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Human Sciences of Science

An interdisciplinary field that uses the humanities to study science as a cultural, historical, and philosophical phenomenon. It encompasses history of science, philosophy of science, science and literature, and science and the arts. It examines how scientific ideas emerge, how they are communicated, how they shape and are shaped by cultural contexts, and how science is represented in art and narrative.
Example: “His human sciences of science work traced how the metaphor of ‘the book of nature’ influenced both natural theology and modern science, shaping expectations about what scientific knowledge should look like—ordered, legible, unified.”
by Abzugal Nammugal Enkigal March 24, 2026
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The application of cognitive science—psychology, neuroscience, cognitive anthropology—to understand the cognitive processes underlying skeptical attitudes and practices. It investigates how people evaluate evidence, how they distinguish credible from incredible claims, how cognitive biases shape skeptical or credulous tendencies, and how skepticism is learned and deployed. It also explores the neural correlates of doubt and the developmental trajectory of skeptical thinking.
Example: “Cognitive sciences of skepticism research found that self‑identified skeptics, like believers, showed confirmation bias—they were quicker to spot flaws in arguments they disagreed with than in arguments they favored.”
by Abzugal Nammugal Enkigal March 24, 2026
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A field that uses cognitive psychology, neuroscience, and computational models to understand the mechanisms of reasoning, decision‑making, and judgment. It investigates how humans actually reason (as opposed to ideal norms), what cognitive biases affect rationality, and how reasoning can be improved. It also examines the neural bases of logical reasoning, the role of emotion in rational thought, and the development of reasoning across the lifespan.
Cognitive Sciences of Reason and Rationality Example: “Cognitive sciences of rationality research demonstrated that even expert physicists showed motivated reasoning when evaluating data that challenged their theories—rationality is not a simple override of bias but a capacity that operates within constraints.”
by Abzugal Nammugal Enkigal March 24, 2026
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Cognitive Sciences of Logic

The study of how human minds learn, represent, and use logical rules. It draws on cognitive psychology, neuroscience, and artificial intelligence to understand the cognitive processes behind deduction, induction, and informal reasoning. It investigates whether logical competence is innate or learned, how logical reasoning develops in children, and how it can be impaired by brain damage. It also explores the relationship between formal logic and everyday reasoning.
Example: “Cognitive sciences of logic research showed that people find logical problems easier when they are framed in terms of social contracts rather than abstract rules—suggesting that logical reasoning piggybacks on evolved social cognition.”
by Abzugal Nammugal Enkigal March 24, 2026
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A field that applies cognitive science to understand how scientists actually think, reason, and make discoveries. It examines the cognitive processes involved in hypothesis formation, experimental design, data interpretation, and theory choice. It also studies how cognitive biases affect scientific practice, how expertise develops, and how scientific reasoning can be taught. It often uses computational modeling to simulate scientific discovery.
Example: “Cognitive sciences of the scientific method research used computational models to show that seemingly irrational ‘perseverance’ in the face of disconfirming evidence can be a rational strategy for exploring uncertain hypotheses—a different kind of logic than the textbook method.”
by Abzugal Nammugal Enkigal March 24, 2026
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An interdisciplinary field that uses cognitive science to understand how humans acquire, evaluate, and justify knowledge. It investigates the cognitive mechanisms underlying epistemic judgments—how we decide who is trustworthy, what counts as evidence, and when to revise beliefs. It also examines how metacognition (thinking about thinking) enables epistemic self‑regulation and how epistemic failures (e.g., conspiracy belief) arise from normal cognitive processes.
Example: “Cognitive sciences of epistemology research found that people’s trust in experts is influenced by social identity and emotional resonance as much as by perceived expertiseepistemic judgment is cognitively inseparable from social cognition.”
by Abzugal Nammugal Enkigal March 24, 2026
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The application of cognitive science to understand the cognitive and computational dimensions of scientific activity. It studies how scientists discover patterns, generate analogies, simulate phenomena mentally, and collaborate to produce knowledge. It integrates insights from cognitive psychology, artificial intelligence, and neuroscience to model the cognitive processes underlying scientific reasoning and to design tools that augment scientific cognition.
Cognitive Sciences of Science Example: “Cognitive sciences of science research used eye‑tracking to study how physicists interpret graphs—showing that expert scientists see patterns that novices miss, and that this expertise is embodied in perceptual skills, not just explicit knowledge.”
by Abzugal Nammugal Enkigal March 24, 2026
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