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Social Sciences · Arts and Humanities

Philosophy and History of Science
Research Guide

What is Philosophy and History of Science?

Philosophy and History of Science is the study of the concepts, methods, and historical development of scientific knowledge, including mechanistic explanation, causation, evolutionary synthesis, scientific models, and biological explanation.

This field encompasses 90,642 works exploring mechanistic explanation in scientific discovery, evolutionary synthesis, causation, genetic information, scientific models, social mechanisms, and philosophy of science. Key topics include biological explanation, genetic code, and developmental biology. Growth rate over the past five years is not available.

Topic Hierarchy

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graph TD D["Social Sciences"] F["Arts and Humanities"] S["History and Philosophy of Science"] T["Philosophy and History of Science"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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90.6K
Papers
N/A
5yr Growth
1.2M
Total Citations

Research Sub-Topics

Why It Matters

Philosophy and History of Science shapes scientific practice by clarifying concepts like falsificationism and boundary objects in collaborative research. Cohen (1992) in "A power primer" provides effect-size indexes and sample sizes essential for behavioral science experiments, with 41,033 citations influencing statistical power analysis in fields like psychology. Star and Griesemer (1989) in "Institutional Ecology, `Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39" model cooperation between amateurs and professionals using boundary objects, cited 9,966 times to explain heterogeneous scientific work in museums and interdisciplinary settings. Gould and Lewontin (1979) in "The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme" critique adaptationist explanations in evolution, with 7,679 citations impacting debates on natural selection in developmental biology.

Reading Guide

Where to Start

"A power primer." by Cohen (1992) because it offers a convenient presentation of sample sizes and effect-size indexes, making statistical power analysis accessible for understanding scientific methods in behavioral sciences.

Key Papers Explained

Cohen (1992) "A power primer" (41,033 citations) grounds empirical research design, while Popper (1959) "The Logic of Scientific Discovery." (7,796 citations) and Hutchison (2013) "The Logic of Scientific Discovery" (7,632 citations) provide falsificationism as a criterion for scientific theories. Star and Griesemer (1989) "Institutional Ecology, `Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39" (9,966 citations) builds on these by modeling social cooperation in practice. Kuhn's ideas in Böhm and Kühn (1964) "The Structure of Scientific Revolutions." (9,229 citations) and McGuire (1963) "THE STRUCTURE OF SCIENTIFIC REVOLUTIONS" (8,499 citations) explain historical shifts incorporating such mechanisms.

Paper Timeline

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graph LR P0["THE STRUCTURE OF SCIENTIFIC REVO...
1963 · 8.5K cites"] P1["The Structure of Scientific Revo...
1964 · 9.2K cites"] P2["Availability: A heuristic for ju...
1973 · 9.7K cites"] P3["Institutional Ecology, `Translat...
1989 · 10.0K cites"] P4["A power primer.
1992 · 41.0K cites"] P5["The Logic of Scientific Discovery
2013 · 7.8K cites"] P6["A Mathematical Theory of Evidence
2020 · 11.9K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P4 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Research continues on mechanistic explanation, evolutionary synthesis, and causation without recent preprints or news. Focus persists on topics like genetic information and developmental biology from the 90,642 works.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 A power primer. 1992 Psychological Bulletin 41.0K
2 A Mathematical Theory of Evidence 2020 Princeton University P... 11.9K
3 Institutional Ecology, `Translations' and Boundary Objects: Am... 1989 Social Studies of Science 10.0K
4 Availability: A heuristic for judging frequency and probability 1973 Cognitive Psychology 9.7K
5 The Structure of Scientific Revolutions. 1964 The Philosophical Quar... 9.2K
6 THE STRUCTURE OF SCIENTIFIC REVOLUTIONS 1963 Philosophical Books 8.5K
7 The Logic of Scientific Discovery 2013 7.8K
8 Risk, Ambiguity, and the Savage Axioms 1961 The Quarterly Journal ... 7.7K
9 The spandrels of San Marco and the Panglossian paradigm: a cri... 1979 Proceedings of the Roy... 7.7K
10 The Logic of Scientific Discovery. 1959 Economica 7.6K

Frequently Asked Questions

What is a boundary object in scientific collaboration?

Boundary objects are objects that inhabit several intersecting social worlds and satisfy the informational requirements of each. Star and Griesemer (1989) in "Institutional Ecology, `Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39" describe them as managing tension between heterogeneous actors like amateurs and professionals in Berkeley's Museum of Vertebrate Zoology from 1907-39. They enable cooperation while preserving divergent viewpoints.

What is falsificationism in philosophy of science?

Falsificationism holds that scientific theories cannot be proven true but can be falsified by evidence. Popper (1959) in "The Logic of Scientific Discovery." and Hutchison (2013) in "The Logic of Scientific Discovery" introduce this doctrine, influencing scientists with ideas like rejecting unfalsifiable claims. It revolutionized thinking on scientific knowledge and validation.

What is statistical power analysis?

Statistical power analysis determines required sample sizes to detect effects in experiments. Cohen (1992) in "A power primer" presents effect-size indexes and sample sizes for behavioral sciences, addressing neglect due to inaccessible material. It has 41,033 citations for practical research design.

What critiques the adaptationist programme in evolution?

The adaptationist programme assumes natural selection optimizes traits by breaking organisms into unitary parts. Gould and Lewontin (1979) in "The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme" critique this faith-based approach using spandrels as non-adaptive examples. Cited 7,679 times, it promotes alternative explanations like byproducts in developmental biology.

What is the structure of scientific revolutions?

Scientific revolutions occur through paradigm shifts replacing old frameworks with new ones. Böhm and Kühn (1964) review "The Structure of Scientific Revolutions." and McGuire (1963) in "THE STRUCTURE OF SCIENTIFIC REVOLUTIONS" discuss Thomas S. Kuhn's model of non-cumulative scientific change. These works, with over 9,000 and 8,000 citations, define historical shifts in scientific models.

Open Research Questions

  • ? How do social mechanisms and boundary objects facilitate translation across heterogeneous scientific communities?
  • ? What distinguishes mechanistic explanations from other forms of biological causation?
  • ? How does evidence combination under uncertainty challenge traditional epistemic probability in scientific models?
  • ? Why do availability heuristics persist in scientific judgment of frequency and probability?
  • ? In what ways do critiques of adaptationism alter understandings of evolutionary synthesis and genetic information?

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