惑、挫败与焦虑,取决于学习内容。从 A 点到 B 点的艰辛过程正是关键。你必须投入努力,才能创造有效的学习体验。但娱乐或美学上令人愉悦的内容,更易被大脑加工。这类内容因“易于吸收”而吸引注意力。我们观察到大量案例,尤其在多媒体资源(如视频与播客)中:信息越易加工,越容易让你对自身知识量产生过度自信。
例如,一些精美的纪录片涵盖极复杂的概念,如宇宙学或量子物理。因制作精美,你可能观看一小时后自觉完全理解量子物理。当然,事实并非如此,但技术诱导我们误以为能更快抵达终点。久而久之,这种误判累积。对学生而言,这种误判会导致错误决策——他们或许需投入更多时间学习,却因过度自信而止步。
我们的研究采用经典测试方法评估理解力,同时询问受试者的自信度。某些人在测试中表现不佳,却信心满满;他们认为无需付出更多努力,也不觉得材料困难,显然对学习过度自信。
关键在于帮助学生测试自身理解。若你自认理解某事,可尝试向他人解释。若无法解释,或许尚未掌握足够深度。这种校准至关重要。专家不仅是“知道很多事”的人,更是“知道自身知识边界”的人。
完整播客见 americanscientist.org。
这把刀告诉你:别来招惹我

「这是把漂亮的刀,刀锋锐利,握感扎实」
—— 威廉·B.,北卡罗来纳州威尔明顿
我的朋友塞尔吉奥是名综合格斗战士。他的肩膀宽阔,肌肉发达,浑身上下的肌肉都有肌肉。他不是那种你想招惹的人。
这个彪形大汉对「坚韧」有句口头禅:要么学会打架,要么看起来像会打架的样子。
这道理简单明了。那些想找茬的人通常不会挑选酒吧里最大的家伙。如果你看起来像个惹不起的人,那你多半不会被惹。把我们的 Blue Bone Bowie 刀别在腰间,你传递的就是这个信息。
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1781年9月,因痛风疗养的英国海军上将乔治·布里奇斯·罗德尼未能亲临战场,能力相对薄弱的海军少将托马斯·格雷夫斯在决定性的切萨皮克湾海战中负责指挥英国舰队。格雷夫斯的失败在一个月后引发了约克镇围城战,最终导致英国向美法联军投降。
若这些舰队能在弗吉尼亚海岸投入战斗,或许能改写整个帝国的命运。
Rodney的失能引发一个耐人寻味的医学问题:为何英格兰最优秀的医生无法治疗痛风——这一困扰统治者数百年的疾病?答案可追溯至举足轻重的医师托马斯·西德纳姆。
西德纳姆被尊为“英格兰的希波克拉底”,本人也长期饱受痛风折磨,他于1689年去世,比美国独立战争早近一个世纪,但其著作对英国医疗实践产生了深远影响。他坚持的一项医学立场是:拒绝治疗痛风。在其1683年出版的《论痛风与水肿》中,西德纳姆写道:“经过长期实践,我毫不犹豫地断言,大多数被认为死于痛风的人,与其说是被疾病本身摧毁,不如说是被错误的治疗手段所毁灭。”
这一主张与欧洲大陆的常规做法相悖,欧洲大陆的医生成功地采用了一种标准疗法。该疗法是一种由秋季开花的小紫花制成的酊剂——秋水仙(colchicum,或称秋番红花Colchicum autumnale),它并非真正的番红花,而是百合科植物。这种植物的提取物可产生colchicine(秋水仙碱),时至今日仍广泛用于治疗炎症性疾病,尤其是痛风。其用途并不新颖:秋水仙早在约公元前1500年的埃及手稿《埃伯斯纸草书》中就被描述为关节疼痛的药物。
然而,在18世纪的英格兰,秋水仙却备受怀疑,并被排除在正统医疗实践之外。西德纳姆曾亲身体验其胃肠道副作用,遂将其斥为危险毒药。腹泻、恶心和腹部痉挛——这些如今被视为常见的、通常与剂量相关且随身体适应而自限的反应——在他看来足以令该药物被打入冷宫。西德纳姆的权威地位之重,以至于秋水仙作为痛风治疗手段在英国药典中几乎消失了一个多世纪。
若战术精准度再高一些,战局或许会逆转,世界地图也会与今日所见大相径庭。谁能料到,那些原本可能点燃殖民地怨恨、引发叛乱的进口关税,或许根本不会被征收?
这样的猜想属于医学与历史重叠的幽暗领域,但它也在静静提醒我们:帝国如同人体,既可能被外部征服,也可能从内部瓦解。一位海军上将或政治家的痛风看似与战争和外交的宏大叙事无关,但这些表面微不足道的不适,或许正是推动帝国潮汐变幻、悄然塑造民族命运的因素之一。
秋水仙,曾被视为毒物而遭鄙弃,却以一种静默的象征延续——倘若一位心甘情愿的医生早些让它绽放,或许就能扼杀叛乱于萌芽之中。
书目
Bywaters, E. G. L. 1962. 乔治四世时代与个体的痛风:一个病例史。《风湿病年鉴》21:325–338。
Copeman, W. S. C. 1964. 《痛风与风湿病简史》。加州大学出版社。
Dasgeb, B., D. Kornreich, K. McGuinn, L. Okon, I. Brownell, and D. L. Sackett. 2018. 秋水仙碱:一种具有新应用的古老药物。《英国皮肤病学杂志》178:350–356。
Lee, M. R. 1999. 秋水仙与痛风:裸女与肥胖绅士。《爱丁堡皇家内科医师学会会议录》29:65–70。
Nuki, G., and P. A. Simkin. 2006. 痛风与高尿酸血症及其治疗的简明历史。《关节炎研究与治疗》8:S1。
Pinals, R. S. 2021. 罗德尼海军上将的残疾如何拯救了美国革命。《Pharos》春季刊:27–29。
Porter, R. 2001. 王子的毒药。《新科学家》(1月20日)。
Philip A. Rea 是宾夕法尼亚大学生物学教授,同时也是 Roy and Diana Vagelos 生命科学与管理项目的 Rebecca 和 Arie Beldegrun 杰出主任。作为一名植物生物化学家,他的研究侧重于膜转运和细胞解毒过程。邮箱:parea@sas.upenn.edu
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近百年来,它一直沉睡。默默积蓄力量。海拔10,000英尺的它,实为一头酣睡的巨兽。直到1980年5月18日,这头“猛兽”突然暴怒,揭示了其最深的秘密。圣海伦斯火山喷发,掀起一根80,000英尺高的火山灰与浓烟柱。在这场混沌中,一件美丽的事物诞生了……我们那令人叹为观止的海伦石项链。
海伦石由圣海伦斯火山灼热的火山岩制成,这抹亮眼的绿色创造物已令全球珠宝设计师为之倾倒。今日,您只需99美元,即可拥有这颗6½克拉的惊艳之宝。
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他原本希望能找到许多应用这些方法的案例,但发现它们并未达到预期效果。许多社会挑战更多与人类行为有关,因此他攻读了人本设计博士学位,以进一步理解这些问题。人们如何与错误信息互动、如何以更民主的方式解决问题、如何围绕这些话题展开对话——他研究人们如何传播错误信息,并与不同社区合作,帮助他们培养更健康的信息交流方式。他现在是一名传播学助理教授,曾与《编辑总监》主编Fenella交谈(为长度和清晰度而编辑)。
这些在线环境中,不同国家之间是否存在与信息相关的文化差异?
我的同事Kayo Mimizuka和我研究了日本的QAnon现象。是的,日本存在大量QAnon支持者,但当地的动态与美国有所不同。有些群体围绕美国右翼政治叙事和政治家展开,并持反疫苗观点。这个国家在应对这类有问题叙事时存在许多文化差异。其中之一是他们拥有不同的“争论文化”,这是语言学家Deborah Tannen提出的概念。在西方国家,如美国,我们的争论文化更具对抗性。想想这种文化在我们社会中根深蒂固的程度:人们为自己的博士论文进行答辩,你攻击某个论点,你使用要点。而日本的态度不同。例如,在日本的辩论中,他们通常不会让两位演讲者在电视上激烈交锋,而是经常引入三种立场。那里更强调集体和谐与维护社会结构。一些试图对抗QAnon的日本社区通常不会直接反驳QAnon,而是从人们可能在寻求归属感或意义出发,尝试提供更健康的替代方案。这是一种不同的方法。
您如何与图书管理员和社区互动?
我们的工作重点是利用参与式设计方法与全国社区合作,帮助他们开展媒体素养工作。我们会将来自全国各地的图书管理员组织起来,组成小组设计他们认为能帮助社区的解决方案。其中一个例子叫做“提升长者”(Leveling Up Seniors)。你教年轻学生了解错误信息、它如何在网上传播,或人工智能如何助长错误信息。然后,这些学生需要教育长者。这种设计理念的核心在于,祖父母们更可能出于对孙辈所做事情的好奇而参与其中。这种设计理念是我个人永远想不到的。真正需要的是扎根社区的人来提出这些想法并使其成为现实。
但这个项目被贴上了DEI(多样性、公平与包容)项目的标签,并被取消资助。社区合作伙伴如图书馆已根据这一承诺制定计划并产生成本。当资金消失后,我们只能设法拼凑其他支持。我们最终设法解
其中一位海洋资助研究的商业用户的证词极好地诠释了该项目的价值。在1981年3月23日致小组委员会的信中,田纳西州查塔努加一家海鲜分销公司的总裁詹姆斯·赫德洛表示,他与海洋资助研究的合作始于向佛罗里达州圣彼得斯堡的国家海洋渔业局咨询如何熏制其捕获物以符合美国食品药品监督管理局的新标准。对方将他转介至佐治亚大学,在那里,由海洋资助资助的科学家在该领域开展研究,并教会他最终用于熏制并分销“30,000磅此前在现有鲜鱼市场无人问津的鱼”的方法。因此,海洋资助网络已为赫德洛提供了所需的信息与联系。后来,当赫德洛寻求帮助延长其产品保质期时,他与海洋资助学校德克萨斯农工大学及威斯康星大学合作,学习他们开发的新方法。赫德洛的证词表明,海洋资助产出的知识不仅不限于当地关切,而且该项目的真正重要之处在于任何所需知识都能且将被迅速共享。
这种免费获取的特性是关键所在,也是产业资助方、甚至州或市政府无法保证的优势。在海洋资助机构开展的科学研究具有国家重要性,若由其他来源资助,则无法维持开放的知识共享网络,而这正是海洋资助如此宝贵的原因。这些优势至今未变。
但海洋资助再次面临前途未卜的局面:美国总统唐纳德·特朗普政府提议削减美国国家海洋和大气管理局(NOAA)16亿美元预算,约占其总预算的27%。长期影响尚不明确,但随后的争执已使NOAA发放资助的能力陷入瘫痪。
海洋资助体现了政府最擅长的作为:投入少量资金,在无人问津之处发挥作用,并为公众带来巨大回报。土地资助大学与海洋资助研究的悠久美国传统,支撑着这个国家作为一个充满机遇、拥有优质生活的国度的核心身份。正如我所展示的,削减如此宝贵且高效的资源将是极其目光短浅的举动。
Carlton, J. S., C. J. Foley, and T. O. Höök. 2024. 《Sea Grant》研究资金:通过解决地方研究优先事项推进科学话语。 Oceanography 37:140–145。
Foley, C. J., M. Behl, and R. A. Briggs. 2020. 公共资助研究对沿海地区重要性的案例研究。国家海洋与大气管理局(国家海洋与大气管理局海洋授权学院项目)。
National Oceanic and Atmospheric Administration. 2026. 《Sea Grant 数据概览》。访问时间:2026年5月27日。 seagrant.noaa.gov/wp-content/uploads/2026/01/Sea-Grant-By-the-Numbers_January-2026_508.pdf
Oreskes, N. 2021. 《科学使命:军事资金如何塑造我们对海洋的认知与未知》。芝加哥大学出版社。
Ray, G. C. 1970. 生态学、法律与“海洋革命”。《Biological Conservation》3:7–17。
Ray, G. C. 1985. 人类与海洋——生态挑战。《American Zoologist》25:451–468。
Samantha Muka 是史蒂文斯理工学院科学、技术与社会项目副教授兼主任。她是《玻璃下的海洋》(Oceans under Glass,2022)一书的作者,目前正在撰写一部探讨20世纪后半叶美国沿海工程与废物管理政策历史的著作。邮箱:smuka@stevens.edu
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公众对美国国家历史博物馆(NMAH)的体验与价值观也是展览故事的重要组成部分。史密森尼学会工作人员和美国化学学会(ACS)都寻求观众反馈,以帮助塑造展览。
当史密森尼学会工作人员在编写展墙文字和标签脚本时,他们组织了焦点小组以收集公众意见。在《美国生活中的科学》(Science in American Life)展览开幕后,他们的研究继续通过向博物馆访客分发问卷进行。他们的问题从科学本身的定义开始。调查发现,访客认为科学“与电脑、汽车和自动取款机密不可分”;与此同时,他们也常引用更具哲学性的概念,如“理解”、“思想”和“怎么运作”。更广泛地,问卷显示观众将科学与“我们的生活方式、我们呼吸的空气”联系起来,与“构成我们世界的基本元素”联系起来,甚至与“太空及其间的一切”联系起来。
受访者对科学与社会的关系表达了复杂的看法。正如一份关于公众意见的内部总结所报告的:
他们意识到社会为科学研究提供资金支持,并创造对科学产品的需求,但非科学家对科学界内部不同角色的理解并不清晰。科学常被以整体化的方式讨论,而当访客具体讨论时,他们谈论的是最熟悉的方面。……他们首先将自己的角色视为子女的教育者、知情公民和消费者。
史密森尼学会的观众研究表明,美国化学学会对公众负面态度的担忧被夸大了。在讨论科学与社会时,受访者更多反思的是进步与发展,而非风险。在确定道德责任的归属时,他们也存在分歧。有些人“怀疑工业和大企业”,而其他人则认为“公民和消费者的需求影响了科学的使用方式”。
焦点小组也鼓励策展人展现博物馆访客多样的身份和背景。设计师根据这些反馈,制作了代表不同人群的科学家纸板人形,引导访客参观展览。美国化学学会存档的私人信件将这些努力视为不必要的“政治正确”。
但美国化学学会自己的非正式研究也强化了以公众意见为中心的重要性。例如,海因德尔(Heindel)询问俄亥俄州沃辛顿市威尔逊山学校的五年级学生,他们希望谁来主持展览的视频导览。榜单前列的投票结果是他们的朋友和其他学生,远超迈克尔·乔丹和麦考利·卡尔金等流行文化偶像。学生们的回答证实了史密森尼学会的发现:访客希望在展览中看到自己的身影。
在策展人与顾问之间的分歧根源上,美国化学会(ACS)担心,一个根植于历史而非科学发现的叙事可能会给人一种反科学的印象。史密森学会与美国化学会之间的往来信件详细记录了一场典型的争论,即如何呈现雷切尔·卡森的著作《寂静的春天》(Silent Spring,1962年畅销书,该书引起了对滥用杀虫剂——尤其是合成杀虫剂二氯二苯三氯乙烷(DDT)——危害的关注)。《寂静的春天》在全国激发了环保运动,同时也遭到了美国化工企业的猛烈抨击。
海因德尔指出策展人对《寂静的春天》的解读过于强调“化学的(大多为负面)影响”,而对其成功鲜有提及。美国化学会成员随即提笔修改,力求在公众呈现化学历史时达到“平衡”。在其他建议的修改中,他们要求展示DDT研发背后的人道主义动机。
早前的决定是将展览从1876年开始,以纪念雷姆森实验室的成立。
劳拉·克莱克斯 | 革命时期的地质知识根植于人类经验。
俄亥俄州地质调查局于1837年发布的报告首页上,绘有一幅南俄亥俄州地表下岩层的插图。岩层一层叠一层,按其沉积的时间顺序排列。平滑的岩层在页面上水平延伸,仅被两条微弱的垂直线条打破,这两条线从图顶部的煤层垂直切入中部的砂岩层。这两条线旁的标注以更模糊的文字写着:“盐井”。这些井是早期定居者为获取流淌于该州地表下的咸矿沉积物而挖掘的。
当我仔细研读这份地质调查报告时,这些盐井令我驻足思考。在18世纪和19世纪初的俄亥俄州,盐是一种有用且有利可图的商品。但为何早期地质学家会在一份明显旨在展示该州地质图的地图上,收录这些人类经济活动遗迹?原因在于,科学本身在美国250年历史进程中发生了变化。
如今,科学家常依赖专业仪器和方法,他们的实验在实验室和野外场地进行,这些场所似乎与日常生活相隔绝。然而在美利坚合众国建国之初,科学知识却源于普通的人类经验,包括经济经验。美国建国时期的政治经济——包括俄亥俄州早期的盐业——为19世纪美国科学家理解和描述脚下世界创造了条件。而当当代经济经验无法为科学家提供他们所寻求的关于该地区岩石的知识时,19世纪的美国人便转向过去,从该地区定居史的人类历史中寻找帮助他们理解地球历史的事实。
1776年,当《独立宣言》签署之时,“科学”一词的含义与今日不同。(实际上,在现代意义上指“研究自然世界的人”的“科学家”一词,直到1830年后才被广泛使用。)在18世纪,要被称为科学的或哲学的,意味着
早期地质学家发现,那些致力于开采矿产资源的人,往往能够提供关于北美岩石的丰富事实。
配备了一种用于逻辑组织事实以支持结论的方法。科学并不专属于对自然或物理世界的研究。人们可以谈论任何系统化知识领域的“科学”:宗教、法律、政治和经济都可以成为科学。
革命时期的美国人当然也对地球历史进行理论探讨。1793年,本杰明·富兰克林在一篇发表于美国哲学学会的论文中综合了现有关于地球形成的理论。此外,自殖民时期以来,定居者就已报告过经济上有用的矿物(如铜、铅和锌)的位置和特性。他们结合物理特征和化学分析来识别所探索领土中的矿物。
尽管18世纪晚期的自然哲学家进行实验的目的是发现物质世界的性质,但实验并非他们了解自然的唯一方式。他们还求助于人类经验。17世纪,弗朗西斯·培根写道,关于自然世界的事实是通过人类与自然的互动获取的。在建国时期,人类对自然世界的经验(包括经济生活的日常体验)仍是科学信息的重要来源。早期地质学家发现,那些从事矿产资源生产的人往往能够提供关于北美岩石的事实。
1837年,俄亥俄州的《地质调查第一次年报》是19世纪美国资助科学测绘工作的一波浪潮的一部分。该报告提供了许多实例,说明俄亥俄州早期地质学家如何依赖劳动者的经验来绘制该州岩石图并了解其特性。科学家兼历史学家塞缪尔·普雷斯科特·希尔德雷斯作为报告中“盐”部分的助理地质学家,坦率地承认报告中的许多信息都是“通过与钻井盐井相关的事实确认的”。例如,他了解到盐井钻探所揭示的岩石颜色和质地。
俄亥俄州的盐业历史对希尔德雷斯的地质工作尤为重要。在一幅他于1859年从该地区首批定居者家庭收集的1795年地图上,这位地质学家在顶部潦草地写下:“盐泉的发现引起的兴趣,如同今日发现金矿一般——1859年——S.P.H.”
这幅地图原属于俄亥俄州定居者格里芬·格林。19世纪中叶,格林的部分家信、友人信件及早期美国政府的公函随同地图一并归入希尔德雷斯手中。与许多早期定居者一样,格林在革命后经济困难时期为寻求机遇迁往俄亥俄。该州天然的盐泉在他看来仿佛是解决困境的良方。
盐在美国早期是一种利润丰厚的商品,被广泛用于食品保存、医药、牲畜饲养和皮革鞣制。在阿勒格尼山脉以西的领土上,人们深挖井道以获取地下盐矿。一旦盐水涌出地表,他们便煮沸蒸发水分,留下珍贵的白色矿物。
在18世纪80年代俄亥俄州定居之初,大部分食盐依赖从英格兰或北美东海岸进口——后者通过蒸发海水获取,再以高价出售至阿勒格尼山脉以西地区。格林和其他定居者则希望通过开发内陆盐泉获取食盐,并以更低价格向周边市场销售。
随着盐场工人不断向地下深处挖掘,他们将新的信息带到地表,州测绘地质学家便以此绘制俄亥俄州地下岩层图。
与西部土地的开发类似,俄亥俄州盐泉的发现也未能逃脱现已被美国声索的土地上原住民的争议。整个1790年代,西北邦联的原住民部落不断挑战美国在西北领地的主权。实际上,原住民的知识往往先于并指导殖民经济的发展。希尔德雷斯图表中所标注的格林“发现”盐泉,正是源于他听闻原住民在某处煮制食盐后秘密划独木舟前往的结果。
格林随即向美国政府申请租赁盐泉所在土地的使用权。由于俄亥俄尚未建州,仍由领地政府管辖,这一申请意味着需向东部的联邦政府请愿。1796年,他向国会申请“开发和经营”该泉。格林的理由是,现有非法开采盐泉的定居者使用原始方法——在软砂岩中挖掘,再煮沸积聚的盐水。要生产出对州有利可图的盐量,则需投资昂贵设备——深井、钻探设备、木制管道及熔炉——而“任何私人个体”在未获得政府法律保护的情况下,不会“自掏腰包”承担此费用。
1803年,俄亥俄州成为美国第17个州。州的合法建制为该州矿产资源(包括格林渴望经营十余年的盐泉)的更大规模经济开发提供了框架。1806年,州议会开始补贴俄亥俄盐场的开发,向深挖盐井、建造熔炉并改用煤炭而非木材作为燃料的业者提供经济激励。
随着时间的推移,盐场工人发现,若想生产出可观的盐产量,就必须越来越深地钻入俄亥俄州的岩层。1815年,州议会向盐场工人提供750美元,用于建造至少107米深的井。尽管如此,许多人仍发现很难将咸水压到地面,于是放弃了他们钻凿的场地。
随着盐工们在地球上挖得更深,他们将新的信息带到地表,州测绘地质学家据此绘制了俄亥俄州地下岩层的地图。立法机构的鼓励在19世纪初推动了对俄亥俄州岩石更为密集的经济开发。这种强化使得对地下世界的认知——从字面意义上讲——更为深入。1833年,希尔德雷斯编制了一份表格,列出了俄亥俄州东南部俄亥俄河支流马斯金格姆河附近地表以下305米深处发现的各类岩石。这位地质学家参考了一位名为L. G. 巴克的制盐工的记录,后者在世纪初曾在此处挖过一口井。这位制盐工的记录描述了希尔德雷斯表格中305米岩层中的250米。
到了1820年代,盐在俄亥俄州不再被视为稀缺商品。面对肯塔基州和西弗吉尼亚州更高产油井的竞争,该州将盐泉出售给私人,并停止补贴相关作业。
尽管化石燃料生产在19世纪末和20世纪初成为中西部各州经济的主导,但该地区盐业历史继续为科学研究带来回报。18世纪末至19世纪初的制盐工曾目睹从钻井现场冒出的气体,“向井周围喷洒水雾”,正如一位工人向希尔德雷斯描述的那样。在19世纪30年代的州测绘报告中,包括希尔德雷斯在内的地质学家将这种气体(可能是附近煤层中甲烷等气体的混合物)与盐岩沉积物联系起来。随着煤炭(以及后来的石油和天然气)在19世纪末至20世纪初的经济重要性日益凸显,旧盐井的位置成为附近化石燃料矿床的潜在指示标。
在建国之初,人类的需求与人类的驱动力——无论是巧妙的还是崇高的,逐利的还是世俗的——塑造了科学家对自然世界的认知。在俄亥俄州早期定居时期,政治与经济需求(如早期盐业的发展)塑造了对自然世界的认知。
然而,随着时间的推移,地质科学发展到如此程度,以至于它们与
特别说明
2017年,公司与上海浦东发展银行股份有限公司签订了《关于使用部分闲置募集资金进行现金管理的协议》。
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1683. 1684. 1685. 1686. 1687. 1688. 1689. 1690. 1691. 1692. 1693. 1694. 1695. 1696. 1697. 1698. 1699. 1700. 1701. 1702. 1703. 1704. 1705. 1706. 1707. 1708. 1709. 1710. 1711. 1712. 1713. 1714. 1715. 1716. 1717. 1718. 1719. 1720. 1721. 1722. 1723. 1724. 1725. 1726. 1727. 1728. 1729. 1730. 1731. 1732. 1733. 1734. 1735. 1736. 1737. 1738. 1739. 1740. 1741. 1742. 1743. 1744. 1745. 1746. 1747. 1748. 1749. 1750. 1751. 1752. 1753. 1754. 1755. 1756. 1757. 1758. 1759. 1760. 1761. 1762. 1763. 1764. 1765. 1766. 1767. 1768. 1769. 1770. 1771. 1772. 1773. 1774. 1775. 1776. 1777. 1778. 1779. 1780. 1781. 1782. 1783. 1784. 1785. 1786. 1787. 1788. 1789. 1790. 1791. 1792. 1793. 1794. 1795. 1796. 1797. 1798. 1799. 1800. 1801. 1802. 1803. 1804. 1805. 1806. 1807. 1808. 1809. 1810. 1811. 1812. 1813. 1814. 1815. 1816. 1817. 1818. 1819. 1820. 1821. 1822. 1823. 1824. 1825. 1826. 1827. 1828. 1829. 1830. 1831. 1832. 1833. 1834. 1835. 1836. 1837. 1838. 1839. 1840. 1841. 1842. 1843. 1844. 1845. 1846. 1847. 1848. 1849. 1850. 1851. 1852. 1853. 1854. 1855. 1856. 1857. 1858. 1859. 1860. 1861. 1862. 1863. 1864. 1865. 1866. 1867. 1868. 1869. 1870. 1871. 1872. 1873. 1874. 1875. 1876. 1877. 1878. 1879. 1880. 1881. 1882. 1883. 1884. 1885. 1886. 1887. 1888. 1889. 1890. 1891. 1892. 1893. 1894. 1895. 1896. 1897. 1898. 1899. 1900. 1901. 1902. 1903. 1904. 1905. 1906. 1907. 1908. 1909. 1910. 1911. 1912. 1913. 1914. 1915. 1916. 1917. 1918. 1919. 1920. 1921. 1922. 1923. 1924. 1925. 1926. 1927. 1928. 1929. 1930. 1931. 1932. 1933. 1934. 1935. 1936. 1937. 1938. 1939. 1940. 1941. 1942. 1943. 1944. 1945. 1946. 1947. 1948. 1949. 1950. 1951. 1952. 1953. 1954. 1955. 1956. 1957. 1958. 1959. 1960. 1961. 1962. 1963. 1964. 1965. 1966. 1967. 1968. 1969. 1970. 1971. 1972. 1973. 1974. 1975. 1976. 1977. 1978. 1979. 1980. 1981. 1982. 1983. 1984. 1985. 1986. 1987. 1988. 1989. 1990. 1991. 1992. 1993. 1994. 1995. 1996. 1997. 1998. 1999. 2000. 2001. 2002. 2003. 2004. 2005. 2006. 2007. 2008. 2009. 2010. 2011. 2012. 2013. 2014. 2015. 2016. 2017. 2018. 2019. 2020. 2021. 2022. 2023. 2024. 2025. 2026. 2027. 2028. 2029. 2030. 2031. 2032. 2033. 2034. 2035. 2036. 2037. 2038. 2039. 2040. 2041. 2042. 2043. 2044. 2045. 2046. 2047. 2048. 2049. 2050. 2051. 2052. 2053. 2054. 2055. 2056. 2057. 2058. 2059. 2060. 2061. 2062. 2063. 2064. 2065. 2066. 2067. 2068. 2069. 2070. 2071. 2072. 2073. 2074. 2075. 2076. 2077. 2078. 2079. 2080. 2081. 2082. 2083. 2084. 2085. 2086. 2087. 2088. 2089. 2090. 2091. 2092. 2093. 2094. 2095. 2096. 2097. 2098. 2099. 2100. 2101. 2102. 2103. 2104. 2105. 2106. 2107. 2108. 2109. 2110. 2111. 2112. 2113. 2114. 2115. 2116. 2117. 2118. 2119. 2120. 2121. 2122. 2123. 2124. 2125. 2126. 2127. 2128. 2129. 2130. 2131. 2132. 2133. 2134. 2135. 2136. 2137. 2138. 2139. 2140. 2141. 2142. 2143. 2144. 2145. 2146. 2147. 2148. 2149. 2150. 2151. 2152. 2153. 2154. 2155. 2156. 2157. 2158. 2159. 2160. 2161. 2162. 2163. 2164. 2165. 2166. 2167. 2168. 2169. 2170. 2171. 2172. 2173. 2174. 2175. 2176. 2177. 2178. 2179. 2180. 2181. 2182. 2183. 2184. 2185. 2186. 2187. 2188. 2189. 2190. 2191. 2192. 2193. 2194. 2195. 2196. 2197. 2198. 2199. 2200. 2201. 2202. 2203. 2204. 2205. 2206. 2207. 2208. 2209. 2210. 2211. 2212. 2213. 2214. 2215. 2216. 2217. 2218. 2219. 2220. 2221. 22. 2223. 2224. 2225. 2226. 2227. 2228. 2229. 2230. 2231. 2232. 2233. 2234. 2235. 2236. 2237. 2238. 2239. 2240. 2241. 2242. 2243. 2244. 2245. 2246. 2247. 2248. 2249. 2250. 2251. 2252. 2253. 2254. 2255. 2256. 2257. 2258. 2259. 2260. 2261. 2262. 2263. 2264. 2265. 2266. 2267. 2268. 2269. 2270. 2271. 2272. 2273. 2274. 2275. 2276. 2277. 2278. 2279. 2280. 2281. 2282. 2283. 2284. 2285. 2286. 2287. 2288. 2289. 2290. 2291. 2292. 2293. 2294. 2295. 2296. 2297. 2298. 2299. 2300. 2301. 2302. 2303. 2304. 2305. 2306. 2307. 2308. 2309. 2310. 2311. 2312. 2313. 2314. 2315. 2316. 2317. 2318. 2319. 2320. 2321. 2322. 2323. 2324. 2325. 2326. 2327. 2328. 2329. 2330. 2331. 2332. 2333. 2334. 2335. 2336. 2337. 2338. 2339. 2340. 2341. 2342. 2343. 2344. 2345. 2346. 2347. 2348. 2349. 2350. 2351. 2352. 2353. 2354. 2355. 2356. 2357. 2358. 2359. 2360. 2361. 2362. 2363. 2364. 2365. 2366. 2367. 2368. 2369. 2370. 2371. 2372. 2373. 2374. 2375. 2376. 2377. 2378. 2379. 2380. 2381. 2382. 2383. 2384. 2385. 2386. 2387. 2388. 2389. 2390. 2391. 2392. 2393. 2394. 2395. 2396. 2397. 2398. 2399. 2400. 2401. 2402. 2403. 2404. 2405. 2406. 2407. 2408. 2409. 2410. 2411. 2412. 2413. 2414. 2415. 2416. 2417. 2418. 2419. 2420. 2421. 2422. 2423. 2424. 2425. 2426. 2427. 2428. 2429. 2430. 2431. 2432. 2433. 2434. 2435. 2436. 2437. 2438. 2439. 2440. 2441. 2442. 2443. 2444. 2445. 2446. 2447. 2448. 2449. 2450. 2451. 2452. 2453. 2454. 2455. 2456. 2457. 2458. 2459. 2460. 2461. 2462. 2463. 2464. 2465. 2466. 2467. 2468. 2469. 2470. 2471. 2472. 2473. 2474. 2475. 2476. 2477. 2478. 2479. 2480. 2481. 2482. 2483. 2484. 2485. 2486. 2487. 2488. 2489. 2490. 2491. 2492. 2493. 2494. 2495. 2496. 2497. 2498. 2499. 2500. 2501. 2502. 2503. 2504. 2505. 2506. 2507. 2508. 2509. 2510. 2511. 2512. 2513. 2514. 2515. 2516. 2517. 2518. 2519. 2520. 2521. 2522. 2523. 2524. 2525. 2526. 2527. 2528. 2529. 2530. 2531. 2532. 2533. 2534. 2535. 2536. 2537. 2538. 2539. 2540. 2541. 2542. 2543. 2544. 2545. 2546. 2547. 2548. 2549. 2550. 2551. 2552. 2553. 2554. 2555. 2556. 2557. 2558. 2559. 2560. 2561. 2562. 2563. 2564. 2565. 2566. 2567. 2568. 2569. 2570. 2571. 2572. 2573. 2574. 2575. 2576. 2577. 2578. 2579. 2580. 2581. 2582. 2583. 2584. 2585. 2586. 2587. 2588. 2589. 2590. 2591. 2592. 2593. 2594. 2595. 2596. 2597. 2598. 2599. 2600. 2601. 2602. 2603. 2604. 2605. 2606. 2607. 2608. 2609. 2610. 2611. 2612. 2613. 2614. 2615. 2616. 2617. 2618. 2619. 2620. 2621. 2622. 2623. 2624. 2625. 2626. 2627. 2628. 2629. 2630. 2631. 2632. 2633. 2634. 2635. 2636. 2637. 2638. 2639. 2640. 2641. 2642. 2643. 2644. 2645. 2646. 2647. 2648. 2649. 2650. 2651. 2652. 2653. 2654. 2655. 2656. 2657. 2658. 2659. 2660. 2661. 2662. 2663. 2664. 2665. 2666. 2667. 2668. 2669. 2670. 2671. 2672. 2673. 2674. 2675. 2676. 2677. 2678. 2679. 2680. 2681. 2682. 2683. 2684. 2685. 2686. 2687. 2688. 2689. 2690. 2691. 2692. 2693. 2694. 2695. 2696. 2697. 2698. 2699. 2700. 2701. 2702. 2703. 2704. 2705. 2706. 2707. 2708. 2709. 2710. 2711. 2712. 2713. 2714. 2715. 2716. 2717. 2718. 2719. 2720. 2721. 2722. 2723. 2724. 2725. 2726. 2727. 2728. 2729. 2730. 2731. 2732. 2733. 2734. 2735. 2736. 2737. 2738. 2739. 2740. 2741. 2742. 2743. 2744. 2745. 2746. 2747. 2748. 2749. 2750. 2751. 2752. 2753. 2754. 2755. 2756. 2757. 2758. 2759. 2760. 2761. 2762. 2763. 2764. 2765. 2766. 2767. 2768. 2769. 2770. 2771. 2772. 2773. 2774. 2775. 2776. 2777. 2778. 2779. 2780. 2781. 2782. 2783. 2784. 2785. 2786. 2787. 2788. 2789. 2790. 2791. 2792. 2793. 2794. 2795. 2796. 2797. 2798. 2799. 2800. 2801. 2802. 2803. 2804. 2805. 2806. 2807. 2808. 2809. 2810. 2811. 2812. 2813. 2814. 2815. 2816. 2817. 2818. 2819. 2820. 2821. 2822. 2823. 2824. 2825. 2826. 2827. 2828. 2829. 2830. 2831. 2832. 2833. 2834. 2835. 2836. 2837. 2838. 2839. 2840. 2841. 2842. 2843. 2844. 2845. 2846. 2847. 2848. 2849. 2850. 2851. 2852. 2853. 2854. 2855. 2856. 2857. 2858. 2859. 2860. 2861. 2862. 2863. 2864. 2865. 2866. 2867. 2868. 2869. 2870. 2871. 2872. 2873. 2874. 2875. 2876. 2877. 2878. 2879. 2880. 2881. 2882. 2883. 2884. 2885. 2886. 2887. 2888. 2889. 2890. 2891. 2892. 2893. 2894. 2895. 2896. 2897. 2898. 2899. 2900. 2901. 2902. 2903. 2904. 2905. 2906. 2907. 2908. 2909. 2910. 2911. 2912. 2913. 2914. 2915. 2916. 2917. 2918. 2919. 2920. 2921. 2922. 2923. 2924. 2925. 2926. 2927. 2928. 2929. 2930. 2931. 2932. 2933. 2934. 2935. 2936. 2937. 2938. 2939. 2940. 2941. 2942. 2943. 2944. 2945. 2946. 2947. 2948. 2949. 2950. 2951. 2952. 2953. 2954. 2955. 2956. 2957. 2958. 2959. 2960. 2961. 2962. 2963. 2964. 2965. 2966. 2967. 2968. 2969. 2970. 2971. 2972. 2973. 2974. 2975. 2976. 2977. 2978. 2979. 2980. 2981. 2982. 2983. 2984. 2985. 2986. 2987. 2988. 2989. 2990. 2991. 2992. 2993. 2994. 2995. 2996. 2997. 2998. 2999. 3000. |
|---|
在“民主党倾向”选民注册数量明显高于“共和党倾向”选民注册数量的地区,被标注为“Dem-Leaning”;在“共和党倾向”选民注册数量明显高于“民主党倾向”选民注册数量的地区,被标注为“Rep-Leaning”;而在党派平衡相对较高的地区,则被标注为“Competitive”。
在面板 D 中有一个相关性值得注意:通常情况下,“共和党倾向”县的总统选票残差投票率分布低于“民主党倾向”县。尽管这一相关性需要进一步研究,但最可能的解释是,“民主党倾向”县的人口构成与“共和党倾向”县不同,其选民群体中更可能存在低投票率(undervote)或高投票率(overvote)的情况。
2000年的佛罗里达州选举对选举管理体系造成了巨大冲击,推动了全美范围内的选举改革,州和联邦政府大量投入资金用于投票技术和选举管理改进,并催生了选举科学这一新兴学术领域。然而,新技术和选举管理改进的资金投入并未持续,选举管理变得日益复杂且成本高昂,目前许多选票因相对简单的错误和问题而流失,特别是随着便利投票改革的兴起。
具有讽刺意味的是,尽管我们的投票系统复杂且技术更新缓慢,但我们正处于技术快速采用的时期,尤其是生成式人工智能的爆炸式增长。一个显而易见的问题是:人工智能是否能用于改善美国的选举管理?
通过与华盛顿大学圣路易斯分校的独特合作,2025年我们召集了两场大型会议,邀请选举官员、选举科学家、技术专家及其他利益相关者共同探讨这一问题。我们了解到,选举官员对采用新技术如人工智能的步伐缓慢;在幅员辽阔的民主国家中,他们只愿在新技术100%可靠时才会使用。相反,我们听到的是选举官员仅在有限范围内使用人工智能,例如处理基本办公任务。
但选举科学家需要推动开发和测试人工智能,以改善选举管理、降低成本和复杂性、提升选民体验。例如,目前全美正在测试人工智能系统,用于自动化邮寄投票的签名验证流程。为改善选举管理,这些系统应能降低成本、提高签名验证准确性,并在选民邮寄选票出现可修正错误时更快联系选民。
人工智能系统还可帮助选举官员测试和改进选举材料。例如,选举前的一项重要任务是,官员需为所有选票上的选举准备信息和选票材料,涵盖不同“选票样式”和多种语言。亟需开发、测试并部署人工智能系统,使这一流程快速、准确且划算。这些系统还应设计为向选举官员发出选票布局和设计问题的警示。尽管选票设计问题已被深入研究,例如宾夕法尼亚大学政治学家迈克尔·莫尔斯及其同事的研究,但此类问题仍可能在选举材料中出现。
能否用技术减少邮寄投票中的常见错误?一个设想是借鉴洛杉矶县“交互式样本选票”的模式:选民可在任何个人电子设备上访问样本选票,并在前往投票中心前通过生成“投票通行证”(基本上是一个二维码)标记自己的选择。一旦到达投票中心并完成身份验证后,他们可在选票标记设备上使用投票通行证获取预先标记的选票。该系统可防止超额投票并提醒遗漏投票。由于选民在投票中心亲自完成身份验证,许多可能导致邮寄选票被拒收的问题(如缺少签名或选票迟到)得以消除。借助人工智能,或许有可能设计出同样安全且私密的系统,帮助选民扫描选票或选票信封上的信息,从而减轻或预防邮寄选票问题。
然而,随着投票系统中技术的普及,官员们需要投入更多精力应对选举网络安全。人工智能公司Anthropic近期宣布,其Mythos模型可能被用于网络攻击。那些
在美洲殖民地,本杰明·富兰克林是科学与国家联系的最佳代表。皮尔在伦敦学习绘画时曾与富兰克林相识,后来皮尔临摹了苏格兰艺术家戴维·马丁于1766年创作的“拇指肖像”富兰克林画像——画中富兰克林与艾萨克·牛顿的半身像相对而立,采用其标志性的阅读姿势(手肘支在桌上,拇指抵着下巴),以保持眼镜能专注于书页。1724年,富兰克林年少时独自前往伦敦学习印刷业,曾试图与牛顿见面,但未能成功;牛顿的革命性物理学后来激发了他的科学研究。富兰克林关于电的理论与实验,尤其是他于1752年进行的风筝实验(证明闪电是电的一种形式),奠定了他的科学声誉,这对他日后在法国作为政治盟友的声望至关重要。后来的一幅法国肖像将富兰克林描绘为一尊类似宙斯的人物,在智慧女神的协助下驱散闪电,并命令战神推翻贪婪与暴政。画像下方的拉丁铭文颂扬其荣耀:“他从天空夺走闪电,从暴君手中夺走权杖。”
约翰·亚当斯曾任《独立宣言》起草委员会五人成员,后成为美国第二任总统,他抱怨说,大众想象力将美国革命简化为富兰克林夺走闪电并交予华盛顿挥舞。诚然,许多美国开国元勋都承担了责任并拥有科学思维。乔赛亚·巴特利特很可能是第二位
牛顿的运动定律。汤姆森的观点是正确的,即自然法则在当时被广泛理解的范围超出了科学意义上的含义,但这些争论有时却只见树木不见森林。即使他们并不完全理解牛顿定律的技术细节,开国元勋们也在吸收其革命性的科学思维。
根据麻省理工学院历史学家兼科学哲学家托马斯·库恩提出的颇具影响力的科学革命模型,科学家在常规理论框架内工作,除非模型与观察之间的异常累积到一定程度,需要从根本上改变方法。例如,哥白尼革命拒绝了地球静止于嵌套球体中心的模型,转而采用地球围绕太阳运行的模型,但这一过程仅在异常累累积迫使库恩所谓的“范式转换”之后才发生。人们在《独立宣言》列举的对国王暴政的不满中也能找到类似模式,如国王拒绝遵循“对公共福祉必要”的法律。宣言的明确暗示是,君主制与美国殖民者的自然权利之间的脱节,迫使这一根本性决裂成为必要。
科学模型试图更好地揭示自然法则,即构建自然世界的因果关系。同样,那个时代的政治哲学家也在寻求一种能更好体现他们所认为的构建道德世界的自然权利的政府模型。杰斐逊的檄文不仅仅是一份宣言;它承担起以道德层面证明这场革命正当性的责任。这种必要性是约翰·洛克政治哲学的一个要素,洛克是杰斐逊“三位一体”中的第二位,曾阐述过由被治者同意而组建政府的政治理想。
革命之所以有理据,是因为存在压迫的模式——“一连串的滥权行为”——这是洛克的措辞,杰斐逊在引介殖民地民众对英王室不满时逐字引用。殖民地民众对《印花税法》的抗议——“无代表权的税收”——正是这一革命理想的一个例证。
这种政治理念对其公民的要求,与科学对研究者的要求如出一辙。它拒绝将血统或出身作为特权视角;证据而非权威,应决定结论。它假设所有人在独立评估真相时机会均等;任何有知识的人原则上都能进行观察并验证。它试图发现世界;科学理论旨在揭示自然法则,而非我们的偏好。
代议制政府依赖于当选官员,他们代表的不是我们的个人偏好,而是我们的理性利益,并提供一个框架,让我们在约束范围内表达偏好,同时允许他人同样行事。在此观念下,政府并不创造权利;相反,它体现了世界道德结构中固有的自然权利。正如狄金森所言,基本权利“并非通过文书和印章附加于我们”,而是根植于“我们天性的法则”。
《独立宣言》中的自然法则概念涵盖了物理与道德两个层面;自然权利被视为与生俱来。撇开哲学论证不谈,假设自然权利确实存在,那么它们是仅通过理性确定,还是借助某种道德感知?它们是由上帝创造的,还是拥有自主的基础?只要人们接受启蒙思想——即通过理性和反思能够识别这些原则——并非所有这些问题都需要解决。在《独立宣言》中,富兰克林将杰斐逊最初的措辞“这些真理是神圣而不可否认的”改为“不言而喻”,从而回避了这一问题,但他保留了“权利由造物主赋予”的条款。杰斐逊不太可能反对;他和富兰克林都是自然神论者,他们摒弃了传统基督教的大部分内容,持守一种更为普遍的上帝观,即上帝是世界秩序的创造者。
开国元勋们在个人宗教信仰上存在分歧,但他们一致认为政府无权干预思想领域的运作。杰斐逊的推理具有代表性。他在《弗吉尼亚笔记》中写道:“政府的合法权力仅及于对他人造成伤害的行为。但我的邻居说有二十个神或没有神,这并未伤害我。”华盛顿在写给罗德岛纽波特希伯来会众的《信函》中,将这种“良心自由”视为值得效仿的美国政策。宗教表达自由不应是“容忍”或“恩赐”,而应是“行使固有的自然权利”。《美国权利法案》于1791年批准生效,将这些以及其他关键自由(即使未列举者)正式纳入宪法。
在战争结束后,为一个多元化社会制定一套适当的政治规则是必要的一步,因为这些规则将成为国家未来公民幸福的基础。亚当斯在日记中反思了秩序、系统与计划的重要性,以及它们在新实验和法律中的应用:“能够将这些要素结合为治理社会的规则,以实现和平、富足与自由的人,拥有伟大的政治天赋。”他于1780年在写给妻子阿比盖尔的信中表示,他有责任研究政治、战争与谈判,以便他们的子女能自由学习数学与科学,让孙辈有权学习绘画与艺术。在他看来,为了获得这些利益,他自己的首要职责是“治理之学”。
对自然真理进行科学调查的方法论承诺对于和平政府至关重要:没有它,自由与正义都无法成功地被概念化或捍卫。自由、平等、现实!应成为一个秩序井然的国家的三位一体格言。开国者们认为权利是世界合法结构的一部分,因此认为这些权利是建立一个功能性政府的基础,但他们也理解这些权利有多种可能的实现方式。基于这样的政府理论,宪法可以被视为一项政治假说。
拉什在1787年制宪会议期间曾表示“政府是一门科学”,因此代表们需要时间通过经验获取必要的知识;他建议延长任期,而非提议的三年限制,以便他们能够提升资质。官员的规则必须确定。何种权力平衡才能最有效地防止暴政卷土重来?一院制还是两院制更稳定?何种制衡体系能阻止总统成为国王?开国者们激烈辩论,常用科学类比来讨论哪种模式最能体现自然理想。迪金森曾提出其“太阳系”类比,以推荐其在赋予州与中央政府权力之间的平衡模式。
测试这些选项可被视为一种政治版本的科学思维与弗朗西斯·培根开创的实验方法。培根是迪金森的精神偶像,正如迪金森在日记中所评价的那样,“他是有史以来最伟大的人,其思想被认为是自然的对应物”。
开国者们持有不同的个人宗教信仰,但他们一致认为政府无权干预思想的运作。
杰斐逊持有类似观点;在他委任的三位一体肖像中,他希望将培根置于三角形顶端。杰斐逊对培根方法的成功持乐观态度,正如他在写给哈佛大学本杰明·沃特豪斯的信中所言:“当我思考我在有生之年见证的科学巨大进步与艺术发现时,我满怀信心地期待当代能取得同样进步,并确信他们将因此比我们更睿智,正如我们比先辈更睿智。”
华盛顿在其最后一次向国会发表的年度演讲中也提及“政府的科学”,作为其倡议建立国家大学的论据之一。他在1796年重申了这一呼吁
开国者们将政府的科学与其道德进步的可能性视为同一光谱。杰斐逊反对频繁修改宪法,但在一封信中(信中部分文字现已镌刻于杰斐逊纪念堂)他主张:“法律与制度必须与人类思想的进步同步。随着思想更加成熟、更加开明,新发现不断涌现,新真理被揭示,风俗与舆论随之改变,制度也必须随时代前行。”
华盛顿认为,宪法联邦的价值将“为每一位有思考力且品德高尚的心灵所认同”,因此人们应当怀疑那些虚假的爱国者——他们可能试图削弱联邦或煽动成员间的分裂,正如他在《告别演说》中所写。反抗专制权力的革命永远不会彻底。公民必须继续检验并强化其法律体系的韧性,以维护整体真正的政府。“是否存在疑问,一个共同政府能否涵盖如此广阔的领域?让实践来解答。……我们有理由期待,整体的适当组织……将为这场实验带来圆满结局。这值得一次公正而充分的尝试。”为使革命持续向前,我们应重新致力于启发并奠定这场革命的科学思维。
长期以来,人类语言的结构与本质主要通过研究自然语言的数据进行探索——即由人类实际使用的语言(与人工智能模型生成的语言相对)。该研究尤其关注区分一种语言与另一种语言的特征(语言参数),以及那些被认为为所有语言所共有的特征(语言普遍性)。尽管某些脑电图反应可能在不同语言间具有普遍性,但其他反应因语言特定结构而异。若存在普遍性,其可能围绕所有人类共通的广泛心理过程,如分配注意力、察觉不一致或异常含义,或更新语境。最终,我们仍缺乏足够的语言间对比研究及相关现象,无法确定其存在性。
对语言能力与脑结构关系的首次探索通过尸检进行,主要涉及对失语症的研究——失语症是一种影响交流能力的语言障碍,其严重程度各异。失语症相关的语言损伤可能源于大脑中控制语言生成或理解的特定区域的选择性损伤或病变。两个知名案例被认为开启了语言神经学研究,涉及两名失语症患者,其大脑显示局部病变,被认为是特定语言损伤的原因。
第一个案例涉及一名法国男子路易斯·维克多·勒博涅(Louis Victor Leborgne),他于1861年由法国外科医生兼人类学家保罗·皮埃尔·布洛卡(Paul Pierre Broca)治疗。布洛卡在勒博涅于数日后去世前,研究了其表达性缺陷。在30岁起的近20年间,勒博涅仅能发出“tan”这一音节,因此得绰号“Tan先生”。除这一语言限制外,勒博涅的其他认知能力(包括听觉、理解及计算——即内部计算、评估或权衡因素)均保持完好。布洛卡对勒博涅大脑的尸检显示其左半球后下额回存在深度病变(见第236页图)。左额叶的这一区域——现称布洛卡区——对应于前运动皮层,负责计划、控制和执行随意动作。由于脑部病变,勒博涅无法再控制面部肌肉和发音器官,将概念转化为语法化的词串。
几年后,德国神经学家卡尔·韦尼克(Carl Wernicke)调查了一个几乎相反的案例:一名患者虽能流利说话,但无法在脑海中表征词语和句子的意义(现称韦尼克失语症)。在该患者去世后,韦尼克发现死者左半球颞上回存在损伤,与布洛卡区相邻。这一观察支持了如今称作韦尼克区的结构控制理解能力的假说(见第236页图)。
整体论、定位论与脑功能成像
神经科学研究中,大脑功能主要从整体论和定位论两种视角进行探索。整体论认为,大脑功能源于大脑皮层不同区域的协同活动;而定位论则认为,这些功能涉及明确划分的特定区域。在20世纪初,美国行为主义者卡尔·拉什利(Karl Lashley,1890—1958)和德国神经学家库尔特·戈尔茨坦(Kurt Goldstein,1878—1965)主要倡导整体论观点,认为大脑可通过其他区域的活动补偿某一区域的损伤。而德国神经科学家科尔比尼安·布罗德曼(Korbinian Brodmann,1868—1918)在20世纪初期则支持定位论,认为大脑不同区域的物理差异与特定功能限制相关。基于这一前提,布罗德曼根据大脑细胞组织、层次和结构,划分出约52个功能上独立的区域。
随着成像技术的发展,这些宏观理论得以细化,并推翻了左半球是语言生成与理解唯一中心的传统认知。脑成像技术揭示了右半球在理解语言与语境关系中的重要作用,包括推理、情感内容和隐喻等能力。
当前神经科学研究语言加工的最常用方法是脑电图(EEG)和脑磁图(MEG),它们分别记录大脑的电活动和磁场。这两种技术均能捕捉与特定认知事件(如看到物体或解码信息)相对应的神经活动,且时间分辨率极高,能以毫秒级精度测量大脑活动变化,因此非常适合研究大脑快速通过多个语言加工阶段的过程。
其他技术通过血流动力学现象监测大脑活动,即血液循环变化可揭示参与者注意刺激时大脑的活跃区域。这些方法包括: - 功能磁共振成像(fMRI):测量任务执行时氧合血流的变化; - 正电子发射断层扫描(PET):通过放射性示踪剂(常为代谢指标)的空间分布监测大脑活动; - 近红外光谱(NIRS):分析生物组织在近红外光谱下的反应,进一步反映血红蛋白和血氧饱和度变化。
除血液成像技术外,经颅磁刺激(TMS)通过将短而强的磁脉冲穿过颅骨刺激大脑活动,让研究人员得以激活特定脑区。
与脑电图(EEG)相比,其他神经生理技术在语言加工实验中更难使用。它们通常成本更高,因此实验人员需要依赖校外设施。此外,由于每种技术对语言加工的测量方式不同,特定实验所用的语言刺激必须调整并校准,以匹配机器强加的限制。例如,适合时间分辨率更高的EEG的刺激,可能不适合提供更高空间分辨率但时间分辨率较低的fMRI。此外,某些技术对实验参与者动作更敏感,因此产生的信号更易受到记录“噪声”的影响。这些不必要的现象会生成伪迹,即信号中不反映所观察效应的部分。
更近期的实验设计目标是尽可能接近语言信息在真实对话中的加工方式。遗憾的是,每种成像技术强加的测量参数使得实现这一目标困难重重,尽管并非不可能。但即使现有技术也让我们能超越损伤研究和推断性行为实验,直接观察大脑活动并寻找心理编码的明显迹象。现在我们能寻找时间模式,见证大脑对句子做出反应的时刻——识别单词、解析句法或尝试构建意义。这些功能都是语言加工和存储的核心方面,也是复杂结构如何让我们误信虚假事实的关键。
假设与误导:大脑的默认模式
大脑倾向于在未经质疑的情况下接受隐含或预设信息——它先构建意义,再(有时)核实准确性。例如,当听到句子“The present king of France is bald”(现任法国国王是秃子)时,定冠词“the”暗示听者应已知晓(虚假的)事实——法国存在一位国王,这可能导致他们在记忆中更新这一隐含信息。
基于测量的系统性脑部反应,我们得以推断出特定的认知和神经结构。换句话说,神经语言学家正在寻找一种罗塞塔石碑,将脑电图模式与大脑处理特定语言刺激(无论是单词、短语、句子或其结构特征)的过程相关联。
研究有时依赖于实验心理学领域内开发的程序,后来又依赖于神经学领域——我们当前对大脑-语言接口的大部分知识都源于此。
尽管我们对大脑空间和结构的了解大多来自fMRI、MEG和病变研究,但
保罗·皮埃尔·布洛卡
卡尔·韦尼克
Wellcome Collection, J. F. Lehmann, 慕尼黑;James.med.nz/Wikimedia Commons, Leborgne等人. Brain 130:1432
神经语言学的两位先驱——法国外科医生保罗·皮埃尔·布洛卡(左上)和德国神经学家卡尔·韦尼克(右上)——通过对语言障碍患者的尸检,确定了大脑结构与语言之间的关系。布洛卡将一名患者仅能发出“tan”音节的现象与其大脑中与随意动作相关的区域的严重病变联系起来(底部左侧照片),该区域现被称为布洛卡区(中间示意图,蓝色)。韦尼克则将一名患者无法在脑海中表征单词和句子含义的现象与左半球另一区域的损伤联系起来,该区域现被称为韦尼克区(中间示意图,绿色)。
对语言过程脑信号特征的分析主要通过EEG技术进行,该技术可测量脑振荡模式(也称为脑节律)和时间依赖性成分,如在特定时间窗口内发展的波形,称为事件相关电位(ERPs)。ERPs通常表现为具有正负电压偏转的波形。这些上升和下降会产生明显的凸起和凹陷(称为成分),这些成分通过潜伏期(刺激出现与人类处理器加工该刺激之间的时间)、正负极性(对刺激的电压变化方向,如单词)、振幅以及头皮分布(大致表明脑部反应最强的位置的电活动模式——见第238页示意图)来识别。
如第235页示意图所示,EEG图包含多个成分,每个成分通常以其极性(N表示负,P表示正)和潜伏期(毫秒)命名。这些时间窗口大致对应已知事件:0–100毫秒是基本感觉检测的窗口;100–250毫秒是知觉和注意的时机;250–500毫秒是高级思维和决策发生的时机。由此产生的标签如P300、N200、P600或N400。
需要明确的是,这些波形的峰谷并不代表大脑某些区域活动的增强或减弱,而是代表同步脑活动模式,这些模式已被实验证明与特定心理过程相关。它们也不代表单个神经元的活动。更恰当的比喻是,这些波形如同管弦乐队在糟糕收音机静电中的演奏效果:静电可能仍会掩盖部分背景音乐,但某些乐器和人声仍会突出并清晰可辨。此外,这里的正负指的是电极处电流的方向,而非活动的多少。神经语言学领域迄今已积累大量证据,证明某些正负偏转与不同类型的语言加工及所需努力程度之间存在相关性。
首批注意到这一关联的学者是来自加州大学圣迭戈分校的 玛尔塔·库塔斯(Marta Kutas)与伊利诺伊大学厄巴纳-香槟分校的 卡拉·D. 费德迈尔(Kara D. Federmeier)。在 20 世纪 80 年代,她们发现名为 N400 的负向成分倾向于被句中意义异常或出乎意料的词语所激发。例如,当实验参与者阅读「她用袜子吃面包」这样的句子时,其脑电图信号上会出现相当显著的 N400 峰值。
在后续研究中,N400 与检测词语或句子(语义层面)的意义异常,以及句中某些信息的特定包装方式高度相关。例如,「我的白色汽车」这一短语——它预设了「我有一辆白色汽车」这一事实——若该指代尚未在对话中共享,则会引发更强的 N400 效应;反之,若「我有一辆白色汽车」被明确断言,则该神经效应会减弱。这种差异表明,对新信息的预设会导致处理指令与接受者实际接收状态间的错配:接受者被告知将预设视为已共享的知识,而实际上它并未成为共同背景的一部分。这一建议会迫使先前期望进行修正,并附加额外的处理成本。
过去 10 年间,神经生理学研究(主要通过脑电图开展)深刻揭示了人类大脑如何在语境中构建意义。其中,该领域探讨了说话者如何传递「隐藏在其他意义背后的意义」,或通过策略(如 暗示(有意隐藏的意义)或 预设(在交互中被视为理所当然的内容))将某些内容保持隐含。我在之前的文章中讨论过这些概念(见《操纵性语言的艺术与科学》,2022 年 9–10 月),但本文旨在更具体地深入探讨与这些棘手成分相关的脑活动,以及我们能从中学习到大脑如何处理语言。
2016 年,意大利帕维亚高等研究学院的神经语言学家 瓦伦蒂娜·班比尼(Valentina Bambini)及其团队开展的一项研究展示了大脑如何响应非字面与隐含意义。研究者记录了参与者在面对隐喻及其等效字面表达时的脑电图活动,并设置了不同框架的语境,如包含隐喻解释线索的语境与无此类线索的语境。
例如,部分参与者阅读了语境-陈述对,如「你知道那条鱼是什么吗?一条鲨鱼。」(此处「鲨鱼」为字面用法),而其他参与者则面对对如「你知道那位律师是什么吗?一条鲨鱼。」(此处「鲨鱼」为隐喻用法)。整体而言,隐喻理解与 N400 及 P600 成分的更大振幅相关,它们分别指示了在梳理隐喻非字面内容时的困难增加(N400 效应)以及更新当前话语心理模型所需的努力(P600 效应)。
近期,功能性磁共振成像(fMRI)被用于调查大脑对特定类型 隐含意义(即引导听话者推断的隐藏意义)的反应。在 2022 年的一项研究中,以色列特拉维夫大学的神经科学家 希里·霍尼克(Shiri Hornick)与 埃纳特·舍特里特(Einat Shetreet)向实验参与者呈现了嵌入特定语境的句子,如「她遛了莱西」,该语境允许推断出只有莱西(而非其他狗)被遛。作者发现,此类隐含意义激活了名为额叶前外侧皮质(与推理生成相关)及右下顶叶(可能与 心智理论 能力相关,即如将心理状态归因于他人或根据任务从一个刺激转移注意力的能力)的脑区。
此前,我在 2017 年与 2018 年发表的论文中报告了特定脑电图成分,它们在处理 预设 时表现出显著模式。在这些实验中,每当预设涉及未共享的内容(即接收者心中不存在的数据)时,我们观察到更显著的 N400 效应。在其中一项研究中,N400 成分的更显著峰值随后再次由 P600 伴随。在科学文献中,P600 也被与句法结构分析困难增加、处理修复(或纠正)过程相关联。
当参与者处理话语中的假设时,会引发相应的神经反应。正如已提及的,假设由特定的词汇单位和结构触发,包括带有定冠词的名词短语(如“the gift”);从句(“When that building was demolished...”);以及表示状态变化的动词(如“stopped”在“John stopped smoking”中)。
研究已将P600成分与句子分析难度联系起来,例如神经语言学家Petra B. Schumacher(德国科隆大学)的观察:当名词短语“the chief”前的句子未包含相同信息时,其处理成本更高。在一项EEG实验中,当参与者听到有人说“我现在要去购物。‘the chief’不会知道这件事”时,假设“the chief”会引发更大的大脑反应。
大脑倾向于先构建意义,随后(有时)再进行准确性检查。这种高效且连贯的分析机制使说话者能巧妙引入假设,而听话者可能不加批判地接受。不难看出,大脑功能的这一特性可能被用于操纵性沟通。
这一研究始于20世纪70年代的认知心理学领域,特别是由加州大学欧文分校的心理学家Elizabeth F. Loftus开创。Loftus研究了与虚假信息相关的假设如何诱导接收者将该信息在心理上表征为真实,从而将虚假细节纳入记忆。在一项实验中,Loftus向参与者播放了一段短片,随后询问理解性问题。部分问题包含虚假假设,如“路标上有桥的图案在哪里?”(实际并未出现此路标);其他问题则包含虚假断言,如“是否有一个带桥图像的路标?”参与者仅能识别出被明确断言的虚假信息,而被假设或暗含的信息则被视为真实。
Loftus的研究对认知心理学和记忆研究产生了重大影响,并成为众多实验语言学研究的先驱,这些研究旨在识别大脑和注意力对操纵性沟通的反应。更广泛地,假设现象在宣传话语研究中也备受关注。
P600振幅在听到“今天首领去了英国。”这样的回答后,比听到“ chief today.”这样的回答后更高。需要更新话语心理模型与更高的P600峰值相关,因为当信息为新信息且属预设内容时,大脑需付出额外努力来更新心理模型。
值得注意的是,研究表明,这些更新无需基于事实。大脑默认倾向于在未经质疑的情况下接受预设内容。
这种机制可被用于话题设定、构建说服性论点或传播虚假信息。同样明确的是,公民与消费者若了解这些倾向并时刻铭记,将从中受益。
近年来,许多关于语言处理的研究试图理解人类大脑如何应对不同类型的语言操控,特别是不同的信息包装方式如何影响其
该研究方向的一个重要发展涉及教学维度,具体而言,即是否有可能指导公民了解某些沟通策略如何在低于我们有意识注意力的层面上潜移默化地植入信息。罗马第三大学的一项实验即为此类研究的典型案例。该实验特别有效,因为其目标群体是接近选举年龄的学生,并指导他们解码政治信息中常隐含的暗示和预设。
此类实验所获数据可用于设计练习和教育路径,从而提升语言学习效果,并使此类教学更具科学性、更符合学习者的认知风格。我相信,神经认知语言研究能够为教学材料的设计提供有效参考和实用工具,从而提升各类教育形式的有效性。
某大学为高中生开设培训课程,教授如何在不同类型的说服性文本中识别操纵性沟通。在理论课程中,操纵现象(如预设、蕴含及模糊与比喻语言)被呈现并举例说明。学生需在不同文本类型中识别这些现象,并尝试生成此类语言。例如,在展示与可口可乐2009年口号“打开快乐”类似的句式后,我们向学生提问:“你能在这条信息中找到哪些隐含内容?”“这条信息传达了哪些预设和/或蕴含?”成功的学生指出,该口号不仅预设快乐可在可乐瓶中找到,还暗示饮用该软饮料的人会感到更快乐。
通过培训后测试显示,学生在识别预设方面有显著提升,并增强了对包含字里行间内容的信息进行元语言反思的能力。此类改善在接受语言导向学习的人群中较为常见。这些结果告诉我们:隐含语言检测可通过结构化且基础扎实的培训教授;不同类型的隐含意义可能需要不同的练习类型;教授如何检测隐含语言或能长期提升学生的文本理解能力,并避免其沦为语言扭曲使用的受害者。这一实验利用了本文讨论的处理机制。
遗憾的是,人类语言处理的神经认知证据在教育实验领域鲜有应用;无论是外语教学还是特定沟通现象(包括预设与蕴含)的教学,均未遵循认知导向的路径。换言之,现代教育技术未能反映大脑解码语言并将此类数据固化于记忆的方式。忽视构成人类沟通理解基础的特定认知决定因素,似乎会导致记忆过程变慢且普遍效果较差,令师生双方的努力均受挫。
我将这些理念作为新兴研究项目“R.A.I.S.E.(提升对隐性语言策略在环境话语中应用的意识)”的核心。尽管在探索阶段尚不足以预见规划更结构化学习路径所涉及的所有变量,但我希望有朝一日能收集足够数据,开发出可结构化以满足不同学习需求的教学大纲。最重要的是,我希望针对各类认知信息处理策略,精准校准学习目标,以提升学生实现学习目标的机会。
了解语言与大脑之间关系特征的现象,为我们打开了一扇窗,让我们得以窥见人类相互交流的复杂方式。这一知识有助于被应用于语言教学与沟通实践。
意识极难定义。到 19 世纪 50 年代,苏格兰哲学家已为该术语列出超过 15 种不同含义。时至今日,科学家与哲学家仍未就「何为意识」达成共识。(《意识:通往还原论之路》,2025 年 3–4 月)
1974 年,美国哲学家托马斯·内格尔(Thomas Nagel)在其影响深远的文章《蝙蝠的感受》(What Is It Like to Be a Bat?)中提出一种思路。他认为,一种生物若具备主观体验——即「对其存在有某种感受」——便是有意识的。内格尔的「某种感受」定义意在凸显意识实证研究的局限。他指出,即使研究者完全掌握蝙蝠神经生理学,仍无法理解「身为蝙蝠」的感受,因此也无法充分理解蝙蝠的意识。其他研究者则提出更客观的意识定义,如整合神经信号所能编码信息的能力,或将此类信息广泛用于指导行动的能力。但所有这些定义仍存在一定争议。
另一场同样重要的争论围绕「何种动物或系统具有意识」。即使未能就严格定义达成一致,但若能就「何者被视为有意识」形成更广泛共识,或许有助于研究者应对诸多社会议题——从实验室与农场动物的伦理待遇,到支持脑外伤非语言患者,再到人类与 AI 关系的快速变化。从进化角度看,确定何种生物体具有意识,亦有助于研究者理解生命树上哪些分支拥有心智、心智何时演化,以及为何演化。
回到 19 世纪,普吕格尔(Pflüger)率先开拓实验方法,用于测试哪些生理功能与意识相关。在其时代,许多科学家已通过活体解剖(即对活体动物进行手术)来定位控制特定身体功能的脑区或神经系统部位。这些「切除」(外科移除)研究通过破坏或断开特定神经结构,观察相关功能是否随之消失。例如,小脑被破坏的青蛙失去跳跃能力;但只有当延髓被破坏或断开时,它才会在被置于异常体位(如仰卧)时丧失恢复正常姿势的能力。
然而,将这些方法应用于意识研究却更为困难。某些脑结构被破坏后,研究者能直接观察青蛙被棋子戳时是否仍会跳跃,却无法窥探其内心以判断其是否有意识。于是,研究者常借助可间接表明意识存在的可观察行为,如自发运动或有目的行为。部分研究者还寻找解剖学线索,如完整的大脑半球。
不可避免的是,每位研究者都偏好符合其自身理论与哲学观的意识标记。普吕格尔可被视为一名「活力论者」,即怀疑纯粹的物理机制是否足以解释所有动物行为。在他看来,适当的机制无论目标是否实现,在相同输入下应产生相同输出。但他所谓「由思想激发的运动」在他看来则根本不同。
为理解此观点,试想一名女子朝苹果树走去,同时她的机械表正计时。若她上紧发条而齿轮卡住,发条仍会对齿轮系施压,尽管计时功能丧失。相同输入,相同输出,无论手表是否发挥作用。但若女子遇到障碍,她会选择另一条路径。相同输入——她仍看到树——但输出不同——她改变路径。
因此,活力论者如普吕格尔主张,并非所有行为都是机械性的。有目的行为尤为如此,在他看来并不遵循「相同输入、相同输出」的机器法则。此类行为唯有借助意识方能实现,普吕格尔坚持。因此,他出于活力论立场,将有目的行为视为意识的测量标准。
普吕格尔的盟友们补充了其他行为标记,同样契合此哲学视角,如自发性(无刺激即可发起行动的能力)与学习(可根据过去经验调整当前行为的能力)。例如,英国哲学家与生理学家乔治·亨利·刘易斯(George Henry Lewes)将学习视为意识标记,其论证方式是想象一条纯机械的狗在街上与一名慷慨的乞丐互动。他断言,这样的狗「不可能某天对乞丐吠叫,次日又因其曾施舍食物而摇尾巴」。相反,有意识的狗能从过去的善意中学习。相同输入,不同输出。
刘易斯还发展出一种相关形而上学观点,认为生物与心理现象(包括完整意识)均「涌现」于愈发复杂的物质组织之上,如神经系统(即便无大脑)。他与普吕格尔均未否认生命系统由普通物理物质构成。
在争论陷入僵局之际,一位古怪的美国人加入了战局。威廉·詹姆斯(William James),如今被广泛认可为经验心理学的奠基人之一,
在其1879年撰写的文章中,他写道,对于被切除大脑半球的青蛙(他可能使用了当时常见的切除手术工具,如手术刀或长矛)的对立解释,“可能会永远相互吞噬”。詹姆斯的解决方案是彻底摒弃标记策略。他并非通过寻找标记来测试哪些生物具有意识,再通过寻找哪些生物具有意识来验证标记,而是识别出特定的功能丧失现象:
每当他将手严重倾斜向下时,青蛙总会沿着他的手向上爬行,却绝不跳跃。当詹姆斯在青蛙腋下的特定部位轻捏时,青蛙会精确地发出一声鸣叫。当被放入水中时,青蛙无一例外地开始游泳。若詹姆斯用棍子触碰正在游泳的青蛙的手,它会立即停止动作。
在切除研究中,詹姆斯随后询问这些丧失能力是否可被解释为缺乏意识。
重要的是,他的答案并不依赖标记。詹姆斯反而通过诉诸意识所做之事——即意识在生物整体生理中所扮演的功能角色——的进化与内省考量来支持其解释。他的洞见是:若缺乏关于功能的独立理论,从单纯标记的存在推断意识犹如猫试图拽着自己脖颈上的皮毛把自己拽起来。
最初,詹姆斯通过自己对青蛙的实验走向这一研究方法。在他看来,即使去大脑青蛙能够追求目标,其行为仍保有可预测的机械特性,如拉动跳跃木偶玩具的绳子。
与此相关,詹姆斯指出,缺少大脑半球的生物若无外部刺激则几乎无法行动。他写道:“将无脑鸽子留在一堆谷物上,它也会饿死。”弗吕格尔的去头青蛙或许能表现出目的性行为,但仅是对酸灼痛的反应。若被单独留下,它们只会静静坐着。
詹姆斯还察觉到另一缺陷:这些研究中的去大脑生物似乎无法评估潜在的伤害或利益。他引用

詹姆斯受德国生理学家弗里德里希·戈尔茨影响,后者证明缺少大脑半球的青蛙能反复调整平衡以保持在一块可旋转至极端角度的木板上。
德国生理学家马克斯·施拉德尔对去大脑鸽子的观察同样引起詹姆斯的注意。鸽子与青蛙相似,即使缺少大脑半球仍能维持基本身体功能。詹姆斯翻译并摘录施拉德尔的文字,后者指出,去大脑鸽子会在围栏内移动,却无法区分无生命物体与其他鸽子,甚至无法区分可能存在的猫、狗或猛禽。
整体而言,这些去大脑生物仍以机械般的规律性行动,表现出无法发起行动的能力,且似乎无法辨别相对价值。一言以蔽之,它们缺乏詹姆斯所谓的“远见”。
但詹姆斯并未直接断言远见是意识的标记。他也未诉诸关于心灵与身体关系的形而上学理论来支持此类标记。相反,他发展出一个关于进化功能的假说:对于神经解剖结构较简单的生物,或许将对刺激变化的小范围反应“准确无误且确定”视为优势。相比之下,更复杂的神经解剖结构生物则发展出移动能力,以便在营养物与威胁分布不均的环境中导航。若这些物种对每一气味、痒感、声音、颜色变化或视野中的位置变化都机械反应,它们极易在微小暗示下草率行动。
詹姆斯的假说是:意识通过赋予更复杂神经系统生物评估物体与情境的能力,从而调节其行为。他举例说明:在徒步径上看到响尾蛇时,你既可尖叫逃跑,亦可停步权衡若继续前行被咬伤的风险与绕行增加疲劳的代价。这一过程即是对问题情境可能反应的评估。詹姆斯写道,关键在于此评估需“再现我过去感受或目睹过的”内容,如“腿部突然疼痛、恐惧状态、肢体肿胀、寒颤、谵妄、意识丧失等,以及希望破灭”。詹姆斯将此类再现的内容称为“缺场对象”,因它们在生物评估最佳反应方式时并未作为知觉存在。他的观点是:意识通过赋予娱乐与评估此类缺场对象(包括尚未实现的行动方案)的能力,帮助调节行为。
为进一步支持其假说,詹姆斯诉诸我们自身的内省。他声称,每当发现意识存在时,便能发现评估持续运作。意识不断有选择性地关注某些事物而忽略其他,将对象区分为更有害或更无害、更美或更丑。完全冷静的知觉极难实现。手表的滴答声或许节奏均匀,但詹姆斯指出我们听到的却是“滴答——托克,滴答——托克,滴答——托克”。
无论人们如何看待詹姆斯的理论,其绕开测量问题的路径至关重要。他看到了仅通过在有意识生物中识别标记行为,再循环式地通过标记识别有意识生物的徒劳。相反,他构建了一个关于
他写道,去大脑鸽子“在面对一只普通鸽子时,会像面对一块石头那样避开。它可能试图爬过两者。”
施拉德(Schrader)将去大脑鸽子的行为描述为彻底的“非个人化”。他指出,性吸引力消失了,友谊或敌意的任何迹象也不复存在。“在最拥挤的人群中,它也像隐士般生活。”他写道。施拉德的鸽子几乎是价值盲:它们表现出对评价其他生物或评估不同行为路径的能力明显下降。
因此,尽管去大脑生物在受到刺激时仍能表现出有目的的行为,正如普夫吕格(Pflüger)所展示的那样,
詹姆斯于1910年去世,人们几乎可以说他将意识科学也带进了坟墓。三年后,美国心理学家约翰·B·华生发表了一份宣言,主张心理学的研究对象应为行为,并在此后几十年里,该领域将意识视为科学上可疑的存在。通过仅研究可公开观察的现象——即对刺激的反应而非私人意识现象——行为主义心理学得以自诩为“自然科学中纯粹客观的实验分支”,正如华生所言。直到20世纪末,意识才再次成为严肃的科学研究对象。
如今,意识科学研究再度蓬勃发展,但它却与自身的历史渐行渐远。推动该领域发展的神经科学家、哲学家、心理学家和生物学家通常不会在意识研究中引用19世纪的科学成果,这可以理解。但若不对这段历史进行反思,他们是否注定要重蹈覆辙?
随着意识科学的回归,我们也再次见证了“标记策略”的回归。实际上,它正再度主导该领域,尤其是在动物研究中。例如,一项2021年具有里程碑意义的综述论文利用标记策略证明某些软体动物和甲壳类动物具有感知能力,即在最低限度上意识到自身感受,如疼痛、口渴或兴奋。由英国政府资助的该综述使螃蟹、章鱼和龙虾等生物在立法层面被正式认定为有感知能力的生命体。
其中一种意识标记——做出动机权衡的能力——在2009年北爱尔兰贝尔法斯特女王大学的一项研究中得到展示。研究人员对处于优选与非优选壳体中的寄居蟹施加逐渐增强的电击。他们发现,处于优选壳体中的寄居蟹在更高的电击强度下才会逃离,这表明它们在规避有害刺激与保留优质壳体之间进行了权衡。由于对疼痛的反射性反应应基于固定的生理阈值激活,研究人员认为其结果表明寄居蟹具备意识。
Reiss, D., 等人。PNAS 98:5937;Plotnik, J. M., 等人。PNAS 103:17053
如今,一些意识研究者接受将能够识别自身倒影视为意识的标记。2001年,纽约哥伦比亚大学与佐治亚州埃默里大学的研究人员报告称,两只海豚能利用镜子探查涂抹在身体不可见部位(如眼睛上方)的墨水。五年后,这些机构的研究人员在一头亚洲象身上报告了同样的能力,该大象在镜中看到自己后用鼻子触摸了被标记的部位。
研究人员在黑猩猩额头上点了一块红色染料斑点。当黑猩猩看到镜中的自己时,会反复触摸额头对应的部位。研究人员此后在亚洲象、宽吻海豚甚至清洁鱼身上也记录到了类似行为(清洁鱼能利用镜子检查身体上的斑点,并通过触觉确认其真实性)。这些观察结果帮助支持了这些动物具有感知能力的结论。
疼痛体验不仅仅是疼痛反射,还涉及疼痛移植。类似的动机权衡能力已在大鼠、鬣蜥、熊蜂、捕食性蜗牛、多种鱼类及其他物种中被报道。
螃蟹可能具备感知能力,却无需有意识地反思自身感受;但另一系实验工作试图开发全面的“自我意识”标记。许多动物(包括人类婴儿)面对镜子时的反应,仿佛镜像属于另一生物。1970年,路易斯安那州杜兰大学的一项经典研究表明,黑猩猩能被训练认出镜中自我。在让数只黑猩猩习惯镜子后,研究者秘密地在它们额头涂抹颜料标记,观察其是否尝试用镜子刮掉标记。狗、狼与 garter snakes(一种水蛇)已被证明能通过嗅觉版本的测试。尽管这些发现的含义仍存争议,但部分研究者如今已将镜像自我识别视为“自我意识”的标记。
游戏行为也被提出作为另一标记。2022年,伦敦玛丽女王大学的研究者向熊蜂提供小木球,后者似乎出于无实用目的玩耍(见《意识扩展》,2019年11–12月)。研究者排除了多种对滚球行为的功能性解释。例如,该行为并非由睡眠-觉醒周期、简单情绪与偏好,或目的性行为驱动。这些解释与更广泛的哲学观念交织:意识根植于具身行动与生物调节,而非高阶认知能力(后者与大脑半球相关)。
另一派理论家则认为,意识仅随对自身感受、思考或行为的高阶觉知而产生。寄居蟹可能通过平衡“避痛”与“寻找优质贝壳”的需求来行动,但这并不必然意味着它们觉知到自身偏好。高阶理论反映了一种对立的哲学立场:意识根植于心智的认知能力,尤指其表征自身状态的能力。因此,该派理论家强调截然不同的意识标记,例如在元认知任务中表现良好——受试者需报告对自身体验的信心。例如,猴子在认为自己完成认知任务表现良好时,会比信心不足时下注更多食物。
如同活力论与机械论之争早已过时,今日研究者仍在哲学议题上分歧:意识更紧密关联感官过程还是智力过程?关联具身行动还是反思认知?我们偏好的意识标记似乎总与偏好的哲学理论纠缠不清。于是,该领域时至今日仍深陷“测量难题”,正如19世纪时一般。
【作者】罗克珊·卡姆斯 【页数】304页 【出版社】Riverhead出版社 【出版年份】2026年 【定价】$30
我们往往认为遗传疾病是从父母那里均匀继承而来、写入每一个细胞的固定命运——但许多遗传疾病实际上始于仅在部分细胞中出现的突变。尽管我们每个人都拥有独特的基因组序列,但我们的身体由携带微小遗传差异的细胞组成。在体内,不同基因型的细胞群体会扩张或在竞争中胜出,这如同在更小尺度上重演自然选择。《超越遗传:我们不断突变的细胞与健康的新认知》一书作者Roxanne Khamsi探讨了突变与自然选择在生物体尺度上的平行机制,以及这些在我们体内发生的细胞谱系对健康产生的深远影响。
我们从父母那里继承了一套基因组序列。但当体内细胞复制时,DNA并非总能被精确复制,从而在同一个体内的细胞间产生遗传变异。正如Khamsi所言:“人体每天会替换约3,300亿个细胞——约占总数的1%——因此DNA复制错误有着无数发生的机会。”正如进化作用于种群中个体间的遗传变异,体细胞突变在我们体内细胞间产生变异,为Khamsi所谓的“内源进化”(endoevolution)——即体内细胞的进化——奠定基础。细胞突变频率的变化由细胞增殖和细胞死亡驱动。这一过程中产生的突变为自然选择等进化力量提供了遗传多样性的基础。
Khamsi通过一系列简洁的故事,将读者引入复杂的遗传学与进化概念。这些故事包括历史与现代科学家在治疗领域取得重大突破的案例,如开发出一种针对HIV的新型“谱系疫苗”,该疫苗由一系列携带特定病毒片段的注射组成,旨在刺激免疫细胞的进化,从而保护我们免受HIV侵害。作者还跟踪了患者的经历、诊断与治疗,从一位因缺陷细胞谱系扩张而罹患罕见血液疾病的孕妇的悲惨故事,到两名患有严重遗传性自身免疫疾病的男孩在未经治疗的情况下因体内出现有益突变而逐年好转的希望故事。在此过程中,Khamsi巧妙地将遗传学与进化论的教训——关于遗传、突变与自然选择——编织在一起,每个教训都建立在前一个之上。
通过从进化视角探讨癌症,Khamsi让读者逐步接受体内细胞进化这一概念。突变的癌细胞在体内出现、演化并适应治疗,其高突变率与自然选择机制,与杂草对除草剂产生抗性如出一辙。这一概念在读者面前展开之际,另一种认知也随之浮现:我们体内的所有细胞或许并非如20世纪初以来所描述的那般和谐统一。彼时,一场强劲的生物学运动“试图将每个生物体视为一个和谐的整体系统”。这种观点因格雷戈尔·孟德尔发现遗传单位(基因)而愈发根深蒂固,因为“它强调了体内所有体细胞携带相同遗传物质”这一事实。时至今日,当我们听到“遗传疾病”时,大多数人仍会联想到由可遗传突变引发的疾病——这些突变存在于我们体内的每一个细胞中,因为父母在我们还是单个细胞时(随后分裂形成整个身体)就将它们传递给了我们。然而,作者通过解释我们每个人都是突变细胞的镶嵌体这一事实,颠覆了我们对个人基因组序列和遗传疾病的固有认知,并为体内竞争奠定基础:细胞为有限的空间、组织与器官展开角逐。
尽管这些概念可追溯至19世纪,但直到1990年代,当果蝇遗传学家发现细胞竞争的具体案例——突变细胞在健康细胞附近可触发蛋白质产生,从而消灭突变细胞谱系——才引起关注。单细胞基因组测序技术的发展,让科学家得以进一步认识不同基因型细胞间的相互作用。某些突变细胞的扩张可表现为疾病,包括白血病、心脏病,甚至是遗传病的“表型模拟”——即非遗传性疾病模仿遗传病症状,如血友病与唐氏综合征。
Khamsi强调,历史上“遗传镶嵌体个体常被描绘为医学奇观。但实际上,无论多么微小与细微,我们体内都存在一定程度的细胞遗传差异,且这些差异会在漫长岁月中不断累积”。既然我们都是镶嵌体,且许多人能相对健康地生活,本书的核心观点之一便是:并非所有突变都对健康有害(甚至那些出现在与疾病相关基因中的突变);事实上,许多突变完全不会对健康造成影响。某些细胞中体细胞突变的涌入甚至对健康至关重要。作者指出,新突变的产生对免疫系统功能至关重要,在某些情况下,甚至能拯救我们于从父母遗传的遗传疾病。我们的免疫系统依赖遗传变异来产生多样化的抗体,从而有机会抵御快速进化的病毒与细菌威胁。正如Khamsi所写:“这是一个由突变驱动的美妙系统。没有它,我们无法生存。”新突变在其他方面也能造福健康,甚至具备“自发纠正”能力——即疾病突变可恢复正常功能,并在罕见情况下在足够多的细胞中积累,从而扭转疾病进程。
当然,我们一生中产生的一些突变确实会遗传给下一代。这些可遗传突变是个体间差异的源泉,也是我们更熟悉的进化尺度的基础。那么,新的可遗传突变究竟有多频繁出现?新突变的产生速率取决于个体,甚至可被突变本身影响。文中提到的某些男性——“超突变者”——携带缺陷DNA修复基因,导致精子中突变过量。有趣的是,Khamsi援引当前研究称,某些体细胞组织中新突变的产生速率显著高于产生精子与卵子的细胞。遗传多样性正在我们体内迅速生成,对细胞生存与繁殖能力——进而对我们的健康——产生广泛影响。健康科学家正越来越多地尝试利用突变造福人类,甚至试图将致病突变逆转为健康功能。
尽管本书着重强调了我们不断变异且镶嵌式基因组所带来的许多毁灭性健康后果,但请勿对下一次可能在体内出现的突变感到持续恐惧。人类已进化出修复DNA错误的关键能力,且大多数突变并非有害——在形成后的几分钟内,大部分突变即被修复。此外,贯穿全书,作者详述研究人员如何利用对突变与内源性进化的认知造福健康,例如协助现代医疗治疗的开发,包括癌症治疗、疫苗设计及器官移植。生物学家甚至已开始讨论如何最大化DNA修复机制的效率,以减少突变并延长人类寿命。
基于此种可能性,Khamsi警告称:“在经历了数十亿年的地球生命后,人类是首个试图塑造自身遗传命运的生物。……然而,我们或许需要思考,是否总明智地通过基因编辑或药物干预来阻断或抹除突变。”《超越遗传》一书中蕴含的故事与教训,为读者呈现了一个全新视角:我们的个人基因密码并非固定不变,而是一个由突变驱动的动态系统——这一系统持续变化,对健康既有害亦有益。
萨拉·马里恩 Sarah Marion于杜克大学获得进化遗传学博士学位。她目前是里德学院的博士后研究员,研究生殖系突变率的进化。
克莱尔·鲍尔
《真实的颜色:从天青到锌粉红的奇异而壮观的色彩定义之旅》 科里·斯坦普尔 著。320页。Knopf出版社,2026年。$32。
科里·斯坦普尔的《真实的颜色:从天青到锌粉红的奇异而壮观的色彩定义之旅》一书以极为详尽的视角,展现了《韦伯斯特第三版新国际词典》(1961年版)的编纂者们如何面对一项不可能完成的任务:如何定义描述色彩的英语词汇。斯坦普尔将这项工作称为“探索”,并言之有理。这些词典条目的编纂是一个重要的里程碑,标志着人们在超过一个世纪的时间里,为寻找准确、简洁且有原则的语言使用方式而进行的探索。
词典编纂者面临着一项艰巨而严苛的任务。他们的工作是用语言撰写简洁但全面的词汇定义及其多重子义项。词典的基础理念是:有可能通过其他词汇来阐述某个词的含义,从而划定一套所有人都认可的离散意义。然而,人们对词汇的理解并不一致,使用方式也各不相同——因此,词典必须同时描述用法(人们将这种颜色称为“青绿色”)和规范意义(这种颜色应为“灰绿色”,而非“青绿色”)。
《真实的颜色》一书主要包含三条主线:斯坦普尔对词典编纂者如何撰写定义的解释与探讨;韦伯斯特第三版新国际词典的编纂历史;以及该词典编纂过程中做出重要贡献的以撒·汉恩·戈德洛夫(梅里亚姆-韦伯斯特聘请的一位科学家,协助词典修订)和埃玛·玛格丽特·戈德洛夫(最初作为速记员雇佣,实为最终印刷版定义的主要推动者)。
色彩常通过与其他事物的关联来定义——例如,某种典型具有特定色调的事物,如“青绿色”或“青金石蓝”。一个有趣的例子是,在一些澳大利亚原住民语言中,“灰烬”这一词汇既可指“黑色”,也可指“白色”:若指向木炭,则为黑色;若指向冷灰,则为白色。斯坦普尔在书中提及这些问题如何导致《韦伯斯特》的色彩定义在出版前多年反复变动,例如尝试通过染料配方、数学或物理学等更精确但不如“金黄菊”那般信息丰富的科学方法来定义色彩。基于光谱分析的“黄金标准”定义无法捕捉色彩词汇的真正含义,因为色彩体验是主观的,而我们用于描述色彩的词汇
基万·G·斯塔森
《墨西哥在太空:从"宇宙种族"到太空竞赛》 安妮·W·约翰逊 著 296页 亚利桑那大学出版社 2026年 $35
“太空属于每一个人。”这句口号在全球太空产业中无处不在——涂绘在航空航天展的展位上,贯穿于SpaceX、Blue Origin等公司及其政府对应机构的宣传话语中,甚至缝制在国际宇航团体的任务徽章上。我在洛杉矶长大,身为墨西哥裔美国人,几乎看不到夜空——城市的灯光做到了这一点——却始终有一种无法完全解释的感觉:宇宙并非异域。安妮·W·约翰逊的《墨西哥在太空:从"宇宙种族"到太空竞赛》帮助我理解这种感觉可能源自何处。
约翰逊在书中以严肃的态度对待“太空属于每一个人”这一口号——并随即系统性地拆解它。她的论点并非太空不属于任何人,而是“每一个人”这一语法本身暗示着一个单一的外太空,可被单一的人类所占有。她通过八年在墨西哥各地的民族志田野调查证明,这一暗示既具有政治后果,又在经验上是错误的。
约翰逊的核心概念转向借鉴了法国生物哲学家乔治·康吉莱姆的“环境”(milieu)概念——她将其译为某种构成性环境:既非背景亦非容器,而是一种主动的媒介,通过它,有机体(或在她的用法中,人、机构和思想)同时塑造并被塑造。她将这一理念改造为“太空环境”(space milieux):复数的、历史定位的、社会嵌入的语境,通过这些语境,墨西哥的不同群体与外太空互动,不是作为单一的无限边疆,而是作为重叠的、有时矛盾的场所与实践。
全书六章追溯这些环境,横跨极为多样的场景。我们从前哥伦布时期的宇宙观开始,探讨阿兹特克历石(太阳石),约翰逊并未将其视为浪漫的起源故事,而是作为墨西哥各族人民与宇宙长期互动的证据——这一互动早于并复杂化了欧洲“发现”的叙事。随后我们穿越后革命时期民族国家宇宙认同的构建(“宇宙种族”)——20世纪初墨西哥哲学家、教育部长何塞·瓦斯孔塞洛斯著名且政治上充满争议的愿景:一个精神上优越的混血种族命定超越欧洲与美国——再进入墨西哥鲜为人知的冷战卫星计划及其时断时续的当代继任者——墨西哥航天局(AEM)。在此过程中,我们遇见在下加利福尼亚州对抗光污染的暗夜天空活动家;由艺术家与科学家组成的集体想象墨西哥火星城市;以及在奇瓦瓦州发射业余火箭的门诺派农民,他们的火箭发动机使用的燃料,与当地农民在干旱中灌溉庄稼时抽水泵所用的燃料相同。
书中最后一幕——约翰逊在沙漠中的火箭比赛现场,吃着玉米饼和玉米,观察评委依据ENMICE(墨西哥高功率火箭比赛)安全协议评估学生项目,而一位NASA官员则因加沙局势紧张而忧心忡忡——正是本书方法与乐趣的典型体现。民族志细节密集而不呆滞,并服务于分析:这些火箭并非美国太空技术的拙劣模仿,而是墨西哥特定太空环境的表达,其中交织着当地对水资源、民族认同的焦虑,以及墨西哥是否属于太空国家之列——正如一位受访者干巴巴地指出的那样,墨西哥或许仍在等待被邀请入席。
本书最出人意料的线索之一并非火箭,而是海藻。约翰逊的田野调查地点包括金塔纳罗奥州和瓦哈卡州的沿海社区,这些社区正与Mar de Sal合作,利用卫星影像追踪并管理因气候变化和营养物质流失而大量涌上海滩的马尾藻(一种大型藻类)。与外太空的关联看似薄弱,但约翰逊将其作为最具成效的分析手段之一:展示那些源自最遥远、技术最精尖的外太空计划的卫星数据,如何与最直接、最刺鼻且最具经济破坏性的陆地环境问题纠缠在一起。
这种分析上的惊喜正是优秀民族志作品的特点。马尾藻并非本书的终点,而是其开端。约翰逊的论点是挑衅性的,她谨慎地避免将其简化。她的许多受访者都深感矛盾:他们对墨西哥在人类未来地外生活的更广泛对话中占据一席之地感到兴奋,却又为这一存在的前提感到不安。
本书并未试图回答“谁属于外太空?”这一封面简介所提出的问题——或者说,至少不是以最恰当的方式。约翰逊的书表明,这个问题假设了一个单一的外太空,等待着“合适”的人去占据。而她发现的却是多重的外太空——正如天空下的社区、身后的历史和触手可及的技术一样多样。下加利福尼亚天文学家、奇瓦瓦门诺派火箭手和金塔纳罗奥马尾藻制图师的“太空”并非同一事物的竞争性版本;它们是真正不同的对象,由不同的实践构成。
如果近期商业和政府太空计划的激增——正如它们所暗示的那样——预示着人类即将投入大量资金、工程人才和政治资本用于拓展地球之外的项目,那么本书提出的问题就不仅仅是学术性的。谁有权定义“太空”的含义?谁的宇宙观被视为知识,谁的又被视为神话?当我们迈向太空时,我们携带着怎样的社区和怎样的未来?我常想到如今在洛杉矶、墨西哥城和奇瓦瓦长大的孩子们——他们缺乏夜空,却不缺宇宙。约翰逊的《墨西哥在太空》并未回答所有这些问题,但她以一种方式提出它们,令任何关心太空探索未来的人都不得不驻足思考。
基万·G·斯塔森是范德堡大学的斯蒂文森物理学与天文学讲座教授。他的研究兴趣包括恒星天体物理学和考古天文学,也是《恒星的生与死》系列课程的作者。
殖民火星重演了同样的剥夺动态...
对于任何事物来说,这都是一个真实的问题;它对旅游业经营者和渔业社区造成真实的经济后果。但约翰逊认为,这也是另一个环境,将生物与轨道、人类与非人类联系在一起的方式,而标准的“太空属于所有人”叙事——专注于个人英雄进入宇宙——完全忽略了这一点。
本书理论雄心最为充沛的一章《跨居火星》也是其政治色彩最为浓厚的一章。约翰逊追随集体 Marsarchive.org(一个由墨西哥艺术家、科学家和作家组成的团体),他们多年来一直在想象墨西哥在火星上的城市可能是什么样子。这并非对埃隆·马斯克“殖民”计划的背书,而是一种询问:将对地球生活的欲望与恐惧投射到地外画布上,意味着什么。该集体的虚构城市 Martenochtitlan,其名字既取自特诺奇提特兰(阿兹特克首都,今墨西哥城),也取自摧毁它的西班牙征服。这种暗指是刻意的:火星殖民重演了征服美洲的剥夺动态,而硅谷在其中扮演了科尔特斯的角色。在 Marsarchive.org 的叙述中,火星殖民的技术与修辞——地球化改造、“无主”土地、将原住民描绘为障碍或资源——并非中立的工程问题,而是从16世纪欧洲扩张中继承的可识别套路。该集体主张,将火星视为潜在征服地,就等于承认殖民行为必然随之发生。一个发人深省的时刻出现在:在奇瓦瓦的一场外交招待会上,一位墨西哥航天局(AEM)官员用“投资机会”的语言描述墨西哥的太空抱负,同时又在同一句话中提及阿兹特克天文天才的遗产。这种并置不会被约翰逊忽略,也不会被在场的官员本人忽略:墨西哥的现代太空雄心正以全球资本的词汇进行营销,同时从一个前哥伦布时代的过去寻求合法性——而那个过去的后裔们至今仍被排除在AEM的董事会和预算之外。
《墨西哥在太空》并非毫无困难。本书的理论框架借鉴了一系列科学研究理论家:伊莎贝尔·斯滕格斯与布鲁诺·拉图尔探讨科学事实如何被组装,唐娜·哈拉维探讨知识政治学,安娜·灿西探讨全球体系如何通过摩擦与地方差异运作,以及丽莎·梅瑟里的行星科学家人类学研究直接预示了约翰逊的观点。但这种广阔视角偶尔会拖累行文,令非社会科学领域的读者感到吃力。引言中对 milieu(环境)这一概念的冗长沉思是必要的,但颇具挑战性,而坚持阅读下去的读者将获得回报,因为后续章节会以更精炼的方式运用这一概念。
科学研究荣誉学会 Sigma Xi 的新闻通讯
Sigma Xi 科学研究荣誉学会新闻简报
学生研究展示获奖者
4月26日,Sigma Xi颁发了其2026年学生研究展示奖。此次虚拟竞赛共有来自13个学科类别的311名学生参与。奖项分为高中、本科和研究生组别,另设总冠军、观众选择奖及跨学科类别奖。
2026年总冠军为欧文高中的Lauren Choi和爱迪生高中的Vijeta Garg。由参赛者投票选出的观众选择奖获得者为Heritage Xperiential Learning School的Aryaman Chandra。
学生研究展示是一项年度虚拟竞赛,旨在培养学生的科学传播技能,使其能够向技术和非技术受众传达其研究的价值。在为期一个月的评估期间,学生通过搭建网站、制作视频和幻灯片等形式向评委和公众展示其研究。评委的评分基于学生如何传达对项目的热情、解释研究的重要性、运用文字、图表和图示,以及回答问题的能力。
续见第255页
我们分享的奇迹,我们肩负的责任
在开始担任会长一职之际,我常常思考一个简单的问题:是什么让Sigma Xi如此与众不同?
今年对我们而言是一个有意义的反思时刻——Sigma Xi迎来成立140周年,而美国则迎来建国250周年。这些里程碑邀请我们思考科学在塑造我们国家中所扮演的角色,以及科学与国家如何继续相互演进。科学一直是美国进步的核心,从早期探索自然世界的努力,到如今复杂、协作、全球化的科学事业。科学在国家发展中发挥了根本性作用,通过拓展机遇、改善生活,并加深我们对自身及在宇宙中位置的理解。
Sigma Xi也反映了同样的演进。学会因其广度而卓越,汇聚职业科学家、刚刚起步的学生,以及终身致力于知识推进的卓越学者。Sigma Xi跨越数千英里,跨越世代与学科。这种包容性并非偶然;它是基础性的。
但倘若我们来自如此不同的地方,是什么将我们凝聚在一起?
至少在某种程度上,我们共享对科学本身的欣赏。Sigma Xi的成员因发现之美与未知事物的展现而团结。科学在其最佳状态下,由好奇与奇迹所驱动。
但学会更深层次地连接着我们。科学洞见向我们展示,我们并非宇宙的中心,我们是浩瀚且不断演化的自然世界的一部分,并拥有共同的起源。这些理念或许令人谦卑,却也提醒我们共享人性。科学当然也是实用的。它通过创新与知识拓展,帮助我们应对日常挑战并解决紧迫的全球问题,以构建更美好的未来。
机遇伴随着责任。与其纠结于对科学的信任问题,我认为我们应关注科学研究的可信度——即坚守最高标准的严谨性、诚实与透明。科学在许多方面是一种神圣的使命,根植于对真理的承诺。
Sigma Xi在培育定义科学的奇迹与责任方面发挥着至关重要的作用。当我们铭记过去、展望未来之际,我期待与你们共同探索如何在未来岁月继续推进科学与社会。
B. Allison 2026年7月–8月 第253期
会议与活动
会议与活动
两位 Sigma Xi 成员被选中参加 2026 年林道诺贝尔奖获得者会议
两位 Sigma Xi 成员被选中参加 2026 年林道诺贝尔奖获得者会议
Sigma Xi 自豪地宣布,其成员 Jared Boyce 和 Teng Tang 已获选出席今年的 Lindau Nobel Laureate Meeting,这是一场将全球诺贝尔奖得主与杰出早期职业科学家汇聚一堂的国际论坛。
享有盛誉的 Lindau Nobel Laureate Meetings 为下一代研究者提供独特机遇,通过跨学科与跨国界的讲座、讨论及合作交流,直接与诺贝尔奖得主互动。2026 年会议将迎来该活动的第 75 周年,并强调跨学科对话,鼓励参与者通过多元科学视角探索解决全球复杂挑战的方案。
Jared Boyce 是一位新兴的医师-科学家,其研究涉及神经科学、医学与社会影响的交叉领域。目前,Boyce 作为医学科学家培训生就职于威斯康星大学医学与公共卫生学院。此前,他曾在达特茅斯学院获得神经科学学士学位,并在布朗大学取得医学科学硕士学位。其研究经历涵盖顶尖机构,包括哥伦比亚大学及西奈山伊坎医学院,曾参与大脑科学、行为学与神经生物学领域的研究。其学术兴趣聚焦于早期经历——尤其是创伤——如何塑造大脑发育与长期健康结果,目标是推进更公平的护理方法,惠及弱势群体。
Teng Tang 是纽约联合学院的研究人员及教员,其工作涉及机械工程与跨学科科学研究的交叉领域。此前,他曾就读于亚利桑那州立大学,于 2025 年获得机械工程博士学位。其研究体现了现代科学日益协作的本质,汲取工程学及相关领域的原理以解决复杂问题。在联合学院,Tang 致力于营造强调跨学科探究与动手式学生参与的研究环境,并致力于推进协作研究,指导学生采用工程与科学的跨学科方法。
作为 Lindau Nobel Laureate Meetings 的学术合作伙伴,Sigma Xi 每年邀请学生及早期职业科学家申请,以被提名为未来会议的“青年科学家”群体。申请者需为 Sigma Xi 的活跃成员,在班级中排名前 5%,并满足额外的研究生标准。明年会议的申请入口将于 2026 年夏季在 sigmaxi.org 开放。如有疑问,可发送至 executiveoffice@sigmaxi.org。
东北地区研究会议吸引了 170 名与会者...
2026年Sigma Xi东北地区研究会议于4月18日在西康涅狄格州立大学(WCSU)举办,来自东北地区12个分会的170名注册与会者齐聚一堂,展示了58份学生研究海报,以充满活力的方式庆祝科学探索与合作。
由WCSU Sigma Xi分会主办的此次会议,展现了跨学科本科生和研究生研究的深度与多样性。与会者参与了深入讨论、同行评议和知识交流——这些是科学事业的核心特征。主题演讲嘉宾强调了跨学科合作与沟通的重要性,强调研究通过多元视角与共同努力蓬勃发展。学生海报展示者因其杰出贡献而受到表彰,奖项由指导教师颁发。
此次活动的成功得益于志愿评审、学生组织者以及WCSU基金会、WCSU辅助与活动服务部及WCSU校长约翰·B·克拉克的机构支持。Sigma Xi总部也提供了关键支持,助力区域聚会顺利举办。
东北地区研究会议是春季系列区域会议中的首场活动,该系列会议将由轮换分会每年举办,并将延续今年的势头。与会者可通过Sigma Xi即将推出的机会继续参与,包括该学会每年11月以虚拟形式举办的国际研究卓越论坛(IFoRE)。
254 * Sigma Xi 今日*
2026 年学生研究展示获奖者
接上第253页
总冠军及高中组第一名
劳伦·崔(Lauren Choi),欧文高中 AI健康支持:低成本数字听诊器
观众选择奖
Aryaman Chandra,Heritage体验式学习学校 一个形状能否听到它自己?
大学组第一名
Desiree Thomas,加州州立大学萨克拉门托分校 野生哥斯达黎加丽鱼的体型择偶
研究生组
技术类
Nina Grant,罗格斯大学 在变暖的世界中保持咖啡和巧克力的供应
研究生组第二名
Tsion Eshetu,维克森林大学 基于技能的学习眼动避让
跨学科奖项
计算进展
Zain Shariff,柯蒂斯高中 AICathDesigner RV-EMB
生物与生物技术
Vijeta Garg,爱迪生高中 用于改善乳腺癌幸存者生活的软体致动器
设计、建造与制造
阿迪蒂亚·戈尔(Aditya Goel),什里拉姆学校 基于物联网的工业能耗监测与碳可视化
环境挑战
Arihant Jaggi,库什曼高中 数学能预测迈阿密的未来吗?
人类健康
Lily Yuan,阿马多高中 肺癌药物耐药性:miR-7代谢重编程
人文科学与政策
阿南特·阿加瓦尔(Anant Agarwal),旺萨特谷学校 印度宏观经济变量的部门响应
科学、教育与个性化学习工具
维杜谢·谢卡尔(Vidushee Shekhar),马里亚·阿迪蒂国际学校 儿童语音中的音韵错误检测
探索宇宙
Priyanka Supraja Balaji,加州理工学院 适用于火星的安全LiDAR感知框架
2026年7月-8月 第255页
GIAR 的 Holly Gamblin
资助金额: 2024年春季5,000美元;2026年春季5,000美元

项目描述:
资助过程或项目本身如何影响您...
我目前正在攻读博士学位的第四年,研究项目名为《生物群系变迁:快速变化的景观对北极狐的影响》。我非常高兴地报告,多亏了这项资助及其他几项资助,我们成功为15个额外的无线电项圈争取到了资金。迄今为止,我的研究实验室已经为55只北极狐佩戴并监测了项圈,并计划在2026年野外考察季再部署13个无线电项圈。
您对未来申请者的建议是什么?
您现在在哪里?
从概念到发射:一位学生研究者的进展
作为查尔斯顿大学的一名本科研究员,盖尔·冈萨雷斯(Gael Gonzalez)已在为太空天文学的未来贡献力量。在Sigma Xi研究资助计划(GIAR)奖学金的支持下,冈萨雷斯与同事合作开发了一颗立方星——一种配备专用紫外(UV)相机的小型立方体微型卫星,用于研究双星系统。该多阶段任务始于2026年4月8日向国际空间站的先导部署,随后于6月在智利合作伙伴的协助下完成全面立方星发射。这是一项跨越工程学、天体物理学与实验科学的宏大项目。
任务的核心目标是更好地理解恒星如何与其周围环境(尤其是围绕它们运行的行星)相互作用。通过捕捉紫外光谱中恒星活动的测光测量,该立方星将帮助研究人员完善恒星演化模型、提升系外行星大气流失预测的准确性,并优化识别宜居带的方法。这些问题延续了太空观测的传统,从颠覆紫外与可见光天文学的哈勃太空望远镜,到近期专注系外行星的任务如凌日系外行星巡天卫星(TESS)与詹姆斯·韦伯太空望远镜(JWST)。
除项目的技术成就外,冈萨雷斯强调这段经历对其研究者身份塑造的深远影响。他说道:“这个项目揭示了多少幕后工作常被忽视,而这些正是科学得以推进的基石。”同等重要的是项目的实践性质:从仪器测试到性能分析(如模拟由卫星运动引起的测光漂移),冈萨雷斯对将新颖科学概念付诸实践所需的严谨付出有了更深刻的体会。
展望未来,冈萨雷斯希望攻读天体物理学博士学位,并最终在NASA或同等机构从事研究工作。他专注于空间仪器与观测技术,旨在继续探索恒星系统与系外行星——这些领域正迅速拓展人类对宇宙的认知。
256 * Sigma Xi 今日*
2026 年 11 月 6-7 日
2026年11月6日至7日
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July–August 2026
www.americanscientist.org
For 250 years, science and democracy have sustained each other in the United States.

~~[1]~~ 2017年1月1日,美国国家航空航天局(NASA)宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
~~[2]~~ 2017年1月1日,美国国家航空航天局(NASA)宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[3] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[4] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[5] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[6] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[7] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[8] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[9] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[10] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[11] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[12] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[13] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[14] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
[15] 2017年1月1日,美国国家航空航天局宣布将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》,并将在2018年1月1日发布《关于加强和改进航天科技创新应用的指导意见》。
AMERICAN
Volume 114 • Number 4 • July–August 2026
194 From the Editors
■ 214 Science
232 Implicating the Brain
Human-centered methods of countering online misinformation
■ 204 Commentary: Biotechnology and the Spirit of American Discovery
How a national initiative will advance innovation
TODD YOUNG AND MICHELLE ROZO
Elections in the Age of AI
Balancing minimum ballot errors and maximum voting convenience
R. MICHAEL ALVAREZ
■ 226 Science and Engineering Values: Revolutions and Revolutionaries
anyway?
253 Sigma Xi Today
The wonder we share, the responsibility we carry • Student Research Showcase winners • Sigma Xi members attend 2026 Lindau Nobel Laureate Meeting • Northeast Region Research Conference • Faces of GIAR: Holly m concept to launch
ON THE COVER
Scientific research, from vaccines to oceanography to space exploration, has flourished in the United States since its Declaration of Independence 250 years ago. However, science is information, commercial ing priorities. To oppose the such influences, democratic rules must continue to guide search and decision-making. (Ly Clare Nicholas.)
Science is an international endeavor, not be holden to any geopolitical borders. Sigma Xi is an international society and has members worldwide; the Society is celebrating its 140th anniversary this year. And although our publication has “American” in the title, we work hard to cover research across the globe. However, it would be a lost opportunity not to acknowledge this year’s 250th anniversary of the U.S. Declaration of Independence: The history of the country since its inception has influenced how the research enterprise has developed, and science policies of the United States will continue to have implications for the worldwide science ecosystem.
The American experiment was established on the ideal that a country could govern itself as a constitutional democracy, with standards rooted in equality and liberty. In this issue, we examine some of the results of that experiment so far, with a special section focused on 250 years of science and democracy. The articles in this section look at the past 250 years from a historical perspective, and we also look forward to the possible future results of the frameworks that this history has established.
In this issue’s Spotlight article (“When Inflammation Met Insurrection,” pages 198–200), Philip A. Rea looks at a case of medical misinformation and how it might have affected the outcome of the American Revolutionary War. In Science and Engineering Values (“Revolutions and Revolutionaries,” pages 226–230), Robert T. Pennock examines the country’s founders, their connections to the ideals of the Enlightenment, and how these ideals affected their composition of the Declaration of Independence and later legislation. And in Perspective (“Salt of the Earth,” pages 218–221), Laura Clerx reviews how commercial enterprises in the early days of the United States informed the development of scientific research.

Moving to more recent eras, in Science Policy (“The Case for Sea Grant,” page 208–212), Samantha Muka describes how this government program created a research network for a basic understanding of our world’s oceans, which would not have been possible through private industry alone. In Science Communication (“Competing Histories,” pages 214–217), Judith Kaplan takes a deep dive into how a museum exhibition revealed competing ideas of how to portray the history of American science. And in Technologue (“Elections in the Age of AI,” pages 222–225), R. Michael Alvarez explains how ballot challenges during the 2000 U.S. presidential election spurred research into how to quantify problems with voting systems, and how that research is evolving with new advances in technology.
In our First Person interview (“Information and Community,” pages 202–203), Ahmer Arif discusses human-centered ways to address online misinformation, and how access to good information is vital to good governance. And in an unusual step for American Scientist, we have invited a current U.S. senator, Todd Young, along with Michelle Rozo, to author a Commentary column (“Biotechnology and the Spirit of American Discovery,” pages 204–207), in which they discuss the National Security Commission on Emerging Biotechnology and proposed legislation to support a national biotechnology initiative.
Be sure to also look on our blog for highlights of past content, as well as reviews of books, all related to the theme of this special section. And check out Sigma Xi’s blog for more historical information on the Society’s 140-year legacy.
Recently, federal funding for research has taken a lot of hits, and celebrating history at this time might give us conflicting feelings. But more than ever, it’s important to acknowledge the effects that science and democracy continue to have on each other. —Fenella Saunders
VOLUME 114, NUMBER 4
Editor-in-Chief Fenella Saunders
Managing Editor Stacey Lutkoski
Senior Consulting Editor Corey S. Powell
Associate Editor Nicholas Gerbis
Book Review Editor Jaime Herndon
Senior Contributing Editor Katie L. Burke
Contributing Editors Sandra J. Ackerman, Carolyn Beans, Christa Evans, Dan Falk, Jeremy Hawkins, Flora Taylor, Sarah Webb
Editorial Associate Mia Evans
Art Director Barbara J. Aulicino
Digital Managing Editor Nwabata Nnani
American Scientist
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For member inquiries regarding American Scientist magazine: asbusiness@amsci.org
President David B. Allison
Treasurer David Baker
President-Elect Beverly Hartline
Immediate Past President Daniel I. Rubenstein
Executive Director & Publisher Jamie L. Vernon
Richard Boudreault, University of Waterloo
Paula R. Buchanan, National Center for Domestic Preparedness, Columbia Climate School
René Fuanta, East Stroudsburg University
Simson Garfinkel, A2050, Schmidt Futures
Sonya T. Smith, Howard University
Caroline VanSickle, Des Moines University
American Scientist gratefully acknowledges support for engineering content through the Leroy Record Fund.
Sigma Xi, The Scientific Research Honor Society is a society of scientists and engineers, founded in 1886 to recognize scientific achievement. A diverse organization of members and chapters, the Society fosters interaction among science, technology, and society, encourages appreciation and support of original work in science and technology, and promotes ethics and excellence in scientific and engineering research.
Printed in the USA
194 American Scientist, Volume 114

Fig. 1.2.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1
Wired for This | Jason Lodge and Philipp Lorenz-Spreen
This interview is part of episode 4 of Wired for This, American Scientist's podcast series exploring human behavior and neuroscience. The episode features Jason Lodge, professor of educational psychology at the University of Queensland in Australia (below, left), and Philipp Lorenz-Spreen of the Synergy of Systems center at TU Dresden in Germany (right), discussing online information and learning with host Celia Ford. This excerpt has been edited for length and clarity. Link to the full podcast series on the American Scientist website.
Why does some information stick, while other things seem to go in one ear and out the other?
Jason Lodge [JL]: A significant bottleneck is our ability to only pay attention to a certain number of things at a time. Decades of research have told us that things we selectively pay attention to are much more likely to be processed, because they enter into consciousness and memory. These things then impact us in a persistent way. For various reasons, the way that technology has evolved—including built-in advertising—has been about trying to capture that selective attention.
Philipp Lorenz-Spreen [PLS]: We prefer novelty and surprise. Our attention guides us to that because it's important to know new things. But there are other factors as well, especially if you think about the competition between sources of information. Also, negativity and other emotions such as outrage often guide our attention. There's negativity bias; negative headlines are more successful. There's another factor, in-group and out-group feelings, that humans are quite susceptible to. Whenever content talks about "us versus them," it tends to succeed more than other content.
How does the speed of online information affect people's processing of it?
PLS: We know there are millions, even billions of people active online, post-
ing stuff, writing content, and sharing and engaging with it. We can look at metadata, such as engagement: What gets a lot of likes? How do posts move through social networks? Who is sharing what? We can see if certain terms are getting a lot of traction, and watch trends go up and down.
We were inspired by sociologists who were talking about social acceleration, the idea that technological progress speeds up our lives and makes us more efficient, but it also pushes society to move faster. It creates a vicious cycle where we're basically trapped. We quantified "public discourse" as the popularity of hashtags, and observed that popularity increased and faded quicker over the years. Then we went for other datasets such as Google search queries, Reddit discussions, terms used in published books, movie ticket sales, and so on.
We also saw these accelerating dynamics, where waves of interest in discourse jumped from one topic to another very quickly. We're still studying the consequences this has on the quality of discourse, but you can imagine that the quicker that turnover is, the more difficult it is to keep up. It does create a vicious cycle, where we have to keep up with the discourse, but we might do so to the detriment of other things, such as the depth of the discourse.
How has the delivery of information affected learning?
JL: We know from research that if you want to learn something deeply, it requires hard mental work. Often, that hard mental work comes with confusion, frustration, and anxiety, depending on what you're trying to learn. This hard work that takes you from point A to point B is actually the key piece. You have to invest effort to create an effective learning experience. But things that are entertaining or aesthetically pleasing are easy for our minds to process. It tends to draw our attention because it feels nice for information to go down easily. Something we've seen a lot, especially with multimedia resources such as videos and podcasts, is that the easier to process the information is, the more it lures you into being overconfident about how much you know.
For example, there are fancy documentaries about really complex ideas like cosmology or quantum physics. Because they're so beautifully made, you might watch one for an hour and feel like you completely understand quantum physics. Of course you don't, but technology lures us into thinking that we can get to the finish line faster. Over time, these misjudgments compound. For students, that misjudgment would lead them to make the wrong decision—they probably need to spend more time studying the material, but they've developed a level of overconfidence.
Our research studies use classic testing approaches to assess people's understanding, but we also ask people how confident they are. Somebody who didn't perform well on a test but was very confident, didn't think they needed to put in much effort, and didn't think the material was difficult, is clearly overconfident in their learning.
The trick is to help our students test their understanding. If you think you understand something, you can try to explain it to someone else. If you can't, you probably don't understand it well enough. That calibration is critical. An expert is not just someone who knows lots of things; it's someone who knows the limits of their knowledge.
The full podcast is available online at americanscientist.org.
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In September 1781, the formidable Admiral George Brydges Rodney was in England convalescing from gout, which left the less-capable Rear Admiral Thomas Graves in charge of the British fleet during the strategically decisive Battle of the Chesapeake. Graves's defeat precipitated the Siege of Yorktown a month later, which resulted in British surrender to American and French troops.
had they been brought to bear off the coast of Virginia, might have changed the fate of an empire.
Rodney's incapacitation raises an intriguing medical question: Why were England's best doctors unable to treat gout, a disease that had plagued leaders for centuries? The answer can be traced to the influential physician Thomas Sydenham.
Sydenham, revered as "England's Hippocrates" and himself a longtime sufferer of gout, died in 1689, nearly a century before the American Revolution, but his work had a lasting impact on the nation's medical practices. One of his strongly held medical positions was to eschew treatments for gout. In his 1683 publication A Treatise on Gout and Dropsy, Sydenham wrote, "I scruple not to affirm from a long course of experience, that most of those who are supposed to perish by the gout, are rather destroyed by wrong management, than by the disease itself."
This assertion contradicted common practice in mainland Europe, where physicians administered a standard treatment with great success. That treatment was a tincture made from a small purple flower that blooms in autumn—the colchicum, or autumn crocus (Colchicum autumnale), which is not a true crocus but a member of the lily family. Extracts from this plant yield colchicine, a chemical that is still widely
prescribed today for inflammatory conditions, most notably gout. Its use was not novel: Colchicum is described as a remedy for joint pain in the Ebers Papyrus, an Egyptian manuscript written in approximately 1500 BCE.
Yet in 18th-century England, colchicum was regarded with deep suspicion and largely excluded from respectable medical practice. Sydenham had de-
The weight of Thomas Sydenham's authority was such that, for more than a century, colchicum as a treatment for gout all but vanished from the British pharmacopoeia.
nounced colchicum as a dangerous poison after experiencing its gastrointestinal effects firsthand. Diarrhea, nausea, and abdominal cramping—reactions now recognized as common, often dose-dependent, and typically self-limiting as the body adjusts—were in his opinion enough to condemn the drug to oblivion. The weight of Sydenham's authority was such that, for more than a century, colchicum all but vanished
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SPECIAL EDITION: 250 YEARS OF SCIENCE AND DEMOCRACY
with greater tactical precision, a battle might have gone the other way, and the world map might look quite different from what we see today. Who knows, perhaps even the import duties that were to fan the flames of colonial resentment and set rebellion alight might never have been imposed.
Such speculation belongs to the shadowland where medicine and history overlap, but it also offers a quiet reminder that empires, like bodies, are undone from within as much as they are conquered from without. The gout of an admiral or a statesman may seem incidental to the grand narratives of war and diplomacy, yet such ostensibly trivial inconveniences may play their part in shifting the tides of empire and quietly shaping the destinies of nations.
The autumn crocus, once scorned as poison, endures as a quiet symbol of what could have been—a flower that might have nipped rebellion in the bud had it, guided by a willing physician's hand, bloomed a little earlier.
Bywaters, E. G. L. 1962. Gout in the time and person of George IV: A case history. Annals of the Rheumatic Diseases 21:325–338.
Copeman, W. S. C. 1964. A Short History of the Gout and Rheumatic Diseases. University of California Press.
Dasgeb, B., D. Kornreich, K. McGuinn, L. Okon, I. Brownell, and D. L. Sackett. 2018. Colchicine: An ancient drug with novel applications. British Journal of Dermatology 178:350–356.
Lee, M. R. 1999. Colchicum autumnale and the gout. Naked ladies and portly gentlemen. Proceedings of the Royal College of Physicians of Edinburgh 29:65–70.
Nuki, G., and P. A. Simkin. 2006. A concise history of gout and hyperuricemia and their treatment. Arthritis Research & Therapy 8:S1.
Pinals, R. S. 2021. How Admiral Rodney's disability saved the American Revolution. Pharos Spring:27–29.
Porter, R. 2001. The prince's poison. New Scientist (January 20).
Philip A. Rea is professor of biology and Rebecca and Arie Beldegrun Distinguished Director of the Roy and Diana Vagelos Program in Life Sciences and Management at the University of Pennsylvania. His research as a plant biochemist explores membrane transport and cellular detoxification processes. Email: parea@sas.upenn.edu
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methods of countering online misinformation
Many social challenges that he hoped he found that many of the appli- cated would not have their intended were related more to human behavior PhD in human-centered design and to further understand these issues. People interact with misinformation, addressed in more democratic ways, conversations about the intersection to studies how people circulate and and he works with different com- help them cultivate healthier forms of now an assistant professor of com- ask, spoke with editor-in-chief Fenella has been edited for length and clarity.)
Are there cultural differences across countries that come up in these online environments related to information?
My colleague Kayo Mimizuka and I have studied QAnon in Japan. Yes, there is a large QAnon presence in Japan, and the dynamic there is some groups orient around right-wing U.S. political narratives and politicians, and they have anti-vaccine views. There are lots of cultural differences in how that country deals with problematic narratives like this. One is that they have a different argument culture, a notion developed by linguist Deborah Tannen. Here in the West, such as in America, our argument culture is more combative. Think about how deeply ingrained that is in our culture: People defend their dissertations, you attack an argument, you use bullet points. Japan has a different attitude. For instance, when they have a debate, they often don't bring two speakers to duke it out on television. They often bring three positions. There's more of an emphasis on collective harmony and preserving the social fabric. Some Japanese communities that have tried to combat QAnon are often not trying to disprove QAnon, but rather these communities start from the idea that people may be seeking belonging or meaning, and they try to offer healthier alternatives. That's a different approach.
How have you been able to engage with librarians and communities?
Our work was focused on using participatory design methods with communities across the nation to help them do
media literacy work. We would bring together librarians from across the country into groups where they would design solutions that they think would help their communities. An example of one is called Leveling Up Seniors. You teach younger students about misinformation, how it spreads online, or how AI can help spread it. And then they have to educate seniors. The idea is that grandparents are much more likely to show up if they're curious about what their grandchildren are doing. That kind of design, personally I would have never come up with. It took people on the ground in the communities to develop these ideas and make them real.
But this project was labeled as a DEI [diversity, equity, and inclusion] project and defunded. Community partners such as libraries had made plans and incurred costs based on that commitment. When the funding disappeared, we were left trying to piece together alternative support. We managed to figure out different solutions, finding pockets of money to help. But we spent months of our lives dealing with the fallout.
Another term you use is participatory disinformation; how does that relate to your research?
Participatory disinformation is the idea that these technologies enable us to participate in the production and dissemination of propaganda in new ways. One example is we were studying the information space around shooting events during Black Lives Matter, before
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create friction, complexity, and delays in biotechnology reviews. Engineered insects, for example, may fall under the FDA's animal drug authority, the EPA's pesticide authority, and APHIS's plant and animal health authority. In one case, developers of gene-drive mosquitoes, which are engineered to reduce pathogen transmission or fertility in their offspring, were passed off from agency to agency for nearly 10 years.
Third, the federal government must mobilize the private sector to scale U.S. biotech innovations faster and compete against China's brute-force economic tactics in the global marketplace. Strengthening our R&D ecosystem—through initiatives such as biotechnology grand challenges and developing AI-ready biological data—will help ensure the United States continues to out-innovate our strategic rivals. In practice, this might involve the establishment of Centers for Biotechnology at existing National Laboratories, and the creation of a Web of Biological Data as a single point for accessing high-quality biological data. Congress should authorize the National Institute of Standards and Technology to create standards that researchers must meet to ensure that U.S. biological data is ready for use in AI models. It should fund the Department of the Interior to create a Sequencing Public Lands Initiative to collect new data from the immense genetic resources found on U.S. public lands. And it should authorize the National Science Foundation to establish a network of 'cloud labs,' a series of high-tech facilities that researchers can operate remotely, giving them access to state-of-the-art tools.
Biotechnology also offers important opportunities for our national defense, from improving logistics and reconnaissance to enhancing medical readiness for warfighters. At the same time, however, we must ensure that U.S. technology and capital do not contribute to the military capabilities of strategic competitors. Provisions in the Fiscal Year 2026 National Defense Authorization Act (FY26 NDAA) address some of these considerations, particularly the establishment of the Biotechnology Management Office within the Pentagon to coordinate agency focus on this sector.
Fourth, our nation must take proactive steps to build the biotech workforce of the future. In part, this goal means equipping the government with the necessary resources and expertise to
Subcommittee on Oceanography of the Committee on Merchant Marine and Fisheries of the U.S. House of Representatives. The participants also included Robert W. Corell, who chaired a task force that evaluated the impact of Sea Grant activities on the U.S. economy. Corell opened the testimony by saying that, with an annual budget of around $38.8 million, Sea Grant provided $217 million to the U.S. economy every year.
The testimony of one of the commercial users of Sea Grant research illustrated the value of the program especially well. In a letter dated March 23, 1981, that was read to the subcommittee, James Hudlow, president of a seafood distribution company in Chattanooga, Tennessee, said he had begun his relationship with Sea Grant when he contacted the National Marine Fisheries Service in St. Petersburg, Florida, to ask how he should smoke his catch to meet new U.S. Food and Drug Administration standards. They put him in touch with the University of Georgia, where Sea Grant-funded scientists who carried out research in that area taught him the methods he eventually used to smoke and distribute "30,000 [pounds] of fish for which there had been no demand at that time in the existing fresh fish market." Thus, the Sea Grant network was already leading Hudlow to the information and contacts he needed. Later, when Hudlow was seeking help improving the shelf life of his product, he worked with the Sea Grant schools Texas A&M and the University of Wisconsin to learn new methods that they had developed. Hudlow's testimony showed that not only was the knowledge produced by Sea Grant not limited to local concerns, but that the true importance of the program was that any knowledge requested could and would be readily shared.
This free availability was a crucial point, a benefit that could not be expected from industry funders or even necessarily from individual states or municipalities. Science done at these Sea Grant institutions was of national importance and could not be adequately funded by other sources without losing the open network of knowledge sharing that made Sea Grant so valuable. None of that has changed.
But Sea Grant is once again facing an uncertain future; U.S. President Donald Trump's administration has proposed cutting NOAA's budget by $1.6 billion, or roughly 27 percent. It is unclear how that will affect Sea Grant in the long term, but the subsequent wrangling has already hamstrung NOAA's ability to issue grants.
Sea Grant is government doing what it does best: taking modest amounts of money, applying it where nobody else will invest, and producing big payoffs for the general good. The long American legacies of land-grant universities and Sea Grant research support the essential identity of this country as a land of opportunity with a good quality of life for all. As I hope I've shown, defunding such a valuable and productive resource would be tragically shortsighted.
Carlton, J. S., C. J. Foley, and T. O. Höök. 2024. Sea Grant research funding: Advancing the scientific discourse by addressing local research priorities. Oceanography 37:140–145. Foley, C. J., M. Behl, and R. A. Briggs. 2020. A case study of the importance of publicly-funded research to coastal regions. National Sea Grant College Program. National Oceanic and Atmospheric Administration. National Oceanic and Atmospheric Administration. 2026. Sea Grant by the Numbers. Accessed May 27, 2026. seagrant.noaa.gov/wp-content/uploads/2026/01/Sea-Grant-By-the-Numbers_January-2026_508.pdf Oreskes, N. 2021. Science on a Mission: How Military Funding Shaped What We Do and Don't Know about the Ocean. University of Chicago Press. Ray, G. C. 1970. Ecology, law, and the "Marine Revolution." Biological Conservation 3:7–17. Ray, G. C. 1985. Man and the sea—the ecological challenge. American Zoologist 25:451–468.
Samantha Muka is an associate professor and the director of the Science, Technology, and Society program at the Stevens Institute of Technology. She is the author of Oceans under Glass (2022) and is currently working on a book that examines the history of American coastal engineering and waste management policies in the latter half of the 20th century. Email: smuka@stevens.edu
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riences and values that public audiences brought to the NMAH were also a crucial part of the story. Both the Smithsonian staff and the ACS sought audience feedback to help shape the exhibition.
As Smithsonian staff were developing the script for the wall text and labels, they conducted focus groups to tap into public opinion. After Science in American Life had opened, their research continued via questionnaires distributed to museum visitors. Their questions began with the very definition of science itself. Surveys found that visitors believed science was “inseparable from computers, cars and automatic teller machines”; at the same time, they often cited more philosophical concepts such as “understanding,” “ideas,” and “how things work.” Even more generally, the questionnaires revealed that audiences associated science with “how we live, the air we breathe,” with “basic elements of our world,” and even with “space and everything in between.”
Respondents expressed complex views about the relationship between science and society. As one internal summary of public opinions reported:
They are aware that society provides the financial support for scientific research and creates the demand for scientific products, but non-scientists have less clear ideas about the different roles that people play within the scientific community. Science is often discussed in monolithic terms, and when visitors discuss it specifically, they talk about the aspects that are most familiar to them. . . . They first think of their role as educators for their children, informed citizens, and consumers.
The Smithsonian’s audience research suggests that the ACS’s concerns about negative public attitudes were overblown. When discussing science and society, interviewees tended to reflect more on progress and advancement than on risks. And they were divided when it came to identifying the locus of ethical responsibility. Whereas some “spoke of industry and big business with suspicion,” others argued that “citizens’ and consumers’ demands influenced how science is used.”
Focus groups also encouraged the curators to represent museum visitors’ diverse identities and backgrounds. Drawing on this feedback, designers created cardboard cutouts of scientists
representing various demographic groups to guide visitors through the displays. Private correspondence archived by the ACS dismissed such efforts as unnecessary “political correctness.”
But the ACS’s own informal research reinforced the importance of centering public opinion. For example, Heindel asked a group of fifth graders at Wilson Hill School in Worthington, Ohio, who they would like to have host a video tour of the exhibition. At the top of the list were votes for their friends and other students, far outranking pop culture heroes such as Michael Jordan and Macaulay Culkin. The students’ responses confirmed the Smithsonian’s findings that visitors wanted to see themselves reflected in the exhibition.
At the root of the disagreement between the curators and advisers was the ACS’s fear that a narrative rooted in history rather than discovery would come across as anti-science. Correspondence between the Smithsonian and the ACS details a characteristic dispute regarding how to present Rachel Carson’s book Silent Spring, the 1962 bestseller that called attention to the dangers of indiscriminate pesticide use, and in particular the synthetic pesticide dichloro-diphenyl-trichloro (DDT). Silent Spring inspired environmental movements around the country while simultaneously facing fiery position from U.S. chemical comp
Heindel called out the curator interpretation of Silent Spring as emphasizing the “impacts (mostly negative) of Chemistry with scant credit successes.” Members of the ACS were sory board, accordingly, took up pens to edit their way toward a “balanced” public representation history of chemistry. Among other suggested changes, they demanded a vision of the humanitarian motivation behind the development of DDT.
The earlier decision to begin exhibition in 1876 with the establishment of Remsen’s laboratory an
Laura Clerx | Revolutionary-era geological knowledge was rooted in human experience.
The first page of the Ohio State Geological Survey's 1837 report bears an illustration of the rocks lying beneath the surface of the Earth in southern Ohio. Layers of rock lie one atop the next, in the order they were laid down in time. The smooth layers stretch horizontally across the page, disrupted only by two faint lines that cut vertically from the coal series at the top of the image to the sandstone layer in the middle. The labels next to these two lines read, in even fainter text, "salt well." The wells were dug by early settlers eager to access the briny mineral deposits flowing beneath the surface of the state.
The salt wells gave me pause as I pored over the geological survey. Salt was a useful and profitable commodity in 18th- and early 19th-century Ohio. But why had early geologists included these relics of human economic engagement on what was plainly supposed to be a geological map of the state? The reason, as it turns out, has to do with the ways that science itself has changed over the course of the United States' 250-year history.
Today, scientists often rely on specialized instruments and methods, their experiments taking place in laboratories and field sites that seem to stand apart from everyday life. At the time of the United States' founding, however, scientific knowledge came by way of ordinary human experience, including economic experience. The political economy of America's founding—including Ohio's early salt industry—created the conditions in which 19th-century U.S. scientists came to understand and describe the world beneath their feet. And when contemporary economic experience failed to provide scientists with the knowledge they sought about the region's rocks, 19th-century Americans turned to the past, looking to the human history of the region's settlement for the facts that would help them understand the history of the Earth.
In 1776, when the Declaration of Independence was signed, the word science meant something different than it means today. (Indeed, the word scientist, in the modern sense of a person who researches the natural world, did not come into common usage until after the 1830s.) To be scientific, or philosophical, in the 18th century was to be
Early geologists found that those who labored to produce mineral resources were often well equipped to offer facts about North American rocks.
equipped with a method for logically organizing facts to support a conclusion. Science did not pertain exclusively to the study of the natural or physical world. One could speak of a "science" of any systematically organized field of knowledge: Religion, law, politics, and economics could all be sciences.
Revolutionary-era Americans did, of course, theorize about the Earth's history. In 1793, Benjamin Franklin synthesized existing theories on the formation of the Earth in an essay published by the American Philosophical Society. In addition, since the colonial period, settlers had reported on the location and identity of economically useful minerals such as copper, lead, and zinc. They used a combination of physical characteristics and chemical analyses to identify minerals in the territories they explored.
Although late 18th-century natural philosophers carried out experiments with the goal of discovering the properties of the material world, experiments were not the only way they learned about nature. They also turned to human experience. In the 17th century,
Francis Bacon wrote that facts about the natural world were gleaned through human engagement with nature. At the time of the nation's founding, human experiences of the natural world, including the everyday experiences of economic life, were still an important source of scientific information. Early geologists found that those who labored to produce mineral resources were often well equipped to offer facts about North American rocks.
In 1837, Ohio's First Annual Report of the Geological Survey was part of a wave of 19th-century efforts to fund scientific surveying in the United States. The report offers many instances in which Ohio's early geologists depended upon the experience of laborers to map Ohio's rocks and understand their properties. The scientist and historian Samuel Prescott Hildreth, serving as the assistant geologist behind the report's section on salt, forthrightly admitted that much of the information in the report was "confirmed by facts connected with the boring of salt wells." For example, he knew the color and texture of
218 American Scientist, Volume 114
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822. 823. 824. 825. 826. 827. 828. 829. 830. 831. 832. 833. 834. 835. 836. 837. 838. 839. 840. 841. 842. 843. 844. 845. 846. 847. 848. 849. 850. 851. 852. 853. 854. 855. 856. 857. 858. 859. 860. 861. 862. 863. 864. 865. 866. 867. 868. 869. 870. 871. 872. 873. 874. 875. 876. 877. 878. 879. 880. 881. 882. 883. 884. 885. 886. 887. 888. 889. 890. 891. 892. 893. 894. 895. 896. 897. 898. 899. 900. 901. 902. 903. 904. 905. 906. 907. 908. 909. 910. 911. 912. 913. 914. 915. 916. 917. 918. 919. 920. 921. 922. 923. 924. 925. 926. 927. 928. 929. 930. 931. 932. 933. 934. 935. 936. 937. 938. 939. 940. 941. 942. 943. 944. 945. 946. 947. 948. 949. 950. 951. 952. 953. 954. 955. 956. 957. 958. 959. 960. 961. 962. 963. 964. 965. 966. 967. 968. 969. 970. 971. 972. 973. 974. 975. 976. 977. 978. 979. 980. 981. 982. 983. 984. 985. 986. 987. 988. 989. 990. 991. 992. 993. 994. 995. 996. 997. 998. 999. 1000. 1001. 1002. 1003. 1004. 1005. 1006. 1007. 1008. 1009. 1010. 1011. 1012. 1013. 1014. 1015. 1016. 1017. 1018. 1019. 1020. 1021. 1022. 1023. 1024. 1025. 1026. 1027. 1028. 1029. 1030. 1031. 1032. 1033. 1034. 1035. 1036. 1037. 1038. 1039. 1040. 1041. 1042. 1043. 1044. 1045. 1046. 1047. 1048. 1049. 1050. 1051. 1052. 1053. 1054. 1055. 1056. 1057. 1058. 1059. 1060. 1061. 1062. 1063. 1064. 1065. 1066. 1067. 1068. 1069. 1070. 1071. 1072. 1073. 1074. 1075. 1076. 1077. 1078. 1079. 1080. 1081. 1082. 1083. 1084. 1085. 1086. 1087. 1088. 1089. 1090. 1091. 1092. 1093. 1094. 1095. 1096. 1097. 1098. 1099. 1100. 1101. 1102. 1103. 1104. 1105. 1106. 1107. 1108. 1109. 1110. 1111. 1112. 1113. 1114. 1115. 1116. 1117. 1118. 1119. 1120. 1121. 1122. 1123. 1124. 1125. 1126. 1127. 1128. 1129. 1130. 1131. 1132. 1133. 1134. 1135. 1136. 1137. 1138. 1139. 1140. 1141. 1142. 1143. 1144. 1145. 1146. 1147. 1148. 1149. 1150. 1151. 1152. 1153. 1154. 1155. 1156. 1157. 1158. 1159. 1160. 1161. 1162. 1163. 1164. 1165. 1166. 1167. 1168. 1169. 1170. 1171. 1172. 1173. 1174. 1175. 1176. 1177. 1178. 1179. 1180. 1181. 1182. 1183. 1184. 1185. 1186. 1187. 1188. 1189. 1190. 1191. 1192. 1193. 1194. 1195. 1196. 1197. 1198. 1199. 1200. 1201. 1202. 1203. 1204. 1205. 1206. 1207. 1208. 1209. 1210. 1211. 1212. 1213. 1214. 1215. 1216. 1217. 1218. 1219. 1220. 1221. 1222. 1223. 1224. 1225. 1226. 1227. 1228. 1229. 1230. 1231. 1232. 1233. 1234. 1235. 1236. 1237. 1238. 1239. 1240. 1241. 1242. 1243. 1244. 1245. 1246. 1247. 1248. 1249. 1250. 1251. 1252. 1253. 1254. 1255. 1256. 1257. 1258. 1259. 1260. 1261. 1262. 1263. 1264. 1265. 1266. 1267. 1268. 1269. 1270. 1271. 1272. 1273. 1274. 1275. 1276. 1277. 1278. 1279. 1280. 1281. 1282. 1283. 1284. 1285. 1286. 1287. 1288. 1289. 1290. 1291. 1292. 1293. 1294. 1295. 1296. 1297. 1298. 1299. 1300. 1301. 1302. 1303. 1304. 1305. 1306. 1307. 1308. 1309. 1310. 1311. 1312. 1313. 1314. 1315. 1316. 1317. 1318. 1319. 1320. 1321. 1322. 1323. 1324. 1325. 1326. 1327. 1328. 1329. 1330. 1331. 1332. 1333. 1334. 1335. 1336. 1337. 1338. 1339. 1340. 1341. 1342. 1343. 1344. 1345. 1346. 1347. 1348. 1349. 1350. 1351. 1352. 1353. 1354. 1355. 1356. 1357. 1358. 1359. 1360. 1361. 1362. 1363. 1364. 1365. 1366. 1367. 1368. 1369. 1370. 1371. 1372. 1373. 1374. 1375. 1376. 1377. 1378. 1379. 1380. 1381. 1382. 1383. 1384. 1385. 1386. 1387. 1388. 1389. 1390. 1391. 1392. 1393. 1394. 1395. 1396. 1397. 1398. 1399. 1400. 1401. 1402. 1403. 1404. 1405. 1406. 1407. 1408. 1409. 1410. 1411. 1412. 1413. 1414. 1415. 1416. 1417. 1418. 1419. 1420. 1421. 1422. 1423. 1424. 1425. 1426. 1427. 1428. 1429. 1430. 1431. 1432. 1433. 1434. 1435. 1436. 1437. 1438. 1439. 1440. 1441. 1442. 1443. 1444. 1445. 1446. 1447. 1448. 1449. 1450. 1451. 1452. 1453. 1454. 1455. 1456. 1457. 1458. 1459. 1460. 1461. 1462. 1463. 1464. 1465. 1466. 1467. 1468. 1469. 1470. 1471. 1472. 1473. 1474. 1475. 1476. 1477. 1478. 1479. 1480. 1481. 1482. 1483. 1484. 1485. 1486. 1487. 1488. 1489. 1490. 1491. 1492. 1493. 1494. 1495. 1496. 1497. 1498. 1499. 1500. 1501. 1502. 1503. 1504. 1505. 1506. 1507. 1508. 1509. 1510. 1511. 1512. 1513. 1514. 1515. 1516. 1517. 1518. 1519. 1520. 1521. 1522. 1523. 1524. 1525. 1526. 1527. 1528. 1529. 1530. 1531. 1532. 1533. 1534. 1535. 1536. 1537. 1538. 1539. 1540. 1541. 1542. 1543. 1544. 1545. 1546. 1547. 1548. 1549. 1550. 1551. 1552. 1553. 1554. 1555. 1556. 1557. 1558. 1559. 1560. 1561. 1562. 1563. 1564. 1565. 1566. 1567. 1568. 1569. 1570. 1571. 1572. 1573. 1574. 1575. 1576. 1577. 1578. 1579. 1580. 1581. 1582. 1583. 1584. 1585. 1586. 1587. 1588. 1589. 1590. 1591. 1592. 1593. 1594. 1595. 1596. 1597. 1598. 1599. 1600. 1601. 1602. 1603. 1604. 1605. 1606. 1607. 1608. 1609. 1610. 1611. 1612. 1613. 1614. 1615. 1616. 1617. 1618. 1619. 1620. 1621. 1622. 1623. 1624. 1625. 1626. 1627. 1628. 1629. 1630. 1631. 1632. 1633. 1634. 1635. 1636. 1637. 1638. 1639. 1640. 1641. 1642. 1643. 1644. 1645. 1646. 1647. 1648. 1649. 1650. 1651. 1652. 1653. 1654. 1655. 1656. 1657. 1658. 1659. 1660. 1661. 1662. 1663. 1664. 1665. 1666. 1667. 1668. 1669. 1670. 1671. 1672. 1673. 1674. 1675. 1676. 1677. 1678. 1679. 1680. 1681. 1682. 1683. 1684. 1685. 1686. 1687. 1688. 1689. 1690. 1691. 1692. 1693. 1694. 1695. 1696. 1697. 1698. 1699. 1700. 1701. 1702. 1703. 1704. 1705. 1706. 1707. 1708. 1709. 1710. 1711. 1712. 1713. 1714. 1715. 1716. 1717. 1718. 1719. 1720. 1721. 1722. 1723. 1724. 1725. 1726. 1727. 1728. 1729. 1730. 1731. 1732. 1733. 1734. 1735. 1736. 1737. 1738. 1739. 1740. 1741. 1742. 1743. 1744. 1745. 1746. 1747. 1748. 1749. 1750. 1751. 1752. 1753. 1754. 1755. 1756. 1757. 1758. 1759. 1760. 1761. 1762. 1763. 1764. 1765. 1766. 1767. 1768. 1769. 1770. 1771. 1772. 1773. 1774. 1775. 1776. 1777. 1778. 1779. 1780. 1781. 1782. 1783. 1784. 1785. 1786. 1787. 1788. 1789. 1790. 1791. 1792. 1793. 1794. 1795. 1796. 1797. 1798. 1799. 1800. 1801. 1802. 1803. 1804. 1805. 1806. 1807. 1808. 1809. 1810. 1811. 1812. 1813. 1814. 1815. 1816. 1817. 1818. 1819. 1820. 1821. 1822. 1823. 1824. 1825. 1826. 1827. 1828. 1829. 1830. 1831. 1832. 1833. 1834. 1835. 1836. 1837. 1838. 1839. 1840. 1841. 1842. 1843. 1844. 1845. 1846. 1847. 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2014. 2015. 2016. 2017. 2018. 2019. 2020. 2021. 2022. 2023. 2024. 2025. 2026. 2027. 2028. 2029. 2030. 2031. 2032. 2033. 2034. 2035. 2036. 2037. 2038. 2039. 2040. 2041. 2042. 2043. 2044. 2045. 2046. 2047. 2048. 2049. 2050. 2051. 2052. 2053. 2054. 2055. 2056. 2057. 2058. 2059. 2060. 2061. 2062. 2063. 2064. 2065. 2066. 2067. 2068. 2069. 2070. 2071. 2072. 2073. 2074. 2075. 2076. 2077. 2078. 2079. 2080. 2081. 2082. 2083. 2084. 2085. 2086. 2087. 2088. 2089. 2090. 2091. 2092. 2093. 2094. 2095. 2096. 2097. 2098. 2099. 2100. 2101. 2102. 2103. 2104. 2105. 2106. 2107. 2108. 2109. 2110. 2111. 2112. 2113. 2114. 2115. 2116. 2117. 2118. 2119. 2120. 2121. 2122. 2123. 2124. 2125. 2126. 2127. 2128. 2129. 2130. 2131. 2132. 2133. 2134. 2135. 2136. 2137. 2138. 2139. 2140. 2141. 2142. 2143. 2144. 2145. 2146. 2147. 2148. 2149. 2150. 2151. 2152. 2153. 2154. 2155. 2156. 2157. 2158. 2159. 2160. 2161. 2162. 2163. 2164. 2165. 2166. 2167. 2168. 2169. 2170. 2171. 2172. 2173. 2174. 2175. 2176. 2177. 2178. 2179. 2180. 2181. 2182. 2183. 2184. 2185. 2186. 2187. 2188. 2189. 2190. 2191. 2192. 2193. 2194. 2195. 2196. 2197. 2198. 2199. 2200. 2201. 2202. 2203. 2204. 2205. 2206. 2207. 2208. 2209. 2210. 2211. 2212. 2213. 2214. 2215. 2216. 2217. 2218. 2219. 2220. 2221. 2222. 2223. 2224. 2225. 2226. 2227. 2228. 2229. 2230. 2231. 2232. 2233. 2234. 2235. 2236. 2237. 2238. 2239. 2240. 2241. 2242. 2243. 2244. 2245. 2246. 2247. 2248. 2249. 2250. 2251. 2252. 2253. 2254. 2255. 2256. 2257. 2258. 2259. 2260. 2261. 2262. 2263. 2264. 2265. 2266. 2267. 2268. 2269. 2270. 2271. 2272. 2273. 2274. 2275. 2276. 2277. 2278. 2279. 2280. 2281. 2282. 2283. 2284. 2285. 2286. 2287. 2288. 2289. 2290. 2291. 2292. 2293. 2294. 2295. 2296. 2297. 2298. 2299. 2300. 2301. 2302. 2303. 2304. 2305. 2306. 2307. 2308. 2309. 2310. 2311. 2312. 2313. 2314. 2315. 2316. 2317. 2318. 2319. 2320. 2321. 2322. 2323. 2324. 2325. 2326. 2327. 2328. 2329. 2330. 2331. 2332. 2333. 2334. 2335. 2336. 2337. 2338. 2339. 2340. 2341. 2342. 2343. 2344. 2345. 2346. 2347. 2348. 2349. 2350. 2351. 2352. 2353. 2354. 2355. 2356. 2357. 2358. 2359. 2360. 2361. 2362. 2363. 2364. 2365. 2366. 2367. 2368. 2369. 2370. 2371. 2372. 2373. 2374. 2375. 2376. 2377. 2378. 2379. 2380. 2381. 2382. 2383. 2384. 2385. 2386. 2387. 2388. 2389. 2390. 2391. 2392. 2393. 2394. 2395. 2396. 2397. 2398. 2399. 2400. 2401. 2402. 2403. 2404. 2405. 2406. 2407. 2408. 2409. 2410. 2411. 2412. 2413. 2414. 2415. 2416. 2417. 2418. 2419. 2420. 2421. 2422. 2423. 2424. 2425. 2426. 2427. 2428. 2429. 2430. 2431. 2432. 2433. 2434. 2435. 2436. 2437. 2438. 2439. 2440. 2441. 2442. 2443. 2444. 2445. 2446. 2447. 2448. 2449. 2450. 2451. 2452. 2453. 2454. 2455. 2456. 2457. 2458. 2459. 2460. 2461. 2462. 2463. 2464. 2465. 2466. 2467. 2468. 2469. 2470. 2471. 2472. 2473. 2474. 2475. 2476. 2477. 2478. 2479. 2480. 2481. 2482. 2483. 2484. 2485. 2486. 2487. 2488. 2489. 2490. 2491. 2492. 2493. 2494. 2495. 2496. 2497. 2498. 2499. 2500. 2501. 2502. 2503. 2504. 2505. 2506. 2507. 2508. 2509. 2510. 2511. 2512. 2513. 2514. 2515. 2516. 2517. 2518. 2519. 2520. 2521. 2522. 2523. 2524. 2525. 2526. 2527. 2528. 2529. 2530. 2531. 2532. 2533. 2534. 2535. 2536. 2537. 2538. 2539. 2540. 2541. 2542. 2543. 2544. 2545. 2546. 2547. 2548. 2549. 2550. 2551. 2552. 2553. 2554. 2555. 2556. 2557. 2558. 2559. 2560. 2561. 2562. 2563. 2564. 2565. 2566. 2567. 2568. 2569. 2570. 2571. 2572. 2573. 2574. 2575. 2576. 2577. 2578. 2579. 2580. 2581. 2582. 2583. 2584. 2585. 2586. 2587. 2588. 2589. 2590. 2591. 2592. 2593. 2594. 2595. 2596. 2597. 2598. 2599. 2600. 2601. 2602. 2603. 2604. 2605. 2606. 2607. 2608. 2609. 2610. 2611. 2612. 2613. 2614. 2615. 2616. 2617. 2618. 2619. 2620. 2621. 2622. 2623. 2624. 2625. 2626. 2627. 2628. 2629. 2630. 2631. 2632. 2633. 2634. 2635. 2636. 2637. 2638. 2639. 2640. 2641. 2642. 2643. 2644. 2645. 2646. 2647. 2648. 2649. 2650. 2651. 2652. 2653. 2654. 2655. 2656. 2657. 2658. 2659. 2660. 2661. 2662. 2663. 2664. 2665. 2666. 2667. 2668. 2669. 2670. 2671. 2672. 2673. 2674. 2675. 2676. 2677. 2678. 2679. 2680. 2681. 2682. 2683. 2684. 2685. 2686. 2687. 2688. 2689. 2690. 2691. 2692. 2693. 2694. 2695. 2696. 2697. 2698. 2699. 2700. 2701. 2702. 2703. 2704. 2705. 2706. 2707. 2708. 2709. 2710. 2711. 2712. 2713. 2714. 2715. 2716. 2717. 2718. 2719. 2720. 2721. 2722. 2723. 2724. 2725. 2726. 2727. 2728. 2729. 2730. 2731. 2732. 2733. 2734. 2735. 2736. 2737. 2738. 2739. 2740. 2741. 2742. 2743. 2744. 2745. 2746. 2747. 2748. 2749. 2750. 2751. 2752. 2753. 2754. 2755. 2756. 2757. 2758. 2759. 2760. 2761. 2762. 2763. 2764. 2765. 2766. 2767. 2768. 2769. 2770. 2771. 2772. 2773. 2774. 2775. 2776. 2777. 2778. 2779. 2780. 2781. 2782. 2783. 2784. 2785. 2786. 2787. 2788. 2789. 2790. 2791. 2792. 2793. 2794. 2795. 2796. 2797. 2798. 2799. 2800. 2801. 2802. 2803. 2804. 2805. 2806. 2807. 2808. 2809. 2810. 2811. 2812. 2813. 2814. 2815. 2816. 2817. 2818. 2819. 2820. 2821. 2822. 2823. 2824. 2825. 2826. 2827. 2828. 2829. 2830. 2831. 2832. 2833. 2834. 2835. 2836. 2837. 2838. 2839. 2840. 2841. 2842. 2843. 2844. 2845. 2846. 2847. 2848. 2849. 2850. 2851. 2852. 2853. 2854. 2855. 2856. 2857. 2858. 2859. 2860. 2861. 2862. 2863. 2864. 2865. 2866. 2867. 2868. 2869. 2870. 2871. 2872. 2873. 2874. 2875. 2876. 2877. 2878. 2879. 2880. 2881. 2882. 2883. 2884. 2885. 2886. 2887. 2888. 2889. 2890. 2891. 2892. 2893. 2894. 2895. 2896. 2897. 2898. 2899. 2900. 2901. 2902. 2903. 2904. 2905. 2906. 2907. 2908. 2909. 2910. 2911. 2912. 2913. 2914. 2915. 2916. 2917. 2918. 2919. 2920. 2921. 2922. 2923. 2924. 2925. 2926. 2927. 2928. 2929. 2930. 2931. 2932. 2933. 2934. 2935. 2936. 2937. 2938. 2939. 2940. 2941. 2942. 2943. 2944. 2945. 2946. 2947. 2948. 2949. 2950. 2951. 2952. 2953. 2954. 2955. 2956. 2957. 2958. 2959. 2960. 2961. 2962. 2963. 2964. 2965. 2966. 2967. 2968. 2969. 2970. 2971. 2972. 2973. 2974. 2975. 2976. 2977. 2978. 2979. 2980. 2981. 2982. 2983. 2984. 2985. 2986. 2987. 2988. 2989. 2990. 2991. 2992. 2993. 2994. 2995. 2996. 2997. 2998. 2999. 3000. |
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western lands that Britain had ceded to the United States at the end of the Revolutionary War. Hildreth's father had been a shareholder in the land company that settled the region.
In addition to serving on the state geological survey in the 1830s, Hildreth was Marietta's town doctor, had a brief stint on the state legislature, and authored histories of the region's settlement that are still used today. He spent much of his life collecting historical documentary sources such as letters and maps from his neighbors and friends, creating an archive of the region's history, especially its settlement in the 18th century. In addition to supplying him with facts for his civil history of Ohio, these sources helped him to write the state's natural history.
The history of Ohio's salt industry was particularly important for Hildreth's geological work. On a 1795 map that he collected from one of the region's first settler families, the geologist scrawled across the top: "The discovery of Salt Springs excited as much interest as the finding of Gold mines in these days—1859—S.P.H."
The map originally belonged to Ohio settler Griffin Greene. It had come into Hildreth's possession in the mid-1800s, together with some of Greene's correspondence with family, friends, and the early U.S. government. Like many early settlers, Greene moved to Ohio in search of opportunity during the economically difficult years that followed the Revolution. Ohio's naturally occurring salt springs seemed like the answer to his troubles.
Salt was a profitable commodity in the early United States, used for everything from food preservation and medicine to livestock care and leather tanning. In the territory west of the Allegheny Mountains, people dug wells deep into the Earth to reach the salt deposits below. Once the brine was at the surface, they boiled off the water to leave behind the precious white mineral.
At the time of Ohio's settlement in the 1780s, most salt was imported from England or from the East Coast of
Historic American Engineering Record/Library of Congress
Remnants of Ohio's early mineral-based industrial economy abound. The Buckhorn Iron Furnace, a charcoal furnace for smelting iron, was built in Lawrence County, Ohio, in the early 1800s, and is still standing.
North America, where it was obtained by evaporating seawater, and sold at high prices in the territory west of the Alleghenies. Greene and other settlers hoped to profit by obtaining salt from inland salt springs and selling it at lower prices to the surrounding markets.
As salt workers dug deeper into the Earth, they brought to the surface new information that state survey geologists used to map the layers of rock beneath Ohio.
Like the settlement of western lands, the discovery of Ohio's salt springs did not go uncontested by Native Americans living in the lands now claimed by the United States. Throughout the 1790s, the Northwest Confederacy of Native nations challenged U.S. sover-
eighty in the Northwest Territory. In practice, Indigenous knowledge often preceded and guided colonial economic development. Greene's "discovery" of the salt springs shown on Hildreth's diagram was the result of a clandestine canoe trip he made after hearing rumors of a place where the region's Indigenous inhabitants boiled salt.
Greene immediately appealed to the U.S. government to lease him the lands on which the salt springs were located. Because Ohio was not yet a state and was still under control of a territorial government, this appeal meant petitioning the federal government back east, and in 1796, he asked Congress for the right "to improve and work" the spring. Greene's argument was that the current settlers who illegally worked the springs used primitive methods, digging into the soft sandstone and then
boiling the brine that puddled up. To produce a quantity of salt profitable to the state would require investment in expensive equipment—wells, boring equipment, wooden piping, and furnaces—that "no private individual" would "supply, at his own expense" without assurance of the government's legal protection.
In 1803, Ohio became the 17th state in the Union. The state's legal incorporation provided a framework for more intense economic development of its mineral resources, including the salt springs that Greene had been so eager to operate a decade earlier. In 1806, the state legislature began to subsidize the development of Ohio's saltworks. They gave financial incentives to those who bored deeper wells, constructed furnaces, and used coal for fuel instead of wood.
As time went on, salt workers found it necessary to delve ever deeper into Ohio's rocks if they wanted to produce a profitable amount of salt. In 1815, the state legislature offered salt workers $750 to construct wells at least 107 meters deep. Still, many found it difficult to force the briny water to the surface and abandoned the sites they drilled.
220 American Scientist, Volume 114
As salt workers dug deeper into the Earth, they brought to the surface new information that state survey geologists used to map the layers of rock beneath Ohio. The legislature's encouragement motivated more intense economic engagement with Ohio's rocks in the early 1800s. This intensification facilitated a knowledge of the underground realm that was—quite literally—deeper. In 1833, Hildreth created a table of the various rock types found to a depth of 305 meters below the surface of the Earth at a site near the Muskingum River, a tributary of the Ohio River in the southeastern part of the state. The geologist drew from the notes of a salt boiler named L. G. Barker, who had dug a well at the site earlier in the century. The salt worker's notes described 250 of the 305 meters of rock in Hildreth's table.
By the 1820s, salt was no longer considered a scarce commodity in Ohio. Faced with competition from more productive wells in Kentucky and West Virginia, the state sold the springs to private individuals and stopped subsidizing the works.
Even as fossil fuel production came to dominate the economy of Midwestern states, the history of the region's salt industry continued to pay scientific dividends. Salt workers in the late 18th and early 19th centuries had witnessed a gas that rose from their drill sites and "scattered spray round the well," as one worker described it to Hildreth. In the state survey report of the 1830s, geologists including Hildreth associated this gas, likely a mixture of methane and other gases from nearby coal beds, with salt rock deposits. As coal (and later oil and natural gas) increased in economic importance in the late 19th and early 20th centuries, the locations of old salt wells served as potential indicators of nearby fossil fuel deposits.
At the nation's founding, human needs and human imperatives—the ingenious and the exalted, the profit seeking and the profane—shaped scientists' knowledge of the natural world. In the early days of Ohio's settlement, political and economic demands such as the development of the early salt industry shaped was what known about the natural world.
As time went on, however, the geological sciences developed to such a degree that their relationship to the econ-
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2346. 2347. 2348. 2349. 2350. 2351. 2352. 2353. 2354. 2355. 2356. 2357. 2358. 2359. 2360. 2361. 2362. 2363. 2364. 2365. 2366. 2367. 2368. 2369. 2370. 2371. 2372. 2373. 2374. 2375. 2376. 2377. 2378. 2379. 2380. 2381. 2382. 2383. 2384. 2385. 2386. 2387. 2388. 2389. 2390. 2391. 2392. 2393. 2394. 2395. 2396. 2397. 2398. 2399. 2400. 2401. 2402. 2403. 2404. 2405. 2406. 2407. 2408. 2409. 2410. 2411. 2412. 2413. 2414. 2415. 2416. 2417. 2418. 2419. 2420. 2421. 2422. 2423. 2424. 2425. 2426. 2427. 2428. 2429. 2430. 2431. 2432. 2433. 2434. 2435. 2436. 2437. 2438. 2439. 2440. 2441. 2442. 2443. 2444. 2445. 2446. 2447. 2448. 2449. 2450. 2451. 2452. 2453. 2454. 2455. 2456. 2457. 2458. 2459. 2460. 2461. 2462. 2463. 2464. 2465. 2466. 2467. 2468. 2469. 2470. 2471. 2472. 2473. 2474. 2475. 2476. 2477. 2478. 2479. 2480. 2481. 2482. 2483. 2484. 2485. 2486. 2487. 2488. 2489. 2490. 2491. 2492. 2493. 2494. 2495. 2496. 2497. 2498. 2499. 2500. 2501. 2502. 2503. 2504. 2505. 2506. 2507. 2508. 2509. 2510. 2511. 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2678. 2679. 2680. 2681. 2682. 2683. 2684. 2685. 2686. 2687. 2688. 2689. 2690. 2691. 2692. 2693. 2694. 2695. 2696. 2697. 2698. 2699. 2700. 2701. 2702. 2703. 2704. 2705. 2706. 2707. 2708. 2709. 2710. 2711. 2712. 2713. 2714. 2715. 2716. 2717. 2718. 2719. 2720. 2721. 2722. 2723. 2724. 2725. 2726. 2727. 2728. 2729. 2730. 2731. 2732. 2733. 2734. 2735. 2736. 2737. 2738. 2739. 2740. 2741. 2742. 2743. 2744. 2745. 2746. 2747. 2748. 2749. 2750. 2751. 2752. 2753. 2754. 2755. 2756. 2757. 2758. 2759. 2760. 2761. 2762. 2763. 2764. 2765. 2766. 2767. 2768. 2769. 2770. 2771. 2772. 2773. 2774. 2775. 2776. 2777. 2778. 2779. 2780. 2781. 2782. 2783. 2784. 2785. 2786. 2787. 2788. 2789. 2790. 2791. 2792. 2793. 2794. 2795. 2796. 2797. 2798. 2799. 2800. 2801. 2802. 2803. 2804. 2805. 2806. 2807. 2808. 2809. 2810. 2811. 2812. 2813. 2814. 2815. 2816. 2817. 2818. 2819. 2820. 2821. 2822. 2823. 2824. 2825. 2826. 2827. 2828. 2829. 2830. 2831. 2832. 2833. 2834. 2835. 2836. 2837. 2838. 2839. 2840. 2841. 2842. 2843. 2844. 2845. 2846. 2847. 2848. 2849. 2850. 2851. 2852. 2853. 2854. 2855. 2856. 2857. 2858. 2859. 2860. 2861. 2862. 2863. 2864. 2865. 2866. 2867. 2868. 2869. 2870. 2871. 2872. 2873. 2874. 2875. 2876. 2877. 2878. 2879. 2880. 2881. 2882. 2883. 2884. 2885. 2886. 2887. 2888. 2889. 2890. 2891. 2892. 2893. 2894. 2895. 2896. 2897. 2898. 2899. 2900. 2901. 2902. 2903. 2904. 2905. 2906. 2907. 2908. 2909. 2910. 2911. 2912. 2913. 2914. 2915. 2916. 2917. 2918. 2919. 2920. 2921. 2922. 2923. 2924. 2925. 2926. 2927. 2928. 2929. 2930. 2931. 2932. 2933. 2934. 2935. 2936. 2937. 2938. 2939. 2940. 2941. 2942. 2943. 2944. 2945. 2946. 2947. 2948. 2949. 2950. 2951. 2952. 2953. 2954. 2955. 2956. 2957. 2958. 2959. 2960. 2961. 2962. 2963. 2964. 2965. 2966. 2967. 2968. 2969. 2970. 2971. 2972. 2973. 2974. 2975. 2976. 2977. 2978. 2979. 2980. 2981. 2982. 2983. 2984. 2985. 2986. 2987. 2988. 2989. 2990. 2991. 2992. 2993. 2994. 2995. 2996. 2997. 2998. 2999. 3000. |
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Voting Technology Project
stantially more Republican registered voters are labeled "Rep-Leaning," those with substantially more Democratic registered voters are labeled "Dem-Leaning," and those with relative partisan balance are labeled "Competitive." There is a correlation to note in panel D: in general, Republican-leaning counties have lower distributions of presidential residual vote rates than do Democratic-leaning counties. Although this correlation needs further study, it is most likely the reflection that Democratic-leaning counties are demographically different than Republican-leaning counties, with voting populations that are made up of groups that can be more likely to undervote or overvote.
The 2000 Florida election was a shock to the system of election administration, leading to significant election reforms across the country, a large investment of state and federal funds in voting technology and election administration, and the development of the new academic field of election science. However, the financial investment in new technology and improvements in election administration has not continued, election administration has become increasingly complex and costly, and we are at a point where many votes are being lost because of relatively simple mistakes and problems, especially with the rise of convenience voting reforms.
Ironically, although our voting systems are complex and the technology is slow to evolve, we are living through a period of rapid technological adoption, particularly with the explosive growth of generative artificial intelligence. The obvious question is whether AI can be used to improve U.S. election administration.
Through a unique partnership with Washington University in St. Louis, in 2025 we hosted two large convenings of election officials, election scientists, technologists, and other stakeholders to discuss this exact question. We learned that election officials have been slow to adopt new technologies such as AI; running elections in a vast democracy means that they want to use new technologies only when they are 100 percent reliable. Instead, we heard about how election officials were using AI only in relatively limited ways, such as for basic office tasks.
But election scientists need to be moving toward the development and testing
of AI for improving election administration, reducing cost and complexity, and improving the experiences of voters. For example, AI systems are now being tested throughout the nation to automate the signature verification process for mail voting. To improve election administration, these systems should be able to reduce costs, improve the accuracy of signature verification, and contact voters more quickly when there are errors on their mail ballots that can be cured.
AI systems also could be developed to help election officials test and improve election materials. For example, an important task prior to an election is that officials must prepare information and balloting materials for all the elections on the ballot, across different "ballot styles," and in many languages. AI systems need to be developed, tested, and deployed to make this process fast, accurate, and cost effective. These systems should also be designed to alert election officials to problems with ballot layouts and designs. Although ballot design issues have been studied extensively, such as by political scientist Michael Morse of the University of Pennsylvania and his colleagues, these problems can still persist in election materials.
Can technologies be used to reduce the common mistakes we see in voting by mail? One idea is to consider the model of the "interactive sample ballot" available in Los Angeles County: Voters can access their sample ballot on any personal electronic device and mark their selections before going to a vote center by creating a "poll pass" (basically a QR code). Once they arrive at the vote center, and are authenticated, they can use their poll pass at a ballot marking device to obtain a pre-marked ballot. The system prevents overvotes and warns of undervotes. And because voters authenticate themselves in person at the vote center, many of the problems that might lead to a rejected mail ballot (a missing signature, or late-arriving ballot) can be eliminated. Using AI, it might be possible to design similarly secure and private systems to help voters scan information on their ballots or ballot envelopes, to mitigate or prevent by-mail ballot problems.
But with the rise of technology in voting systems, officials need to spend more time on election cybersecurity. The AI company Anthropic recently announced that its Mythos model could be co-opted for cyberattacks. Those who may want
SPECIAL EDITION: 250 YEARS OF SCIENCE AND DEMOCR
Knowledge is in every Country the surest basis of public happiness.” He called on the legislature to promote these goals, such as through institutions of higher learning.
As Washington asserted, basic and applied sciences support the pursuit of happiness that, along with life and liberty, was to be protected and advanced. The conceptual elements of the Scientific Revolution’s enlightened mindset had energized the American Revolution, blazed forth in the Declaration of Independence, and illuminated the way forward.
In the American colonies, Benjamin Franklin was the best representative of the linkage between science and the state. Peale had met Franklin while he was studying painting in London and Peale later made a copy of Scottish artist David Martin’s 1766 “thumb portrait” of Franklin, which depicted him opposite a bust of Isaac Newton in his distinctive reading pose—elbow on desk and thumb on chin—which helped to keep his spectacles focused on the page. As a young man in 1724, on his own trip to London to learn the printing trade, Franklin had tried unsuccessfully to meet Newton, whose revolutionary physics would inspire his subsequent scientific research. Franklin’s theory and experiments regarding electricity, especially his 1752 kite experiment demonstrating that lightning was a form of electricity, established his scientific reputation, which was critical for his political reputation abroad, helping him work in France as an ally. A later French portrait would depict Franklin as a Zeus-like figure, banishing lightning with the help of the goddess of wisdom and commanding the god of war to overthrow avarice and tyranny. The Latin inscription beneath the image proclaims his glory: “He snatched lightning from the sky and the scepter from tyrants.”
John Adams, who served on the Committee of Five that drafted the Declaration of Independence and who later became the second U.S. president, grumbled that the popular imagination had reduced the American Revolution to Franklin’s snatching of the lightning bolt and handing it to Washington to wield. Indeed, many American Founders had shouldered responsibility and shared a scientific mindset. Josiah Bartlett, likely the second sign
S
Newton's laws of motion. Thomson was right in asserting that natural law was thought of more broadly than in the scientific sense at the time, but the debates sometimes missed the forest for the trees. Even if they did not all understand the technical details of Newton's laws, the Founders were absorbing its revolutionary scientific mindset.
According to the influential model of scientific revolutions developed by Thomas Kuhn, the Massachusetts Institute of Technology historian and philosopher of science, scientists work within a normal theoretical structure unless anomalies between a model and observations build up to a point that requires a fundamental change in approach. For example, the Copernican Revolution rejected the model of a stationary Earth at the center of a system of nested spheres in favor of one in which Earth moved around the Sun, but only after an accumulation of anomalies forced what Kuhn called a paradigm shift. One finds a similar pattern in the Declaration's list of grievances highlighting the king's tyranny, such as his refusal to comport with laws that are 'necessary for the public good.' The list's clear implication was that the disconnect between the monarchy and the natural rights of American colonists necessitated a radical break.
Kuhn also described scientific revolutions as gestalt switches, inverting foreground and background, like what happens in visual illusions. The Newtonian Revolution, for example, offered a reconceptualized model of the physical world—a new gravitational physics that governed the planetary spheres. A parallel political gestalt switch was occurring in the public sphere when the Declaration was written. Although incomplete, it too had the markings of a paradigm shift, involving a fundamental change in how political power was represented.
Scientific models seek to better represent natural laws, the cause-effect relations that structure the natural world. Similarly, political philosophers of the era sought a model government better representing the natural rights they believed structured the moral world. Jefferson's broadside was not just a declaration; it accepted a duty to justify the revolution in moral terms. This necessity was an element of the political philosophy of John Locke, the second of Jefferson's trinity, who had articulated the political ideal of government
by consent of the governed. Revolution is warranted if there is a pattern of oppression—'a long train of abuses'—a Lockean phrase Jefferson used verbatim in introducing the colonists' grievances against the Crown. The colonists' complaint against the Stamp Act about taxation without representation is but one instance of this revolutionary ideal.
What such a political conception demands of its citizens is what science demands of researchers. It rejects privileged viewpoints by heredity or birth; evidence, not authority, should determine conclusions. It assumes equality of opportunity for independent assessment of truth; any knowledgeable person can in principle make observations and test them. And it seeks to discover the world; scientific theories aim to represent natural law, not our preferences.
A representative government depends on elected officials to represent not our personal predilections but rather our rational interests, providing a framework to allow our expression of preferences within bounds that will allow others to do the same. In this view, government does not create rights; instead, it represents natural rights inherent in the moral structure of the world. Fundamental rights, as Dickinson put it, 'are not annexed to us by parchments and seals,' but are grounded in 'the laws of our nature.'
The Declaration's notion of natural law encompassed both the physical and the moral; natural rights were taken to be inherent. Philosophical arguments aside, assuming natural rights exist, are they ascertained by reason alone or with the help of a moral sense? Were they created by God, or do they have an autonomous basis? So long as one accepted the Enlightenment idea that reason and reflection allow us to identify such principles, not all of these questions needed resolution. In the Declaration of Independence, Franklin changed Jefferson's original language that these truths were 'sacred and undeniable' to 'self-evident' which sidestepped this issue, but he kept the clause that rights were 'endowed by their Creator.' Jefferson is unlikely to have objected; he and Franklin were both Deists who rejected much of traditional Christianity, holding to a more general notion of God as creator of the world's order.
The Founders held differing personal religious beliefs, but they agreed that
government had no authority over such operations of the mind. Jefferson's reasoning was representative. He wrote in Notes on the State of Virginia: 'The legitimate powers of government extend to such acts only as are injurious to others. But it does me no injury for my neighbour to say there are twenty gods, or no god.' Washington's 'Letter to the Hebrew Congregation in Newport, Rhode Island' highlighted this 'liberty of conscience' as an American policy worthy of imitation. Freedom of religious expression was not to be a 'toleration' or an 'indulgence,' but rather the exercise of 'inherent natural rights.' The U.S. Bill of Rights, ratified in 1791, formalized this and other key freedoms, even those not enumerated, within the Constitution.
The process of determining a proper set of political rules for the government of a pluralistic society was a necessary step after the war, because these rules were to be the foundation for the future happiness of the nation's citizens. In his diary, Adams reflected on the importance of order, system, and plan, and on their application for new experiments and laws: 'He who has a Faculty of combining all these into Rules, for the Government of Society, to procure Peace, Plenty, Liberty, has a great political Genius.' Writing to his wife Abigail in 1780, he said that it was his duty to study politics, war, and negotiation so that their children might have liberty to study mathematics and the sciences, to give their grandchildren the right to study painting and the arts. For him, to procure these benefits, his own first duty was to 'the science of government.'
A methodological commitment to scientific investigation into truths of nature is essential for peaceable government: Neither freedom nor justice can be successfully conceptualized or defended without it. Liberty, Equality, Reality! should be the tripartite motto of a well-ordered State. The Founders, because they held rights to be part of the lawful structure of the world, thought that these were the foundation for building a functional government, but they also understood there were many possible implementations of these rights. On such a theory of government, the Constitution may be seen as a political hypothesis.
Rush, during the 1787 Constitutional Convention, said that 'Government is a science,' so representatives needed time to acquire the requisite knowledge
through experience; he recommended longer terms of office than the proposed three-year limit, so that they could develop their qualifications. The rules for officeholders had to be determined. What balance of powers would best prevent the return of tyranny? Would a unicameral or bicameral system be more stable? What system of checks and balances could prevent a president from becoming a king? The Founders vigorously debated, often using scientific analogies, about which model would best represent the natural ideals. Dickinson had offered his Solar System analogy to recommend his model of the balance to strike between empowering states versus the central government.
Testing these options may be seen as a political version of the scientific mindset and experimental method that Francis Bacon had pioneered. Bacon was Dickinson's intellectual hero and was, as Dickinson opined in his diary, 'the greatest Man that ever lived, whose Mind was reckoned a Counterpart to Nature.'
The Founders held differing personal religious beliefs, but they agreed that government had no authority over such operations of the mind.
Jefferson held a similar opinion; for the trinity he commissioned, he wanted Bacon in the top spot of the triangle of portraits. Jefferson was optimistic about the success of Baconian methods, as he wrote in a letter to Benjamin Waterhouse of Harvard University: 'When I contemplate the immense advances in science and discoveries in the arts which have been made within the period of my life, I look forward with confidence to equal advances by the present generation, and have no doubt they will consequently be as much wiser than we have been, as we than our fathers were.'
Washington also spoke of 'the science of government' in his last annual address to Congress as part of his argument for establishing a national university. He reiterated this call in his 1796
SPECIAL EDITION: 250 YEARS OF SCIENCE AND DEMOC
The Founders saw the science of government and the possibility of its moral progress in the same light. Jefferson opposed frequent changes in constitutions, but he argued in a letter (using words now inscribed on the Jefferson Memorial) that “laws and institutions must go hand in hand with the progress of the human mind. As that becomes more developed, more enlightened, as new discoveries are made, new truths discovered and manners and opinions change, with the change of circumstances, institutions must advance also to keep pace with the times.”
Washington believed that the value of the Constitutional union would be apparent “to every reflecting and virtuous mind,” who should therefore distrust false patriots who might try to weaken it or try to divide its members against one another, as he wrote in his Farewell Address. The revolution against despotic power is always incomplete. Citizens must continue to test and reinforce the strength of their system of laws to preserve a true government for the whole. “Is there a doubt,” he said in his address, “whether a common government can embrace so large a sphere? Let experience solve it. . . . We are authorized to hope that a proper organization of the whole . . . will afford a happy issue to the experiment. It is well worth a fair and full experiment.” To keep the Revolution moving forward, it behooves us to recommit ourselves to the scientific mindset that sparked and grounded it.
Calvert, J. E. 2024. Penman of the Founding: A Biography of John Dickinson. Oxford University Press.
Cohen, I. B. 1995. Science and the Founding Fathers: Science in the Political Thought of Jefferson, Franklin, Adams, and Madison. W. W. Norton.
Kuhn, T. S. 1962. The Structure of Scientific Revolutions. University of Chicago Press.
Pennock, R. T. 2019. An Instinct for Truth: Curiosity and the Moral Character of Science. MIT Press.
Sellers, C. C. 1969. Charles Willson Peale. Charles Scribner’s Sons.
Thomson, K. S. 2012. Jefferson’s Shadow: The Story of His Science. Yale University Press.
Robert T. Pennock is Sigma Xi Senior Fellow for Science and Engineering Values and University Distinguished Professor Emeritus at Michigan State University. His research involves both empirical and philosophical questions that relate to evolutionary biology, cognitive science, and the scientific character virtues. Email: rpennock@sigmaxi.org
I (EEG) graphs that show the brain activity of experiment participants as they listened to a series of artfully constructed clauses and phrases. Sentences can be informative, imperative, or interrogative; they can even be beautiful. But they can also be highly suspect—the lexical equivalent of a suspicious package, concealing toxic assertions or volatile presuppositions.
Hidden meanings are tricky things. We've all experienced that momentary mental tension or comprehensive stumble as we listen to someone talk and something they say, or something in how they say it, feels off. We might not be conscious of it, but the parts of our brain that deal with language processing catch it nonetheless. That's what these EEG graphs of voltage potential and stimulus-response latencies reveal to a neurolinguist: the extra effort exerted by certain areas of the brain as it works harder to unpack meaning, resolve inconsistencies, and update memory. Understanding which specific aspects of these troublesome statements trigger such reactions—strange word combinations, odd sentence structures, suspicious facts—brings us ever closer to comprehending ourselves and safeguarding our minds from verbal manipulation and pernicious online content.
What kinds of statements are we talking about? To borrow an example from British philosopher Bertrand Russell, consider the sentence, 'The present king of France is bald.' Anyone paying attention to the history of the past 150 years or so knows that France has no
of a present king of France) makes our brains work harder, tricking us into thinking that this false assumption is information we are expected to already know. Our brains compare the 'fact' of 'the king' with our memories of France and, if convinced, might even update that memory falsely. This example is relatively harmless, but it isn't difficult to see how such presuppositions might be used to influence voter opinion or witness testimony or, put another way, to manipulate our minds. By learning to recognize these tricks and traps and how our brains respond to them, we not only can teach ourselves to resist their effects, we can also improve our education systems.
Although many animals communicate through sounds or gestures, the human capacity for complex, structured, symbolic, and endlessly inventive language sets us apart as a species. Indeed, the notion that humankind owes much of its success and ability to spread across the Earth to verbal language is so deeply ingrained that we have cultural myths about confounding human progress by confusing people's languages, such as in the Biblical story of the Tower of Babel. Similarly illustrative of the importance placed on language are nationalistic myths that exalt a particular ethnic group or nation as being the source of all language. In Turkey in the 1930s, for example, President Mustafa Kemal Atatürk and his supporters promoted the Sun Language Theory, which claimed that Turkish was such an Ur-language.
ment of a language faculty conferred even greater advantages by making the cognitive and neural architecture of our brains increasingly more complex and suitable to different socializing functions. Language and the brain constantly influence each other when we interact with external reality, engage in conversations, make decisions, and cooperate with other humans to achieve goals. In this way, verbal language became an indispensable tool for regulating interactions between people in different communicative contexts, and for ensuring the preservation and transmission of culture from generation to generation.
The importance of the interplay between brain and language processes is evident in the gradual changes the brain has undergone to master such increasingly complex linguistic tasks. Understanding those changes has been the work of many researchers for more than a century, and has required the development of particular techniques to study certain areas of the brain.
For a long time, the structure and nature of human language has been mostly investigated by looking at data from natural languages, that is, languages actually used by humans (as opposed to, say, languages generated by AI models). This research has notably explored the traits that differentiate one language from another (linguistic parameters) and those
The complex neural connections of the human brain involved in language, collectively called the connectome, have been mapped in detail, as shown here. The emergence of language influenced the evolutionary formation of our brains, and the two-way interaction between language and how we think has been essential to the development of culture and society. Unfortunately, the brain's linguistic hardware is vulnerable to manipulation.
that are assumed to be shared by all languages (linguistic universals). Although some EEG responses may be universal across languages, others differ due to language-specific structures. Universals, if they exist, likely revolve around broad mental processes common to all humans, such as allocating attention, noticing inconsistencies or unexpected meanings, or updating context. Ultimately, we simply do not yet have enough side-by-side comparison studies between languages and associated phenomena to say for certain.
The first inquiries into the relationship between language faculty and brain structures were conducted through postmortem examinations and mainly concerned research into aphasia, a language disorder that affects communicative abilities to different degrees. Aphasia-related linguistic impairments may originate from selective damage
or lesions in brain areas controlling language production or comprehension. Two well-known cases believed to have inaugurated research into the neurology of language involved two aphasic patients whose brains exhibited localized lesions taken to be the cause of specific language impairments.
The first case involved a French man, Louis Victor Leborgne, who was treated in 1861 by French surgeon and anthropologist Paul Pierre Broca. Broca studied the expressive deficits in his patient until Leborgne's death several days later. For almost 20 years, from the age of 30, Leborgne could only pronounce the syllable 'tan,' which earned him the nickname 'Monsieur Tan.' Aside from this linguistic limitation, all of Leborgne's other cognitive faculties, including hearing, comprehension, and calculus (internal computation, evaluation, or weighing of factors), had remained intact. Broca's
Courtesy of Omniscient Neurotechnology's Quicktome®
postmortem examination of Leborgne's brain revealed a profound lesion in the posterior inferior frontal gyrus of the left hemisphere (see figure on page 236). This area of the left frontal lobe—now called Broca's area—corresponds to the premotor cortex, which is responsible for planning, controlling, and executing voluntary actions. Because of his brain lesion, Leborgne was no longer able to govern the facial movements and speech organs needed to convert concepts into grammatical strings of words.
A few years later, German neurologist Carl Wernicke investigated an almost opposite case: a patient with a comprehension deficit who could speak fluently but who failed to mentally represent the meanings of words and sentences (a condition now called Wernicke's aphasia). After the patient's death, Wernicke noticed an injury in the decedent's superior temporal gyrus of the left hemisphere, not far from Broca's area. This observation supported the hypothesis that the structure now called Wernicke's area controls comprehension abilities (see figure on page 236).
Stephanie Freese
Certain sentences can trick our brains into deceiving themselves by filling in implied or presupposed information. Here, a listener tries to make sense of the sentence, “The present king of France is bald.” The use of the definite article “the” implies that the listener should already know the (false) fact that France has a king, which could lead them to update their memory with this implied information.
These discoveries by Broca and Wernicke marked the beginning of research that would uncover a functional asymmetry affecting the brain’s two hemispheres. For around a century and a half, they and other scientists advanced the idea that the language
Holism, Localization, and Mapping The development of noninvasive techniques for studying neurological activity has been aided and informed by our ever-evolving understanding of how and where certain functions are handled in the brain. Within neuroscientific re-
century by American behaviorist Karl Lashley (1890–1958) and German neurologist Kurt Goldstein (1878–1965), the brain can compensate for damage to one area through the activity of other areas. The localizationist approach, endorsed by German neuroscientist Korbinian Brodmann (1868–1918) in the early 1900s, held that physical differences between brain areas correlate with specific functional limitations. Moving from this latter premise, Brodmann pinned down approximately 52 functionally distinct areas based on brain cell organization, layers, and architecture.
Coloring in these broad outlines, and unseating the left hemisphere as the perceived sole repository of language production and comprehension, required new evidence from improved tools. Indeed, the advent of brain imaging techniques revealed the important role played by the right hemisphere in understanding the relationship between language and context, including such faculties as inference, emotional content, and metaphor.
The most common methodologies used in neuroscientific approaches to language processing are EEG and magnetoencephalography (MEG), which respectively record electrical activity in the brain and the magnetic fields it generates. Both techniques can register neuronal activity corresponding to stimulation by specific cognitive events, such as seeing an object or decoding a message. Moreover, EEG and MEG each offer extremely high temporal resolution. They can measure brain activity changes on the order of milliseconds, which makes them highly suitable for studying the brain’s swift progression through several rapid language-processing stages.
Other techniques monitor brain activity by looking at hemodynamics, phenomena involving blood circulation that reveal which brain areas are more strongly involved when a participant attends to a stimulus. These methods include functional magnetic resonance imaging (fMRI), which measures changes in oxygenated blood flows during the execution of a task; positron emission tomography, through which brain activity can be monitored by looking at the spatial distribution of radioactive tracers (and often metabolic indicators); and near-infrared spectroscopy, which analyzes how biological tissues respond
By default, the brain tends to accept presuppositions without questioning them—it constructs meaning first, and then (sometimes) checks accuracy later.
faculty was mostly controlled by the left hemisphere. This model of left-hemisphere language dominance has held sway ever since, although recent research has begun to refine this view. Such a nuanced understanding has made possible the gradual establishment of a solid theoretical grounding in the field and the development of the technology needed to test key hypotheses on living patients.
search, brain functions have been investigated from two main perspectives, usually referred to as holistic and localizationist. The holistic view says that brain functions result from the synergistic activity of different regions of the cortex, whereas the localizationist perspective holds that those functions involve the activity of neatly delimited regions.
According to the holistic view, chiefly advocated in the early to mid-20th
to light in the near-infrared spectrum, a further indication of changes in hemoglobin and blood oxygenation. In addition to these blood-based imaging techniques, transcranial magnetic stimulation lets researchers fire up brain activity by using a magnetic coil to administer short but powerful magnetic pulses through the skull.
Compared with EEG, other neurophysiological techniques are more difficult to use in experiments on language processing. They are generally more expensive; therefore, experimenters need to rely on facilities external to their universities. Moreover, because each technique has a particular way of measuring language processing, the linguistic stimuli used for a given experiment must be adjusted and calibrated to match the constraints imposed by the machine. For example, stimuli suitable for EEG, which has higher temporal resolution, may prove less appropriate for fMRI, which provides higher spatial resolution and less precise temporal resolution. In addition, some techniques are more sensitive to the movements of the experiment participant, and therefore the resulting signal is more susceptible to recording “noise.” These unwanted phenomena generate artifacts, that is, parts of the signal that do not reflect the effect to be observed.
More recent experimental designs aim to come as close as possible to how linguistic messages are processed during a real conversation. Unfortunately, the measurement parameters imposed by each imaging technique make reaching this goal difficult, though not impossible. But even our current technologies allow us to move well beyond lesion studies and inferential behavioral experiments to observe brain activity directly and seek out the telltale signs of mental encoding. Now we can seek out timing patterns and witness moments in which the brain responds to sentences by recognizing words, parsing syntax, or trying to construct meaning. These functions are all key aspects of how language is processed and stored—and of how tricky constructions can slip false facts by us.
The current panorama of neurolinguistics studies draws substantially from contributions made possible by the advent of EEG. Much of this work
Chorus/Mononomic/Wikimedia Commons
This diagram shows a classic event-related potential (ERP) waveform—an electroencephalograph of changes in a brain’s electrical activity following a stimulus. Plotting negative as “up” is somewhat arbitrary and reflects the placement of the active and reference electrodes. Patterns of negative (N) or positive (P) peaks hint at specific processes, such as being surprised by sentence content. Using this approach, the field of neurolinguistics has produced considerable evidence supporting a correlation between certain positive and negative deflections and different types of language processing, as well as the effort required for processing.
takes advantage of EEG’s versatility, which lets it be used with a variety of linguistic stimuli. The resulting search for signatures assumes that language processes can be mapped onto spe-
But how can language-related brain processes be measured? The first inquiries into the brain mechanisms that make language possible, such as behavioral tasks and reaction
cific cognitive and neural structures based on measured, systematic brain responses. In other words, neurolinguists are seeking a kind of Rosetta Stone that correlates electroencephalograph patterns with the brain processing a particular linguistic stimulus, be it a word, a phrase, or a sentence or its structural characteristics.
times, relied on procedures developed within experimental psychology and, later on, the field of neurology, which is where most of our present-day knowledge on the brain-language interface originated.
Although much of our spatial and structural knowledge derives from fMRI, MEG, and lesion studies, the
Paul Pierre Broca
Carl Wernicke
Wellcome Collection, J. F. Lehmann, Munich; James.med.nz/Wikimedia Commons, Leborgne et al. Brain 130:1432
Two pioneers of neurolinguistics, French surgeon Paul Pierre Broca (upper left) and German neurologist Carl Wernicke (upper right) identified relationships between brain structures and language through postmortem examinations of people who had language disorders. Broca tied a patient's inability to say anything but the syllable 'tan' to a profound lesion in a brain area linked to voluntary actions (bottom photo, left side), now called Broca's area (middle diagram, blue). Wernicke linked a patient's inability to mentally represent the meanings of words and sentences to an injury in a different left-hemisphere region, now called Wernicke's area (middle diagram, green).
analysis of the brain signatures of language processes has mainly been conducted using EEG techniques, which allow measuring both patterns of brain oscillations (also known as brain rhythms) and time-dependent components such as waveforms developing within specific time windows, called event-related potentials (ERPs). ERPs generally manifest as waveforms with positive or negative voltage deflections. These upswings and downswings generate telltale bumps and dips (known as components) that are identified by a latency (the time elapsed between the onset of a stimulus and its elaboration by the human processor), a positive or a negative polarity (a direction of voltage change
in response to a stimulus, such as a word), an amplitude, and a scalp distribution (a pattern of electrical activity roughly indicating where brain response is strongest—see the diagram on page 238).
As shown in the diagram on page 235, an EEG graph contains several components, each typically named for its polarity (N for negative, P for positive) and its latency in milliseconds. These windows of time roughly correspond to known events: 0–100 milliseconds is the window for basic sensory detection; 100–250 is the timing of perception and attention; and 250–500 is when higher-level thinking and decision-making occur. The result are labels such as P300, N200, P600, or N400.
To be clear, the peaks and valleys of these waveforms should not be thought of as corresponding to regions of greater or lower activity in the brain. Rather, they are patterns of synchronized brain activity that have been experimentally tied to specific mental processes. Nor should they be imagined as pointing to individual neurons. They are more like the effect of an orchestral performance rising above the static of a poor radio signal: The static may still drown out some of the background music, but some instruments and voices stand out and are clearly recognizable. Moreover, positive and negative here mean the direction of current at the electrode, not more or less activity. The field of neurolinguistics has thus far produced considerable evidence supporting a correlation between certain positive and negative deflections and different types of language processing, as well as the effort required for processing.
The first scholars to notice this connection were Marta Kutas of the University of California, San Diego, and Kara D. Federmeier of the University of Illinois Urbana-Champaign. In the 1980s, they discovered that a negative component called N400 tended to be elicited by words in a sentence bearing anomalous or unexpected meanings. So, for example, when experiment participants read a sentence such as, 'She ate bread with socks,' quite prominent peaks of the N400 component occurred on their EEG signals.
In subsequent studies, N400 strongly correlated with the detection of anomalies in the meanings of words or sentences (the semantic level), as well as in the particular packaging of some information received in a sentence. For example, a phrase like 'my white car'—which presupposes the fact that I have a white car—will elicit a stronger N400 effect if that referent is not yet shared in the conversation. Conversely, the same neurological effect will be weaker if my possessing a white car is asserted, as in 'I have a white car.' This disparity indicates that the presupposition of new information causes a mismatch in the processing instruction dispensed to the addressee: The addressee receives the presupposition with the indication of treating it as already shared, when in fact it is not yet part of the common background knowledge. This suggestion
imposes a revision of former expectations with additional processing costs.
Over the past 10 years, neurophysiological research (mostly conducted using EEG) has contributed profoundly to revealing how the human brain constructs meaning in context. Among other things, this work has examined how speakers convey meanings behind other meanings, or how they leave some contents implicit by resorting to strategies such as implicatures (intentionally hidden meanings) or presuppositions (contents taken for granted in an interaction). I have discussed these concepts in a previous article (see “The Art and Science of Manipulative Language,” September–October 2022), but here I intend to delve more specifically into the brain activity related to these tricky elements and what we can learn from such activity about how the brain processes language.
One 2016 study by neurolinguist Valentina Bambini of the University School for Advanced Studies in Pavia, Italy, and her team illustrated how the brain responds to nonliteral and implied meanings. In it, researchers recorded the EEG activity of study participants who were presented with metaphors and their equivalent literal expressions in different frameworks, such as contexts containing cues to metaphorical interpretation and contexts without such cues.
For example, some of the participants read context-statement pairs such as, “Do you know what that fish is? A shark.” (This usage of “shark” is literal.) Others were presented with pairs such as, “Do you know what that lawyer is? A shark.” (This usage of “shark” is metaphorical.) Overall, metaphor comprehension was associated with larger amplitudes in the N400 and P600 components, which respectively indicate increasing difficulties in disentangling the metaphor’s nonliteral content (N400 effects) and the effort required to update the current mental model of the discourse (P600 effects).
Recently, fMRI has been used to investigate brain activity in response to certain types of implicated meaning—hidden meaning that the listener is led to infer. In a 2022 study, neuroscientists Shiri Hornick and Einat Shetreet of Tel Aviv University in Israel presented their experimental participants with sentences such as, “She walked Lassie,” embedded in a context that allowed deriving the inference that only
Recent neurophysiological research has examined how speakers convey meanings wrapped in other meanings by resorting to strategies such as metaphors, implicatures (intentionally hidden meanings), or presuppositions (content taken for granted in an interaction). EEG and fMRI results have shown that such sentences produce telltale activity patterns in the brain as it tries to make sense of nonliteral content and update its mental model of what is being discussed.
Lassie (and no other dog) was walked. The authors noticed that this type of implicit meaning activated brain areas called the rostrolateral prefrontal cortex (which they associated with inference generation) and the right inferior parietal lobule (possibly correlating to theory of mind abilities—that is, capacities such as attributing mental states to other individuals and shifting attention from one stimulus to another according to the task).
Earlier, in papers published in 2017 and 2018, I reported particular electroencephalograph components that
ing”). In each case, the existence of an entity or an event is expressed as if it were already shared knowledge.
In the two experiments reported in those papers, whenever the presupposition involved unshared content (data that was not in the receiver’s mind), we observed more pronounced N400 effects. In one of the two studies, more prominent peaks in the N400 component were followed again by P600. In the scientific literature, P600 has also been associated with increasing difficulty in the analysis of syntactic structures, with processing repairs (or corrections) in
were elicited when participants processed presuppositions in utterances. As already seen, presuppositions are triggered by specific lexical units and constructions, including definite phrases (nouns preceded by definite articles, such as “The gift”); subordinate clauses (“When that building was demolished . . .”); and verbs indicating a change of state (such as the word “stopped” in “John stopped smok-
cases of grammatical anomalies (for example, the subject-verb disagreement in “The boys eats the ice cream”), and more recently with the update of one’s mental representation of discourse information, that is, information forming part of the preceding linguistic context.
As an example of the relationship between P600 and the difficulty of sentence analysis, consider the observation by neurolinguist Petra B. Schumacher of
the University of Cologne in Germany that a noun phrase such as “the chief” is costlier to process when it is preceded by another sentence that does not contain the same piece of information. In an EEG of a participant who hears someone say, “I’m going shopping now. The chief will not know this,” the presupposition “the chief” will show greater
them—it constructs meaning first, and then (sometimes) checks accuracy later. This situation arises because the brain is built for efficient and coherent analysis. Unfortunately, this tendency lends itself to speakers subtly introducing assumptions and listeners potentially accepting them uncritically. It is not difficult to see how this aspect of brain function might
representation in the brain. This line of study began in the 1970s in the cognitive psychology field, notably in the research of psychologist Elizabeth F. Loftus of the University of California, Irvine.
Loftus investigated how presuppositions associated with false information induce recipients to mentally represent that information as true, thereby incorporating false details into memory. In one test, Loftus showed a short film to some participants and then asked comprehension questions. Some of these questions contained false presuppositions; they might have asked, “Where was the road sign with a picture of a bridge?” when no such sign was shown. Other questions, which contained false assertions, might instead have asked, “Was there a road sign with an image of a bridge?” Participants were only able to recognize false information that was asserted, whereas assumed or presupposed information was treated as true.
Loftus’s research was a major contributor to the study of cognitive psychology and memory, and it was an inspirational if not literal forerunner to many experimental linguistics studies focused on identifying cerebral and attentional responses to manipulative communication. More broadly, the phenomenon of presupposition has been widely studied in relation to propaganda discourse and all kinds of persuasive communication.
P600 amplitudes than if they had instead heard the question, “Have you seen the chief in the office?” followed by the reply, “No, the chief has left for England today.” The need to update the mental model of the discourse correlates with higher P600 peaks because the brain requires additional effort to update its mental model when information is new and presupposed.
Concerningly, research shows that these updates need not be factual. By default, the brain tends to accept presuppositions without questioning
be leveraged when framing topics, making persuasive arguments, or spreading misinformation. It is equally clear that citizens and consumers would benefit from knowing these tendencies and would do well to keep them in mind.
Many recent studies on language processing have attempted to understand how the human brain responds to different kinds of linguistic manipulation, particularly how different ways of packaging information can influence its
An important development in this line of research concerns the didactic dimension, specifically the possibility of instructing citizens on how certain communication strategies can subtly instill information in our minds at a level below our conscious attention. As part of one experiment at Roma Tre
ence proved particularly useful because it was aimed at students close to the voting age, and it guided them in decoding the implicatures and presuppositions that often lurk in political messages.
The data obtained from such experiments could prove useful in designing exercises and educational paths that
guage learning, potentially making such instruction more effective, scientifically based, and responsive to the cognitive style of the learner. In this way, I believe that neurocognitive language studies can offer a valid reference and useful tool for the design of teaching materials that will increase the effectiveness of education in all its forms.
University, we offered training courses to high schoolers on how to recognize manipulative communication in different genres of persuasive text. Following a theoretical session in which manipulative phenomena such as presupposition, implicature, and vague and figurative language were presented and exemplified in some common uses, students were asked to identify these phenomena in different text types, as well as to produce them. For example, after presenting a sentence type similar to Coca-Cola's 2009 slogan, "Open Happiness," we asked students questions such as, "What implicit content can you find in this message?" and "What presuppositions and/or implicatures are conveyed in this message?" Successful students pointed out that the slogan not only presupposes that happiness can be found inside a Coke bottle, but that it also implies that a person who consumes the soft drink will feel happier.
As revealed by post-training tests, students displayed significant improvement in detection of presuppositions, and they improved their abilities to reflect metalinguistically on messages containing between-the-lines content. Such improvements are common when people receive language-focused learning. These results tell us that implicit language detection can be taught with a structured and well-grounded training; that different types of implicit meaning may call for different exercise types; and that teaching how to detect implicit language may enhance students' text-comprehension abilities in the long run and keep them from falling victim to distortive uses of language. This experi-
leverage the processing mechanisms discussed in this article. Unfortunately, neurocognitive evidence on human language processing remains little used in the field of educational experimentation; neither the teaching and learning of foreign languages nor that of specific communication phenomena (including presuppositions and implicatures) follow cognitively based paths. In other words, modern education techniques do not reflect the way our brains decode language and fix such data in our memory. It seems reasonable that ignoring the specific cognitive determinants that lie at the base of the human understanding of communication leads to slower and generally less effective memorization processes, frustrating the efforts of both teacher and learner.
I have made these ideas the focus of a nascent research project called R.A.I.S.E. (Raising Awareness on Implicit linguistic Strategies in Environmental discourse). Although it is too soon at this exploratory stage to foresee all the variables involved in the planning of more-structured learning paths, I hope one day to gather enough data to develop syllabi that can be structured to meet different learning needs. Above all, I hope to address the various strategies of cognitive information processing, precisely calibrating learning objectives in order to improve the students' chances of achieving their learning goals.
Knowing the phenomena that characterize the relationships between language and the brain opens a window on the complex ways in which we interact with our fellow humans. This knowledge lends itself to being applied to lan-
Bambini, V., C. Bertini, W. Schaeken, A. Stella, and F. Di Russo. 2016. Disentangling metaphor from context: An ERP study. Frontiers in Psychology 7:559. Brocca, N., V. Masia, and D. Garassino. 2024. Empowering critical digital literacy in EFL: Teachers' evaluation of didactic materials involving the recognition of presupposed information. Language Teaching Research. DOI:10.1177/13621688241235019. Burkhardt, P. 2006. Inferential bridging relations reveal distinct neural mechanisms: Evidence from event-related brain potentials. Brain and Language 98:159-168. Domaneschi, F., P. Canal, V. Masia, E. L. Vallauri, and V. Bambini. 2018. N400 and P600 modulation in presupposition accommodation: The effect of different trigger types. Journal of Neurolinguistics 45:13-35. Giunta, G., and V. Masia. 2025. Raising awareness about implicitizing strategies in upper secondary school pupils. In Unlearning Languages That Control the Mind, first edition, ed. V. Sutanovac, pp. 67-78. Routledge. Hagort, P., and S. C. Levinson. 2014. Neuropragmatics. In The Cognitive Neurosciences, fifth edition, eds. M. S. Gazzaniga and G. R. Mangun, pp. 667-674. MIT Press. Hornick, S., and E. Shetreet. 2022. Pragmatic inferences: Neuroimaging of ad-hoc implicatures. Journal of Neurolinguistics 64:101090. Kappenman, E. S., and S. J. Luck, eds. 2012. The Oxford Handbook of Event-Related Potential Components, first edition. Oxford University Press. Kutas, M., and S. A. Hillyard. 1980. Reading senseless sentences: Brain potentials reflect semantic incongruity. Science 207:203-205. Loftus, E. F. 1975. Leading questions and the eyewitness report. Cognitive Psychology 7:560-572. Masia, V. 2017. Sociobiological Bases of Information Structure. John Benjamins Publishing. Masia, V. 2021. The Manipulative Disguise of Truth. John Benjamins Publishing. Masia, V., P. Canal, I. Ricci, E. L. Vallauri, and V. Bambini. 2017. Presupposition of new information as a pragmatic garden path: Evidence from event-related brain potentials. Journal of Neurolinguistics 42:31-48. Russell, B. 1905. On denoting. Mind 14:479-493. Sbisà, M. 2007. Detto non detto. Laterza.
Viviana Masia is associate professor of linguistics at Roma Tre University in Italy. With editor John Benjamins, she published Sociobiological Bases of Information Structure in 2017 and The Manipulative Disguise of Truth in 2021. Email: viviana.masia@gmail.com
A side—even after its entire head has been surgically removed. This strange fact was no surprise in 1853 when a young German physiologist named Eduard Pflüger published his findings; researchers had long known that many reflexes are preserved in brainless vertebrates. But Pflüger's experiment became a blockbuster because of what happened next.
In a second step, Pflüger also amputated the frog's favored wiping leg and then reapplied acid in the same place on the animal's side. If the first wipe was a blind reflex, the beheaded frog should now simply wave around its amputated stump. Instead, after a brief period of waving, the frog tried a different technique—it wiped with its sound leg. Pflüger repeated the experiment dozens of times, and other experimentalists confirmed his observations. Eventually, decapitated frogs were reported to produce a whole range of ingenious responses to irritation when the favored wiping foot was impeded, including rubbing against other available objects.
These results were perplexing because the frog's response was purposive—it involved working through different means to achieve an end—and purposive behavior had long been regarded as evidence of consciousness. Yet Pflüger had removed the entire head of his frogs, using scissors to cut just below the medulla oblongata, a structure at the base of the brain stem. (If cared for properly, frogs can survive in this and similar conditions, as can many birds, snakes, and reptiles.)
critics simply rejected purposive behavior as a marker of consciousness. Which side was right?
Today, researchers are still debating how to determine which beings are conscious, especially in gray area cases such as insects, artificial intelligence systems, and human patients in a vegetative state. As in the 19th century, many present-day philosophers and scientists rely on ostensible markers of consciousness, such as purposive behavior or the ability to learn or play, but they face the same conundrum Pflüger did. They can run experiments to test whether a creature demonstrates any number of behaviors, but to know whether a given behavior is a meaningful marker for consciousness—a good measurement criterion, as it is sometimes called—they need to test whether the potential marker actually correlates with conscious creatures. To run this test, however, they need a reliable criterion for separating conscious from nonconscious creatures. But such a criterion is the very thing they are trying to test in the first place.
In consciousness science, this conundrum has a name: the measurement problem. Researchers remain entangled in the debate despite an explosion of consciousness-related research on a wide range of organisms, including octopuses, bees, and hermit crabs. But perhaps one way to move forward is to look to the past.
Consciousness is notoriously difficult to define. By the 1850s, the Scottish
than 15 different meanings of the term. Today's scientists and philosophers are scarcely closer to a consensus as to what it means to be conscious. (See 'Consciousness: The Road to Reductionism,' March–April 2025.)
In 1974, the American philosopher Thomas Nagel offered one approach in his influential article, 'What Is It Like to Be a Bat?' A creature is conscious, he argued, if it has subjective experience in the sense that there is 'something it is like' to be that creature. Nagel's 'something it is like' definition was designed to highlight the limits of the empirical study of consciousness. Even if researchers understood bat neurophysiology perfectly, they still wouldn't understand what it's like to be a bat, he thought, and so they wouldn't fully understand bat consciousness. Others have proposed more objective definitions of consciousness, such as the capacity to integrate the kinds of information neural signals can encode, or to make that information broadly available for guiding action. But all these definitions remain somewhat controversial.
There is a separate but equally important debate about which animals or systems are conscious. Even without agreeing on a hard-and-fast definition, increasing the consensus as to who or what is considered conscious could help researchers navigate many social issues—from the ethical treatment of lab and farm animals, to support for nonverbal patients with brain trauma, to our quickly changing relationship with AI. From an evolutionary per-
Emma Skurnick
In the 19th century, researchers conducted experimental studies of consciousness by observing the behavior of living frogs after removing parts of their brains, or even their entire heads. The American psychologist William James noted that although a frog without cerebral hemispheres (shaded gray) still displayed remarkable balance, it would react mechanically and inflexibly to environmental change. For example, when James tilted his hand sharply downward, the frog always walked back up his hand, never jumping off. Intact frogs are not so predictable.
spective, determining which organisms are conscious could also help researchers understand which branches on the tree of life contain minds, when minds evolved, and why.
Back in the 19th century, Pflüger helped to pioneer experimental methods for testing which physiological functions are associated with consciousness. In his era, many scientists already used vivisection—surgery on live animals—to pinpoint the parts of the brain or nervous system that control specific bodily functions. These ablation (surgical removal) studies tested which functions cease with the destruction or disconnection of specific nervous structures. For example, a frog whose cerebellum has been destroyed loses the capacity to hop, but only if its medulla oblongata is destroyed or disconnected will it also lose the capacity to regain normal posture when placed in an odd position, such as on its back.
The application of these methods to the study of consciousness proved more difficult, however. After some brain structure is destroyed, we can directly observe whether a frog still hops when poked with a stick, but we cannot peer into its mind to see whether the frog is conscious. Instead, researchers often appealed to observable behaviors that might indirectly indicate the presence of consciousness, such as spontaneous movement or purposive behavior. Some also looked for anatomical clues, such as intact cerebral hemispheres.
Inevitably, each researcher favored consciousness markers that fit their own broader theoretical and philosophical views. Pflüger can be considered a vitalist, someone who doubted that purely physical mechanisms are enough to explain all animal behavior. A proper mechanism must go through the same output phases given the same input, regardless of whether a goal is
or is not achieved. But what Pflüger called “movement aroused by thought” seemed to him fundamentally different.
To understand this view, imagine a woman walking toward an apple tree while her mechanical watch keeps time. If she winds the watch and a gear seizes, the mainspring will still put pressure on the gear train, even though the time-keeping function will be lost. Same input, same output, regardless of whether the watch is serving its purpose. But if the woman encounters an obstacle, she simply chooses a different path. Same input—she still sees the tree—but with a different output—she varies her path.
Hence, vitalists such as Pflüger contended that not all behavior is mechanistic. Purposive behavior, in particular, seemed not to conform to the “same input, same output” principle that governs machines. Such behavior could only be achieved with the aid of consciousness, Pflüger contended. He, therefore, had theoretical reasons—vitalist reasons—for treating purposive behavior as a measurement criterion for consciousness.
Pflüger’s allies added other behavioral markers that fit a similar philosophical outlook, such as spontaneity (the ability
to initiate action without stimulation) and learning (the ability to adjust current behavior in light of past experience). The English philosopher and physiologist George Henry Lewes, for example, identified learning as a consciousness marker, which he justified by imagining a purely mechanical dog interacting with a generous beggar on the street. It is inconceivable, he asserted, that such a dog could “bark one day at the beggar and the next day wag his tail, remembering the food and patting that beggar had bestowed.” In contrast, a conscious dog could learn from past kindness. Same input, different output.
Lewes also developed a related metaphysical view that biological and psychological phenomena, including full consciousness, “emerge” from increasingly complex organizations of physical matter, such as in a nervous system (even without a brain). Neither he nor Pflüger denied that living systems are made of ordinary physical
an attractive breadbasket of consciousness markers.
Vitalism was part of a backlash against a rival view of nature, mechanism, which was widespread in 19th-century physiology. Mechanists sought to explain living function with nothing more than the “processes already revealed by the study of lifeless nature,” as the English psychologist and physician Charles Myers put it.
The mechanistic approach rested on earlier work by figures such as Marshall Hall, an English physiologist. Starting in the 1830s, Hall helped establish the concept of a purely mechanical reflex arc—an unbroken mechanical chain starting with an inflowing sensory stimulus that is reflected through the central nervous system and back out to muscles, producing behavior. The more physiological function one could model in terms of reflex arcs, the more one could hope to build a science of physiology
causal role in bringing about purposive behavior, even for healthy, intact humans. In Huxley’s view, it’s absurd to think a decapitated frog is conscious. And if nonconscious, brainless frogs are capable of purposive behavior, surely our own neural structures can accomplish such behavior on their own—purely mechanically—without any mysterious help from conscious thought.
Huxley did not doubt that consciousness existed. He argued, however, that consciousness made no causal impact on the body. The sound of the steam train’s whistle is caused by the engine driving air through a pipe, to use his famous metaphor. But that sound does not in turn affect the engine. The same one-way causal arrow may be ascribed to the brain-consciousness relationship, argued Huxley. In his view, the brain somehow produces consciousness, but consciousness does not in turn affect the brain.
Huxley rejected purposiveness, spontaneity, and learning as observable
Wikimedia Commons: Well/BOT/Alamy; Pictorial Press Ltd/Alamy
German physiologist Eduard Pflüger (left) and English biologist and anatomist Thomas Henry Huxley (center) disagreed about which traits were reliable markers of consciousness. William James (right) took an evolution-inspired approach that avoided reliance on behavioral markers.
markers of consciousness that alter behaviors. And he had philosophical reasons for doing so, because according to his version of mechanism, no behavior was ever altered by consciousness. He instead judged the presence or absence of consciousness by anatomical markers, at least for nonverbal animals. Because serious damage to the cerebral hemispheres results in a loss of consciousness in adult humans, Huxley insisted that the frog is unlikely to be conscious when these structures are removed.
And so two warring interpretations of Pflüger's experiment emerged. These interpretations were staked on mutually exclusive consciousness markers. Vitalists reasoned that purposive behavior is a marker of consciousness in the decapitated frog, which in turn suggests that consciousness emerges from a sufficiently complex neural system, even in creatures without a brain. Mechanists appealed to anatomical markers to claim that decapitated frogs cannot really be conscious. It would follow, according to mechanisms, that purposive behavior must be abandoned as a consciousness marker. In turn, this argument suggests that a purely mechanistic nervous system can account for all behavior, and consciousness must be a causally impotent by-product.
With the debate deadlocked, a quirky American entered the fray. William James, now widely recognized as one of the founders of empirical psychology,
was still early in his career when he wrote in 1879 that rival interpretations of ablated frogs 'may mutually eat each other up to all eternity.' His solution was to reject the marker strategy entirely. Instead of testing which creatures are conscious by looking for markers, then testing the markers by looking for which creatures are conscious, James identified specific incapacities observed
whose cerebral hemispheres he'd removed (presumably using a scalpel or lance, two common ablation techniques of the day). He noticed that every time he tilted his hand steeply downward, the frog would crawl back up his hand, but not jump—without fail. When James pinched a particular spot under the frog's armpits, the frog would croak precisely once. When placed in water, the frog would begin swimming, without exception. If James touched the swimming frog's hand with a stick, it would immediately stop. So, although
in ablation studies. He then asked if any of these incapacities could be explained by a lack of consciousness.
Importantly, his answer did not depend on markers. James instead supported his explanation by appealing to evolutionary and introspective considerations about what consciousness does—what functional role it plays in a creature's overall physiology. His insight was that, absent an independent theory about function, inferring consciousness from the bare presence of markers is like a cat trying to pull itself up by the scruff of its own neck.
At first, James came to this approach through his own experiments on frogs
it could pursue goals, the decerebrate frog's behavior still had a predictable, mechanical character, like pulling the string on a jumping jack toy.
Relatedly, James noted that creatures without cerebral hemispheres would not do much of anything without external stimulation. 'The brainless pigeon will starve though left on a corn-heap,' he wrote. Pflüger's decapitated frogs may have acted with purpose, but only in response to the acid burn. Left alone, they simply sat still.
And James recognized yet another deficiency: Decerebrate creatures in these studies seemed unable to evaluate potential harms or benefits. He cited

James was influenced by German physiologist Friedrich Goltz, who demonstrated that a frog missing its cerebral hemispheres can repeatedly adjust its balance to remain on a board that swivels through extreme angles.
German physiologist Max Schrader's observations of decerebrate pigeons. Pigeons, like frogs, have the remarkable ability to maintain basic bodily functions even without their cerebral hemispheres. Schrader, whose writing James translated and excerpted, noted that a decerebrate pigeon will navigate around its enclosure without distinguishing inanimate objects from other pigeons, or even from cats, dogs, or birds of prey that might be in the
overall they still behaved with machine-like regularity, displayed an inability to initiate action, and seemed unable to discriminate relative value. In a word, they lacked what James called "prudence."
But James did not summarily conclude that prudence is a marker of consciousness. And he did not appeal to a metaphysical theory about the relationship between mind and body to support such a marker. Instead, he developed a hypothesis about evolutionary func-
complexity, it may be a virtue to react "infallibly and certainly" to a small band of changes in stimuli. In contrast, more neuroanatomically complex creatures develop mobility so they can navigate an environment where nutrients and threats are distributed unevenly. If these species responded mechanically to every scent, tickle, sound, and change of color or position in their visual fields, they would be liable to go off half-cocked at the slightest suggestion.
James's hypothesis was that consciousness regulates behavior in creatures with more complex nervous systems by affording them the capacity to evaluate objects and situations. He gave the example of seeing a rattlesnake on a hiking trail. You could scream and run away, or you could pause and weigh the risk of a bite if you were to proceed against the increased fatigue if you took a detour. This process is an evaluation of possible responses to a problematic situation. Crucially, James wrote, the evaluation requires entertaining "reproductions of what I have felt or witnessed" in the past, such as experiences of "a sudden pain in my leg, of a state of terror, a swelling of the limb, a chill, delirium, unconsciousness, etc., etc., and the ruin of my hopes."
James called the contents of such reproductions absent objects because they are not perceptually present as a creature evaluates how best to react. His thought was that consciousness helps regulate behavior by affording an ability to entertain and evaluate those absent objects, which include not-yet-actualized courses of action.
To further support his hypothesis, James appealed to our own introspection. Whenever one finds consciousness, he claimed, one finds evaluation incessantly at work. Consciousness constantly takes selective interest in some things and ignores many others, dividing objects into the more and less harmful, or the more and less beautiful. Perfectly dispassionate perception is quite challenging. The watch may tick with acoustically even beats, but James pointed out that what we hear is "tick-töck, tick-töck, tick-töck."
Whatever one thinks of James's theory, his path around the measurement problem is important. He saw the futility of justifying marker behaviors by identifying them in conscious creatures, and then circularly identifying conscious creatures by appealing to markers. Instead, he crafted a hypothesis about
way. The decerebrate pigeon, he wrote, "turns out of his path for an ordinary pigeon no otherwise than for a stone. He may try to climb over both."
Schrader characterized the decerebrate pigeon's behavior as radically "impersonal." He noted that sexual attraction ceases, as does any sign of friendship or enmity. "In the thickest company it lives like a hermit," he wrote. Schrader's pigeons were virtually value blind: They showed a diminished capacity either to value other creatures, or to evaluate different courses of action.
So, although decerebrate creatures could still perform purposive behaviors when prompted, as Pflüger had shown,
tion that would explain the ablation observations. Perhaps, he proposed, consciousness is localized in the cerebral hemispheres, and it functions to regulate behavior by affording prudence.
Charles Darwin's On the Origin of Species had been published in 1859, during James's student days. He became an early devotee. James noted that as more complex nervous systems evolve, one should expect a trade-off between behavioral stability and sensitivity to increasing varieties of stimuli. He argued that for very simple creatures with little need to cope with environmental
Emma Skurnick
Researchers disagree about which behaviors are definitive markers of consciousness. Possible indicators include (clockwise from top left) laughter, making motivational trade-offs, learning, self-recognition in a mirror, and purposive behavior.
consciousness’s evolutionary function, checked the hypothesis against introspective evidence, and sought to show that it provided the best explanation of experimental observations.
Unlike emergentists, James was not trying to explain consciousness by searching for reasons why it arises from this or that brain activity. And he was not trying to address the metaphysical disputes between vitalists and mechanists that had powered the earlier controversies around Pflüger’s work. Instead, James tried to understand consciousness by identifying the functional difference it might make in creatures that evolve this trait.
In a sense, the outcome of James’s approach is similar to the marker strategy. Both methods issue a correlation between consciousness and observable behaviors—in James’s view, conscious creatures should be those with complex nervous systems that display a capacity for prudence. The difference is that James’s approach did not begin by classifying cases as conscious or not, so he avoided the circularity of using be-
behavioral markers to support behavioral markers. With his approach, the correlation between consciousness and behavior is supported by an independent evolutionary theory that purportedly gave the best explanation of what researchers had observed in ablation studies.
James died in 1910, and one could almost say he took consciousness science with him to the grave. Three years later, the American psychologist John B. Watson published a manifesto arguing that psychology’s subject matter should be behavior, and for decades the field diminished consciousness as scientifically suspect. By trafficking only in something publicly observable—responses to stimuli rather than private, conscious phenomena—behaviorist psychology could style itself “a purely objective experimental branch of natural science,” as Watson put it. Consciousness did not return as an object of serious scientific scrutiny until the late 20th century.
Today, the scientific study of consciousness is again thriving, but it is
alienated from its own past. The neuroscientists, philosophers, psychologists, and biologists pushing the field forward do not usually appeal to 19th century science in their own consciousness research, understandably. But without reflecting on this history, are they condemned to repeat it?
With the return of consciousness science, we are also seeing the return of the marker strategy. In fact, it is dominating the field again, especially with respect to animal studies. For example, a 2021 landmark review paper used markers to make the case that certain mollusks and crustaceans are sentient, meaning that they are conscious in the minimal sense of having feelings, such as pain, thirst, or excitement. Funded by the U.K. government, the review led to creatures such as crabs, octopuses, and lobsters being formally recognized for legislative purposes as sentient beings.
One such consciousness marker—the ability to make motivational trade-offs—was illustrated by a 2009 study at Queens University Belfast in Northern Ireland. Researchers subjected hermit crabs in both preferred and unpreferred shells to increasingly strong electric shocks. They found that crabs in preferred shells evacuated at
Reiss, D., et al. PNAS 98:5937; Plotnik, J. M., et al. PNAS 103:17053
Some consciousness researchers today accept recognition of one's own reflection as a marker of consciousness. In 2001, researchers at Columbia University in New York and Emory University in Georgia reported that two individual dolphins used a mirror to investigate ink painted onto body parts that were not otherwise visible, such as above the eye (left). Five years later, researchers from those institutions reported the same capacity in an Asian elephant (center) who looked in the mirror and touched a marked spot with her trunk (right).
higher shock intensities than those in unpreferred shells, suggesting that they weighed the need to avoid noxious stimuli against the need to retain a good quality shell. Because a reflexive response to pain should activate on the basis of a fixed physiological threshold, the researchers took their results to sup-
put a visible spot of red dye on their foreheads. When the chimps saw their marked faces in the mirror, they repeatedly touched the corresponding area of their own faces. Researchers have since documented similar behavior in Asian elephants, bottlenose dolphins, and even cleaner fish (which can use
foraging, mating, or clutter-clearing. The authors concluded that the observations help support sentience in these insects.
Some consciousness researchers argue that, collectively, these marker studies suggest that many animals are indeed conscious. There is strong scientific evidence that many mammals and birds are conscious, and at least a realistic possibility that all vertebrates and many invertebrates are conscious as well, according to the group of philosophers and brain scientists who issued and signed the 2024 "New York Declaration on Animal Consciousness." The declaration's 600 signatories urge policymakers to take empirical evidence of consciousness seriously when making decisions that affect the welfare of animals.
Just like in the 19th century, however, there is now division over the significance of markers. For one thing, applying these criteria consistently in the animal kingdom can lead to unlikely results. The microscopic roundworm Caenorhabditis elegans, for example, has fewer than 400 neurons, whereas humans have about 86 billion. Yet this tiny worm displays purported markers of consciousness, such as learning and motivational trade-off.
Debates about consciousness markers remain bound up with philosophical disagreements about the nature of the mind. Most consciousness researchers today accept, for example, that the cerebral cortex is necessary for human consciousness. But a minority argue that the upper brain stem might give rise to at least a minimal form of consciousness. Such researchers cite studies on children born without a cerebral cortex. These children are severely impaired, but they do display some apparent markers of consciousness, such as
port pain experience, not just a pain reflex. Similar capacities to trade-off motivations have been reported in rats, iguanas, bumblebees, predatory snails, various fish, and other species.
Crabs may be sentient without consciously reflecting on their feelings, but another vein of experimental work has tried to develop markers for full-blown self-awareness. Many animals, including human infants, respond to a mirror as though the image were that of another creature. In 1970, a classic study at Tulane University in Louisiana showed that chimpanzees can be made to recognize themselves. After allowing several chimps to become accustomed to mirrors, researchers surreptitiously
mirrors to scrape a mark off the side of their body). Dogs, wolves, and garter snakes have been shown to pass olfactory versions of the test. Although there are debates about the implications of these findings, some researchers now accept mirror self-recognition as a marker for self-consciousness.
Play has been suggested as yet another marker. In a 2022 study, researchers at Queen Mary University of London gave small wooden balls to bumblebees, who appeared to play with them for no practical purpose. (See "Expanding Consciousness," November–December 2019.) Researchers ruled out various functional explanations of the ball-rolling. The behavior was not, for example, driven by
sleep-wake cycles, simple emotions and preferences, and purposive behaviors. These accounts are intertwined with a broader philosophical conception of consciousness as rooted more in embodied action and biological regulation than in higher cognitive capacities, the latter of which are associated with the cerebral hemispheres.
Other theorists argue that consciousness arises only with higher order awareness of what one is feeling, thinking, or doing. Hermit crabs may act so as to balance pain avoidance against the need for a good shell, but that does not necessarily mean that they are aware of their own preferences. Higher order theories reflect a contrasting philosophical attitude that views consciousness as rooted not in biological regulation but in the mind's cognitive abilities, especially the mind's ability to represent its own states. Accordingly, such theorists emphasize quite different markers of consciousness, such as satisfactory performance on metacognitive tasks where subjects are asked to report their confidence about what they have experienced. Monkeys, for example, will wager more food if they think they have performed well on a cognitive task than they will if they are less confident.
As philosophical debates go, vitalism versus mechanism may be antique, but researchers today remain divided over philosophical issues. Is consciousness more closely associated with sensory or intellectual processes? With embodied action or reflective cognition? It is hard to escape the sense that our preferred consciousness markers are intertwined with our preferred philosophical theories. And so, the field is just as mired in the measurement problem today as it was in the 19th century.
To reach a consensus on consciousness markers, researchers are now attempting a so-called iterative method. If consciousness is a single, stable feature or process, they reason, then different markers should all be present in the same creatures. By checking which intuitively plausible markers actually appear together, we can build a bread-basket of reliable markers and discard the rest. In this way, researchers hope to refine a collection of consciousness markers iteratively over time.
But the history of consciousness research provides a cautionary tale. Sometimes, different initial assumptions never
Dona, H. S. G., et al. 2022.
A team led by researchers at Queen Mary University of London gave wooden balls to bumblebees and watched as the insects rolled them around, seemingly for no practical purpose. The findings, reported in 2022, showed that younger bees were the most playful, much like in mammals. Some consciousness researchers point to play as a marker of consciousness.
converge. Instead, they get built up into increasingly elaborate, increasingly divergent philosophical outlooks that ultimately prove irreconcilable.
James would probably be impressed with these modern-day studies of animal cognition. But he'd also likely caution against inferring that a creature is conscious solely because it displays certain markers—or because whatever markers it displays cohere with one's preferred philosophical framework. His insight was that such inferences can only be made plausible if set inside an evolutionary framework that does not itself rest on marker-style evidence. If there were independent reasons to think that consciousness's evolutionary function is behavior regulation, for example, then there would be reason to expect that conscious creatures are capable of motivational trade-offs.
Many decerebrate creatures in 19th-century studies lacked a capacity for making motivational trade-offs, since they lacked motivation to do much of anything. If both evolutionary theory and our own introspection point to consciousness as a prerequisite for prudent, evaluative action, then we can conclude, as James did, that Pflüger's frogs suffered from a disorder of consciousness. And we can look to evolutionary history to understand when, why, and in which animal populations prudent behavior might have first taken hold.
James's lesson is, if we want to understand consciousness, we should look to evolution, we should look to functional incapacities, and we should look to the only truly incontrovertible cases of conscious experience any of us can ever directly observe—our own.
Andrews, K. 2024. "All animals are conscious": Shifting the null hypothesis in consciousness science. Mind & Language 39:415–433. Andrews, K., J. Birch, J. Sebo, and T. Sims. 2024. New York Declaration on Animal Consciousness. nydeclaration.com Bayne, T., et al. 2024. Tests for consciousness in humans and beyond. Trends in Cognitive Sciences 28:454–466. Birch, J., C. C. Burn, A. K. Schnell, H. Browning, and A. Crump. 2021. Review of the evidence of sentience in cephalopod molluscs and decapod crustaceans. LSE Consulting, London School of Economics and Political Science. Freiburger, T., N. Miller, and M. Skinner. 2024. Olfactory self-recognition in two species of snake. Proceedings of the Royal Society B: Biological Sciences 291:20240125. Godfrey-Smith, P. 2016. Other Minds: The Octopus, the Sea, and the Deep Origins of Consciousness. Farrar, Straus and Giroux. Huxley, T. H. 1899. On the hypothesis that animals are automata, and its history. In Method and Results: Essays, pp. 199–250. Appleton. James, W. 1879. Are we automata? Mind 4:1–22. James, W. 1890. The Principles of Psychology. Holt and Company. Klein, A. M. 2025. Consciousness Is Motor: William James on Mind and Action. Oxford University Press. Merker, B. 2007. Consciousness without a cerebral cortex: A challenge for neuroscience and medicine. Behavioral and Brain Sciences 30:63–134. Shea, N., and T. Bayne. 2010. The vegetative state and the science of consciousness. British Journal for the Philosophy of Science 61:459–484.
Alexander Mugar Klein is a Canada Research Chair and a professor of philosophy at McMaster University in Ontario, where he also directs the Bertrand Russell Research Centre. His work weaves together philosophy, history, and cognitive science. Klein's 2025 book about William James, Consciousness Is Motor, was published by Oxford University Press. Email: kleina7@mcmaster.ca
Sarah Marion
BEYOND INHERITANCE: Our Ever-Mutating Cells and a New Understanding of Health. Roxanne Khamsi. 304 pp. Riverhead, 2026. $30.
We tend to think of genetic disease as something we inherit, written uniformly into every cell—but many genetic diseases begin with mutations that emerge in only a subset of our cells. Although we each have a unique genome sequence, we are all composed of cells that carry slight genetic differences. Within our bodies, populations of genetically distinct cells can expand or outcompete others, echoing natural selection on a much smaller scale. Beyond Inheritance: Our Ever-Mutating Cells and a New Understanding of Health by Roxanne Khamsi explores the parallels between mutation and natural selection on the organismal scale to those acting on genetically distinct cells within our bodies, and the profound impacts these cell lineages can have on our health.
We each inherit a genomic sequence from our parents. But as cells in our bodies replicate, our DNA is not always copied accurately, creating genetic variation among cells within the same body. As Khamsi succinctly explains, “The body replaces 330 billion—about 1 percent—of its cells every day, so there are many opportunities for DNA copying errors to happen.” Just as evolution acts upon genetic variation between individuals in a population, somatic mutations generate variation between cells in our bodies, laying the groundwork for what Khamsi calls endoevolution, or the evolution of cells within our bodies. Changes in the frequency of
cellular mutations are driven by cell reproduction and cell death. The mutations that occur during this process provide the genetic diversity upon which evolutionary forces such as natural selection can act.
Khamsi guides the reader through challenging genetics and evolutionary concepts with a series of concise stories. These include historical and modern tales of scientists making key treatment advancements, such as the development of a novel “lineage-based” vaccine targeting HIV, which consists of a series of shots carrying specific viral fragments aimed at stimulating the evolution of our immune cells to protect us from HIV. The author also follows patient experiences, diagnoses, and treatments, from the devastating tale of a pregnant mother with a rare blood disease caused by the expansion of a defective cell lineage, to the hopeful tale of two boys with severe inherited autoimmune disease who improved without treatment, due to a beneficial mutation that reversed the course of the disease and spread through their bodies with each passing year. Along the way, Khamsi thoughtfully braids together genetic and evolutionary lessons on inheritance, mutation, and natural selection, with each lesson building on the previous one.
Readers are eased into the idea of cells evolving within our bodies with an exploration of cancer through an evolutionary lens. Mutant cancer cells arise within our bodies and evolve and adapt to treatment due to their high mutation rates and natural selection, in the same way that weeds can develop pesticide resistance. This concept is presented to the reader before the idea that all the cells in our body may not be in coherent unison, as has been described since the beginning of the 20th century, when there was a strong biological movement “toward viewing each organism as a harmonious
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holistic system.” This view was compounded by the discovery of heritable units (genes) by Gregor Mendel, which “put an emphasis on how all somatic cells in the body contain the same genetic material.” Even now, when most of us hear the term “genetic disease,” we think about diseases caused by heritable genetic mutations, which are mutations that are present in every one of our cells because our parents gave them to us when we were just a single cell (that then divided to become the rest of our body). The author challenges our perceptions of personal genome sequences and genetic disease by explaining how we are each a mosaic of mutant cells, which lays the groundwork for a competition within us, where cells vie for the limited space in our bodies, tissues, and organs.
Although these concepts date back to the 1800s, they didn’t gain traction until the 1990s, when fruit fly geneticists discovered a concrete example of cellular competition, in which the presence of mutant cells near healthy cells could trigger the production of proteins that would wipe out the mutant cell lineage. Modern technology that allows scientists to sequence the genome of single cells has continued to enhance our appreciation of how cells with genetic differences interact with one another. The proliferation of some mutant cells can manifest as disease, including leukemia, heart disease, and even phenocopies of heritable disease—noninherited conditions that imitate inherited disorders, such as hemophilia and Down syndrome.
Khamsi emphasizes that, historically, “individuals who are genetic mosaics [have been portrayed as] medical oddities. But in reality, we all have some degree of genetic differences in our cells, no matter how small and nuanced, piling up over the years within our bodies.” Because we are all mosaics, and many of us are able to live relatively healthy lives, a major focus of the book is that not all mutations are bad for our health (even those that arise in disease-associated genes); indeed, many mutations have no health consequences at all. In fact, the influx of somatic mutations in some cells is critical to our health. The author highlights that the generation of new mutations is essential to a functioning immune system and, in some circumstances, can even rescue us from genetic diseases we inherited from our
parents. Our immune system relies on genetic variation to produce a wide variety of antibodies so that our systems have a chance to protect themselves from quickly evolving viral and bacterial threats. As Khamsi writes, “It’s a beautiful system, fueled by mutation. We cannot survive without it.” New mutations can benefit our health in other ways, too, and have been found to have the ability to “self-correct”—a disease mutation that reverts to normal functioning and then, in rare cases, accumulates in enough cells to correct the course of the disease.
Of course, some mutations that arise during our lifetimes do get passed down to the next generation. These heritable mutations are the source of variation between individuals and the groundwork for evolution on a scale we are more familiar with. So how often do new heritable mutations arise? The rate at which new mutations are generated depends on the person and can be influenced by mutations themselves. Some men, referred to in the text as “hypermutators,” have a defective DNA repair gene that results in an excess of mutations in their sperm. Interestingly, Khamsi includes current research suggesting that the rates of new mutations in some somatic tissues are significantly higher than those in cells that divide to generate sperm and eggs. Genetic diversity is unmistakably being generated rapidly within our bodies, with a wide array of potential effects on our cells’ ability to survive and reproduce, and thus on our health as individuals. Health scientists are increasingly working to harness mutations for good, and perhaps to even revert disease-causing mutations back to healthy function.
Although the book highlights many devastating health consequences of our ever-mutating and mosaic genome, please don’t be in constant fear of the next mutation that will arise in your body. Humans have evolved an essential ability to repair mistakes in our DNA, and not only are most mutations not bad, the majority of mutations that occur are fixed within minutes of being made. Furthermore, throughout the book, the author expands on how researchers are trying to utilize their understanding of mutations and endoevolution to benefit our health, such as aiding the development of modern medical treatments, including cancer therapy, vaccine de-
design, and organ transplants. Biologists have even started discussing how to maximize the efficiency of DNA repair machinery to reduce mutations and extend human lifespans.
With such a possibility in mind, Khamsi cautions, “After billions of years of life on earth, humans are the first living creature seeking to shape our genetic destinies. . . . However, we may need to ask whether it would always be wise to block or erase mutations with the possible gene-editing or drug interventions being contemplated.” The stories and lessons in Beyond Inheritance leave the reader with a new perspective that our personal genetic code is not fixed but rather a dynamic system fueled by mutation—a system that is constantly changing, with both harmful and beneficial impacts to our health.
Sarah Marion earned her PhD in evolutionary genetics from Duke University. She is currently a postdoctoral researcher at Reed College, studying the evolution of germline mutation rates.
Claire Bowern
TRUE COLOR: The Strange and Spectacular Quest to Define Color—from Azure to Zinc Pink. Kory Stamper. 320 pp. Knopf, 2026. $32.
Kory Stamper’s True Color: The Strange and Spectacular Quest to Define Color—from Azure to Zinc Pink gives a delightfully detailed view of how the lexicographers behind the 1961 Webster’s Third New International Dictionary grappled with the impossible: how to define the words of the English language that describe color. Stamper calls this task a “quest,” and rightly so. The creation of these dictionary entries was a major benchmark in a search for accurate, succinct, and principled ways to use language that had been going on for more than a century.
Dictionary writers face an unenviable and exacting task. Their job is to use language to write concise but exhaustive definitions of words and their many subsenses. Dictionaries are founded on the premise that it is possible to state what words mean in terms of other words, delineating a standard set of discrete meanings that all who speak the language agree on. But people don’t agree on what words
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Tom Cowap/Wikimedia Commons
This color swatch illustrates how vast the color spectrum can be, even within a small sample. For this reason, the color forecasting company Pantone initially used numbers and not color names because such terms are imprecise and can be highly subjective. Such is the challenge facing a lexicographer when determining definitions of colors.
mean, and they don't all use words in the same way—and so dictionaries have to simultaneously describe usage (people call this color 'teal') and prescribe meaning (this color is 'celadon,' not 'teal').
There are three main threads in True Color: Stamper's explanations and explorations of how dictionary authors write definitions; the history of Webster's Third New International Dictionary; and the contributions to that seminal book by Isaac Hahn Godlove (a scientist hired by Merriam-Webster to help with dictionary revisions) and Emma Margaret Godlove (who was employed as a stenographer but who was really the driving force behind many of the eventual printed definitions).
Color is often defined with respect to something else—for example, something that prototypically has a particular hue, such as teal or lapis lazuli. A nice example is how words meaning 'ashes' end up meaning either 'black' or 'white' in some Indigenous Australian languages: black if you have charcoal in mind, white if it's cold ashes. Stamper writes about how these issues led to Webster's color definitions fluctuating for many years
before publication, such as trying to define terms scientifically by dye recipes, math, or physics, which are more precise approaches but less informative than 'goldenrod.' Gold standard definitions in terms of spectrography don't capture what color words mean, because the experience of color is subjective and the words we use to describe colors are bound up with much more than the reference points in a color atlas.
The domain of color makes it clear just how difficult it is to define words by using other words. How does it help someone to understand meaning to define 'begonia' as 'stronger than average coral,' or 'buttercup' as 'a variable color averaging a vivid yellow that is redder and deeper than dandelion (see dandelion 3b) or goldenrod (see goldenrod 2a)?' This approach gives a sense, perhaps, but we don't always need color terms to express color. I read this book on a flight heading west out of New York at sunset, on a cloudy, slightly smoky evening where the color of the sky could only be described as apocalyptic. We can express hues with color words and still be none the wiser, or we can call our
feelings 'blue' or 'see red,' and use these terms where color is irrelevant.
True Color was both more specific and more general than I expected. Ironically, this concern is often what students say about introductory linguistics classes, so I thoroughly enjoyed a dose of my own medicine. The book is broad in the sense that there is a lot of information about dye manufacturing during World War I, the personalities of early 20th-century lexicographers, and arguments over what constitutes meaning. The book's pages detail how language is everywhere, intertwined with everything from philosophy to paint mixing. But it is narrower in its approach to language and color itself. True Color isn't really a book about color words in general; it's about Merriam-Webster's definitions of color.
Stamper also introduces readers to the concept of the 'triangle of meaning,' attributed here to linguists Charles Ogden and Ivor Richards, but which actually goes back in various forms to Aristotle. It is the idea that meaning has three parts: the word, its referent in the world, and the 'concept' that the word evokes. Words don't just mean the things they refer to in the world, because we can understand words that don't refer to real things, or words may refer to real things, even if we don't have firsthand knowledge of said things (you have a meaning of 'platypus'
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even if you've never seen one). To this list, I usually add that we need a grammatical and a social context to map concepts to referents and words. Otherwise, we don't have a way of describing the difference between 'spew' and 'throw up' (same concept, same sticky referent, different tone).
The meaning triangle helps explain why words are so difficult to define. There's a slippery slope between the meanings of words and the context that we need to know in order to understand them fully. For example, pink and blue are 'gendered' colors in North America, to the extent that if you see a baby in a pink onesie you'll probably assume the baby is a girl. Is that part of the referent (that is, the actual pink color)? No. It's arbitrary, and 100 years ago 'pink' had no such connotations. Is it part of the concept of pink? Probably so, at this point. But should that go in a dictionary? That's where I'm glad I don't have to make these decisions.
Early on, Merriam-Webster decided to standardize color terms, defining such words in terms of saturation, lightness, and range of hue. These are definitions based partly on the physics of light, partly (in the case of chrome green, for example) on chemistry. For other terms, the lexicographers got creative. But where to stop? One problem seems to have been that, at that point, standard dye recipes already had named colors. Those colors are now color terms and in the dictionary, and what's in the dictionary (circularly, according to linguists) is enshrined. That's probably why there are more than 3,000 color names in Webster's Third New International Dictionary, many of which can be traced back to mid-century fabric or paint brands.
The snapshot of colors that Stamper provides in True Color tells an engaging history: of meaning, of dictionary crafting, and of the unique imprint left by those whose task it was to bring the language of color into this specific edition of Merriam-Webster's dictionary. Thousands of color words later, did Stamper and her lexicographer predecessors succeed in their quests? Maybe so, at least until the next batch of colors need defining.
Claire Bowern is a professor of linguistics and anthropology at Yale University. She studies how language changes over time, and she works with Indigenous Australians on language documentation, including dictionaries.
Keivan G. Stassun
MEXICO IN SPACE: From la Raza Cósmica to the Space Race. Anne W. Johnson. 296 pp. University of Arizona Press, 2026. $35.
'Space is for everyone.' This slogan is everywhere in the global space industry—painted on booths at aerospace expos; threaded through the promotional rhetoric of companies such as SpaceX, Blue Origin, and their government counterparts; even stitched onto the mission patches of international astronaut corps. Growing up Mexican American in Los Angeles, I came to astrophysics with almost no view of the night sky—the city saw to that—yet with a persistent, not entirely explicable sense that the cosmos was not foreign territory. Anne W. Johnson's Mexico in Space: From la Raza Cósmica to the Space Race helped me understand where that feeling might have come from.
Johnson opens the book by taking the phrase 'space is for everyone' seriously—and then systematically dismantling it. Her argument is not that space is for no one, but that the very grammar of 'everyone' implies a singular outer space available for appropriation by a singular humanity. That implication, she shows through eight years of ethnographic fieldwork across Mexico, is both politically consequential and empirically wrong.
Johnson's central conceptual move is to borrow the notion of milieu from the French philosopher of biology Georges Canguilhem—a term she translates as something like a constitutive environment: neither backdrop nor container, but an active medium through which organisms (or, in her usage, people, institutions, and ideas) simultaneously shape and are shaped. She adapts this idea into space milieux: the plural, historically situated, socially embedded contexts through which different communities in Mexico have engaged with outer space, not as a single infinite frontier, but as overlapping, sometimes contradictory places and practices.
The book's six chapters trace these milieux across strikingly diverse settings. We begin with pre-Hispanic
cosmologies and the Aztec calendar stone (the Piedra del Sol), whose astronomical sophistication Johnson treats not as a romantic origin story but as evidence of a long engagement between Mexican peoples and the cosmos that predates and complicates European narratives of 'discovery.' We move through the postrevolutionary construction of a nationalist cosmic identity (la raza cósmica)—the early 20th-century Mexican philosopher and education minister José Vasconcelos's famous and politically fraught vision of a spiritually superior mixed race destined to transcend both Europe and the United States—into Mexico's little-known Cold War satellite program and its fitful contemporary successor, the Mexican Space Agency (AEM). Along the way, we encounter dark sky activists fighting light pollution in Baja California; a collective of artists and scientists imagining a Mexican city on Mars; and Mennonite farmers in Chihuahua launching amateur rockets whose engines run on the same fuel that powers the pumps used to irrigate crops in a drought.
That last scene—Johnson at a rocket competition in the desert, eating tortillas and corn, watching judges evaluate student projects for compliance with the safety protocols of ENMICE (a high-power rocketry competition in Mexico), while a NASA official frets about heightened tensions in Gaza—is characteristic of the book's method and its pleasures. The ethnographic detail is dense without being inert. It serves as analysis: These rockets are not pale imitations of U.S. space technology; they are expressions of a specific Mexican space milieu, shot through with local anxieties about water, national identity, and whether Mexico belongs among the spacefaring nations or is, as one interlocutor puts it dryly, still waiting to be invited to the table.
One of the book's most unexpected threads involves not rockets, but seaweed. Johnson's field sites include coastal communities in Quintana Roo and Oaxaca that are working with Mar de Sal, a company using satellite imagery to track and manage the massive influxes of Sargassum, a type of macroalgae, that have been washing up on Mexico's beaches due to climate change and nutrient runoff. The connection to outer space might seem tenuous, but Johnson uses it as one of her most productive analytical
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moves: showing how satellite data, which originates in the most distant and technologically rarefied of outer space programs, becomes entangled with the most immediate, smelly, and economically devastating ecological problems of the terrestrial milieu.
This kind of analytical surprise is exactly what good ethnography delivers. The Sargassum seaweed is not a meta-
conquest of the Americas was not only a historical event, but a template.
This argument is provocative, and Johnson is careful not to flatten it. Many of her interlocutors are deeply ambivalent: They are excited by the prospect of a Mexican presence in the broader conversation about humanity's future off-Earth, but troubled by the terms on which that presence
sion of dark sky communities in the final chapter, in particular, could benefit from the same depth of ethnographic texture that makes the Chihuahua rocket competition and the Sargassum sections so vivid.
These are minor notes about a book that is doing something genuinely difficult: explaining why "Mexico" and "space" are not two separate topics that happen to intersect, but two names for a single, deeply entangled set of historical, political, and material practices. The fact that Johnson largely succeeds is a considerable achievement.
The question in the blurb on the book's back cover—"Who belongs in outer space?"—turns out to be the wrong question, or at least not quite the right one. What Johnson's book shows is that the question assumes a singular outer space waiting to be populated by the right kind of people. What she finds instead is a multiplicity of outer spaces—as many as there are communities with skies over their heads, histories behind them, and technologies within reach. The "spaces" of a Baja astronomer, a Chihuahuan Mennonite rocketeer, and a Quintana Roo sargasso-mapper are not competing versions of the same thing; they are genuinely different objects, constituted by different practices.
If it is true—as the recent proliferation of commercial and governmental space programs suggests it is—that humanity is about to spend an enormous amount of money, engineering talent, and political capital on the project of expanding beyond Earth, then the questions this book raises are not merely academic. Who gets to define what "space" means? Whose cosmologies count as knowledge, and whose count as mythology? What kinds of communities and what kinds of futures do we carry with us when we go? I found myself thinking of the children now growing up in Los Angeles, Mexico City, and Chihuahua—starved of dark skies but not starved of a cosmos. Mexico in Space does not answer all these questions. But Johnson asks them in ways that should make anyone who cares about the future of space exploration stop and think.
Keivan G. Stassun is the Stevenson Professor of Physics and Astronomy at Vanderbilt University. His research interests include stellar astrophysics and archaeoastronomy. He is also the author of The Life and Death of Stars, a Great Courses lecture series.
phor for anything; it is a real problem with real economic consequences for tourism operators and fishing communities. But it is also, Johnson argues, another milieu that connects the biological and the orbital, the human and the nonhuman, in ways that the standard "space is for everyone" narrative—focused on individual heroes launching into the cosmos—entirely misses.
The book's most theoretically ambitious chapter, "Transhabiting Mars," is also its most politically charged. Johnson follows the collective Marsarchive.org, a group of Mexican artists, scientists, and writers who have spent years imagining what a Mexican city on Mars might look like. It is not an endorsement of Elon Musk's "colonization" plans, but a way of asking what it means to project desires and fears about terrestrial life onto an extraterrestrial canvas. The collective's fictional city, Martenochtitlan, is named for both Tenochtitlan (the Aztec capital, now Mexico City) and the Spanish conquest that destroyed it. The allusion is deliberate: Colonizing Mars replays the same dynamic of dispossession that structured the conquest of the Americas, now with Silicon Valley in the role of Cortés. In Marsarchive.org's telling, the technologies and rhetoric of Martian colonization—terraforming, "unclaimed" land, indigenous populations framed as obstacles or resources—are not neutral engineering problems but a recognizable repertoire inherited from 16th-century European expansion. To recognize Mars as a site of potential conquest, the collective argues, is already to recognize that the
would have to occur. A telling moment comes when an AEM official, at a diplomatic reception in Chihuahua, uses the language of "investment opportunities" to describe Mexico's space aspirations while, in the same breath, invoking the legacy of Aztec astronomical genius. The juxtaposition is not lost on Johnson or, one suspects, on the official himself: Mexico's modern space ambitions are being marketed in the vocabulary of global capital while drawing legitimacy from a pre-Columbian past whose descendants remain largely excluded from the AEM's boardrooms and budgets.
Mexico in Space is not without its difficulties. The book's theoretical apparatus draws on a constellation of science studies theorists: Isabelle Stengers and Bruno Latour on how scientific facts are assembled, Donna Haraway on the politics of knowledge, Anna Tsing on how global systems work through friction and local difference, and Lisa Messeri, whose ethnography of planetary scientists directly anticipates Johnson. But this breadth of perspectives occasionally weighs down the prose in ways that will challenge readers outside the social sciences. The introduction's extended meditation on milieu as a concept is necessary but demanding, and readers who persevere will be rewarded by later chapters that deploy the concept with considerably more grace. The book also covers a great deal of ground—from pre-Hispanic cosmology to contemporary satellite programs to speculative fiction about Mars—and although the thematic coherence holds, some chapters feel more fully realized than others. The discus-
252 American Scientist, Volume 114
Volume 35 Number 04
A NEWSLETTER OF SIGMA XI, THE SCIENTIFIC RESEARCH HONOR SOCIETY
On April 26, Sigma Xi presented awards for its 2026 Student Research Showcase. The virtual competition included 311 student participants across 13 disciplinary categories. Awards were given in the high school, undergraduate, and graduate divisions. Additional prizes were awarded for the top overall winner, people's choice, and interdisciplinary categories.
The 2026 overall winners were Lauren Choi of Irving High School and Vijeta Garg of Edison High School. The people's choice winner, voted on by fellow participants, was Heritage Xperiential Learning School's Aryaman Chandra.
The Student Research Showcase is an annual virtual competition aimed at building students' science communication skills so they can convey the value of their research to technical and nontechnical audiences. During a month-long evaluation period, students built websites, videos, and slideshows to present their research to a panel of judges and public audiences. Judges' evaluations were based on how well the students communicated enthusiasm for their projects; explained the significance of their research; used text, charts, and diagrams; and responded to questions.
Continued on page 255
As I begin my term as your president, I have found myself reflecting on a simple question: What makes Sigma Xi so special?
This year offers us a meaningful moment for reflection, as Sigma Xi marks its 140th anniversary and the United States celebrates its 250th. These milestones invite us to consider the role science has played in shaping our nation—and how both continue to evolve alongside one another. Science has been central to American progress, from early efforts to understand the natural world to today's complex, collaborative, global scientific enterprise. And science has played a fundamental role in our country's development by expanding opportunity, improving lives, and deepening our understanding of who we are and where we fit in the universe.
Sigma Xi reflects that same evolution. The Society is remarkable for its breadth, welcoming professional scientists, students just beginning their journeys, and distinguished scholars who have spent a lifetime advancing knowledge. Sigma Xi spans thousands of miles, as well as generations and disciplines. This inclusiveness is not incidental; it is foundational.
But if many of us come from such different places, what brings us together?
At least in part, we share an appreciation of science itself. Members of Sigma Xi are united by the beauty of discovery and the unfolding of things previously unknown. Science, at its best, is fueled by curiosity and wonder.
But the Society also connects us more deeply. Scientific insights have shown us that we are not the center of the universe, that we are part of a vast and evolving natural world, and that we share common origins. These ideas can be humbling, but they also remind us of our shared humanity. And science is, of course, practical. It helps us confront everyday challenges and address pressing global problems by innovating and expanding knowledge to build a better future.
With those opportunities comes responsibility. Rather than dwell on concerns about trust in science, I believe our focus should be on trustworthiness in our scientific research—on upholding the highest standards of rigor, honesty, and transparency. Science is, in many ways, a sacred vocation grounded in a commitment to truth.
Sigma Xi plays a vital role in fostering both the wonder and the responsibility that define science. As we honor our past and look toward the future, I am excited to explore with you how we can continue advancing science—and society—in the years to come.
B. Allison
2026 July–August 253
MEETINGS & EVENTS
Sigma Xi is proud to announce that members Jared Boyce and Tengteng Tang have been selected to attend this year's Lindau Nobel Laureate Meeting, an international forum that brings together Nobel laureates and outstanding early-career scientists from around the world.
The prestigious Lindau Nobel Laureate Meetings provide a unique opportunity for the next generation of researchers to engage directly with Nobel laureates through lectures, discussions, and collaborative exchanges that span disciplines and borders. The 2026 meeting will be the 75th anniversary of the event and will emphasize interdisciplinary dialogue, encouraging participants to explore solutions to complex global challenges through diverse scientific perspectives.
Jared Boyce is an emerging physician-scientist whose work sits at the intersection of neuroscience, medicine, and social impact. Currently a medical scientist trainee at the University of Wisconsin's School of Medicine and Public Health, Boyce previously earned a BA in neuroscience from Dartmouth College and an MS in medical sciences from Brown University. His research experience spans leading institutions, including Columbia University and the Icahn School of Medicine at Mount Sinai, where he has contributed to studies in brain science, behavior, and neurobiology. His scholarly interests focus on understanding how early-life experiences—particularly trauma—shape brain development and long-term health outcomes, with the goal of advancing more equitable approaches to care for underserved populations.
Tengteng Tang is a researcher and faculty member at Union College in New York, where he works at the intersection of mechanical engineering and interdisciplinary scientific research. Previously, he at-
Jared Boyce
Tengteng Tang
tended Arizona State University, earning a PhD in mechanical engineering in 2025. His work reflects the increasingly collaborative nature of modern science, drawing on principles across engineering and related fields to address complex problems. At Union, Tang contributes to a research environment that emphasizes cross-disciplinary inquiry and hands-on student engagement. He is committed to advancing collaborative research and mentoring students in interdisciplinary approaches to engineering and science.
As an academic partner of the Lindau Nobel Laureate Meetings, Sigma Xi invites students and early-career scientists to apply annually for nomination to the Young Scientist cohorts of future meetings. Applicants should be active members of Sigma Xi, be among the top 5 percent in their class, and meet additional post-grad criteria. The application portal for next year's meeting will open in the summer of 2026 at sigmaxi.org. Questions can be directed to executiveoffice@sigmaxi.org.
The 2026 Sigma Xi Northeast Region Research Conference, held April 18 at Western Connecticut State University (WCSU), brought together 170 registered attendees from 12 institutional chapters across the Northeast, showcasing 58 student research posters in a vibrant celebration of scientific inquiry and collaboration.
Hosted by the WCSU chapter of Sigma Xi, the conference highlighted the depth and diversity of undergraduate and graduate research across disciplines. Participants engaged in thoughtful discussion, peer evaluation, and knowledge exchange—hallmarks of the scientific enterprise. Keynote
presenters emphasized the importance of interdisciplinary collaboration and communication, underscoring that research thrives through diverse perspectives and shared effort. Student poster presenters were recognized for their outstanding contributions, with awards presented through faculty mentors.
The success of the event was made possible through the contributions of volunteer judges, student organizers, and institutional support from the WCSU Foundation, WCSU Auxiliary and Event Services, and WCSU President John B. Clark. Sigma Xi headquarters also provided key support in helping bring the regional gathering to life.
The Northeast Regional Research Conference was the first in a recurring spring series of regional conferences, hosted annually by rotating chapters, that will build on the momentum of this year's event. Attendees are invited to continue their engagement with Sigma Xi through upcoming opportunities, including the Society's annual national conference, the International Forum on Research Excellence (IFoRE), held virtually each November.
254 Sigma Xi Today
STUDENT PROGRAMS
Continued from page 253
Overall Winners & First Place— High School Division
Lauren Choi, Irving High School AI Health Support: Low-Cost Digital Stethoscope
People's Choice Award
Aryaman Chandra, Heritage Xperiential Learning School Can a Shape Hear Itself?
First Place, Undergraduate Division
Desiree Thomas, California State University, Sacramento Size Assortative Mating in Wild Costa Rican Cichlid
Graduate
Technology Framework for
Division
Nina Grant, Rutgers University Keeping Coffee and Chocolate on the Table in a Warming World
Second Place, Graduate Division
Tsion Eshetu, Wake Forest University Skill-Based Learned Oculomotor Avoidance
Interdisciplinary Awards
Advances in Computation
Stethoscope*
Biology and Biotechnology
Zain Shariff, Curtis Senior High School AICathDesigner RV-EMB
Design, Construction, and Manufacturing
Vijeta Garg, Edison High School Soft Actuators to Improve Life for Breast Cancer Survivors
Engineering
Aditya Goel, The Shri Ram School IoT-Based Industrial Energy Monitoring & Carbon Visibility
Environmental Challenges
Arihant Jaggi, Cushman High School Can Math Predict Miami's Future?
Human Health
Lily Yuan, Amador High School Lung Cancer Drug Resistance: miR-7 Metabolic Reprogramming
Human Sciences and Policy
Anant Agarwal, Vasant Valley School Sectoral Responses to Macroeconomic Variables in India
Tools for Science, Education, and Personalized Learning
Vidushee Shekhar, Mallya Aditi International School Phonological Error Detection in Child Speech
Understanding the Universe
Priyanka Supraja Balaji, California Institute of Technology Safe LiDAR Perception Framework for Mars
2026 July–August 255
RESEARCH
Grant: $5,000 in Spring 2024; $5,000 in Spring 2026

My research project focused on Arctic fox and red fox spatial ecology, as well as the influence of marine carrion subsidies from polar bear kills on ice-facultative species such as the Arctic fox. With the recent expansion of red foxes from the boreal forest onto the tundra, the Arctic fox now serves as an excellent study species for examining a species-level response to the arrival of an ecologically similar competitor. Using GPS collaring techniques, this ongoing research provides a novel assessment of interactions between these foxes on the tundra during the breeding season, a critical period for recruitment, helping us to understand how red foxes influence Arctic fox habitat use and reproduction. By investigating the space-use patterns of these sympatric carnivores and the importance of marine environment food subsidies, resource managers can make informed conservation decisions on how to best conserve Arctic fox populations in a rapidly changing landscape.
I am currently in the fourth year of my PhD research project, titled “Changing Biomes: Implications of a Rapidly Shifting Landscape on Arctic Foxes.” I am delighted to report that, thanks to this grant and several others, we were able to secure funding for 15 additional radio collars. To date, my research lab has collared and monitored 55 foxes, and we plan to deploy another 13 radio collars during the 2026 field season.
The process of applying to various grants can be daunting and time consuming, but don’t be discouraged if you are unsuccessful on the first few attempts. My advice is to try for as many grants and scholarships as possible, because you never know what the applicant pool or reviewing committee will be like each year. Be clear in your objectives and hypotheses, avoid technical jargon, and try to highlight what makes your research project important to a broad audience.
I am currently a PhD candidate in biological sciences at the University of Manitoba in Winnipeg, Canada. My field work is conducted through the Churchill Fox Project and is based out of Churchill, Manitoba. As I’m nearing the end of my program, you can find me most days tackling R code, analyzing data, and writing up the results of my dissertation.
Students may apply for Sigma Xi research grants by March 15 and October 1 annually at sigmaxi.org/giar.

As an undergraduate researcher at the University of Charleston, Gael Gonzalez is already contributing to the future of space-based astronomy. Supported by a Sigma Xi Grants in Aid of Research (GIAR) award, Gonzalez is working with colleagues on the development of a CubeSat—a small, cube-shaped microsatellite—equipped with a specialized ultraviolet (UV) camera designed to study binary star systems. The multistage mission began with a precursor deployment to the International Space Station on April 8, 2026, followed by a full CubeSat launch in June in collaboration with partners in Chile. It’s an ambitious project that bridges engineering, astrophysics, and experimental science.
At the heart of the mission is the goal of better understanding how stars interact with their surrounding environments, particularly the planets that orbit them. By capturing photometric measurements of stellar activity in the UV spectrum, the CubeSat will help researchers refine models of stellar evolution, improve predictions of exoplanet atmospheric loss, and sharpen methods for identifying habitable zones. These questions build on a legacy of space-based observation, from the Hubble Space Telescope—which revolutionized UV and
visible-light astronomy—to more recent exoplanet-focused missions such as the Transiting Exoplanet Survey Satellite and the James Webb Space Telescope.
Beyond the project’s technical achievements, Gonzalez emphasizes how transformative the experience has been in shaping his identity as a researcher. “This project revealed how much behind-the-scenes work goes into science that often goes unnoticed,” he says. Equally important has been the hands-on nature of the project. From testing instrumentation to conducting performance analyses, such as the simulating photometric drift caused by satellite motion, Gonzalez has gained a deeper appreciation for the meticulous effort required to bring a novel scientific concept to life.
Looking ahead, Gonzalez hopes to pursue a PhD in astrophysics and eventually work in a research role at NASA or a comparable institution. With a focus on space instrumentation and observational techniques, he aims to continue exploring stellar systems and exoplanets—fields that are rapidly expanding our understanding of the universe.
256 Sigma Xi Today
NOVEMBER 6–7, 2026
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### Our current technologies allow us to move beyond lesion studies and inferential behavioral exper## Participants were only able to recognize false information that was asserted, whereas presupposed## More recent experimental designs aim to come as close as possible to how linguistic messages areVolume 114 • Number 4 • July–August 2026
194 From the Editors
■ 214 Science
- **Article 32** chunk 0: Community
- 缺失数字: ['2026', '$217 million', '$38.8 million']
- 原文预览:# Community
Many social challenges that he hoped
he found that many of the appli-
cated would not h- **Article 25** chunk 0: Our Bone-ified Best Blade
- 缺失数字: ['$99 ']
- 原文预览:# Our Bone-ified Best Blade
This knife says you're no one to mess with

- **Article 36** chunk 0: BRILLIANCE IN EVERY SHADE.
- 缺失数字: ['$99 ']
- 原文预览:## BRILLIANCE IN EVERY SHADE.
This coordinated jewelry set captures the vibrant energy of natural p- **Article 33** chunk 0: **Sea Grant research supports the essential identi
- 缺失数字: ['$1.6 billion', '1981']
- 原文预览:## Sea Grant research supports the essential identity of this country as a land of opportunity wit- **Article 31** chunk 0: **JEWELRY SPECS:**
- 缺失数字: ['$198', '$99']
- 原文预览:## JEWELRY SPECS:**
At the root of the disagreement between the curators and advisers was the ACS’s- **Article 43** chunk 0: What's Next
- 缺失数字: ['2025', '2000']
- 原文预览:## What's Next
The 2000 Florida election was a shock to the system of election administration, lead- **Article 40** chunk 1: Science in the Early Republic
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- 原文预览:equipped with a method for logically organizing facts to support a conclusion. Science did not perta- **Article 66** chunk 0: Return of the Markers
- 缺失数字: ['2001', '2009', '1910', '2024', '2021']
- 原文预览:## Return of the Markers
James died in 1910, and one could almost say he took consciousness science- **Article 78** chunk 0: The Wonder We Share, the Responsibility We Carry
- 缺失数字: ['2026']
- 原文预览:## The Wonder We Share, the Responsibility We Carry
As I begin my term as your president, I have fo- **Article 81** chunk 0: Northeast Region Research Conference Draws 170 Att
- 缺失数字: ['2026']
- 原文预览:## Northeast Region Research Conference Draws 170 Attendees for Day of Discovery and Collaboration
- **Article 85** chunk 0: of GIAR : Holly Gamblin
- 缺失数字: ['2026', '2024', '$5,000 ']
- 原文预览:## of GIAR : Holly Gamblin
Grant: $5,000 in Spring 2024; $5,000 in Spring 2026
![img-6.jpeg](i- **Article 87** chunk 0: How did the grant process or the project itself in
- 缺失数字: ['2026']
- 原文预览:### How did the grant process or the project itself influence you as a scientist/researcher?
I am c- **Article 90** chunk 0: From Concept to Launch: How a Student Researcher I
- 缺失数字: ['2026']
- 原文预览:## From Concept to Launch: How a Student Researcher Is Advancing CubeSat Science
As an undergraduat- **Article 73** chunk 0: Whose Cosmos Is It, Anyway?
- 缺失数字: ['2026']
- 原文预览:## Whose Cosmos Is It, Anyway?
Keivan G. Stassun
**MEXICO IN SPACE: From la Raza Cósmica to the Sp- **Article 40** chunk 2: Science in the Early Republic
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- 原文预览:In 1803, Ohio became the 17th state in the Union. The state's legal incorporation provided a framewo`