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Philosophy of Science — Key Points

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1. Central questions - What distinguishes science from non-science? (Demarcation problem) - How do scientific theories explain and predict phenomena? - What is the nature of scientific reasoning (induction, deduction, abduction)? - How do observation and theory interact (theory-ladenness of observation)? - What is the status of scientific knowledge (realism vs. anti-realism)? 2. Major positions - Scientific Realism: Best scientific theories approximately truthfully describe unobservable entities (Putnam, Boyd). - Instrumentalism/Anti-Realism: Theories are tools for prediction, not necessarily true descriptions (van Fraassen). - Constructivism and Social Epistemology: Scientific knowledge is shaped by social processes, values, and institutions (Kuhn, Latour). - Structuralism and Model-Based Views: Science advances via models and structures rather than literal true statements (Suppe, Cartwright). 3. Methodology and reasoning - Induction: Generalizing from observations—problem of justifying induction (Hume). - Falsificationism: Popper’s idea that theories are scientific if falsifiable; emphasizes bold conjectures and refutations. - Bayesianism: Probabilistic updating of belief based on evidence. - Lakatos’ Research Programmes: Science progresses through competing research programmes with heuristics and protective belts. 4. Explanation and laws - Covering-law model: Explanations subsume phenomena under general laws (Hempel). - Causal/mechanistic accounts: Explanations cite causes or mechanisms producing phenomena (Salmon, Craver). - Pragmatic and pluralist views: Multiple types of explanation depending on context. 5. Values, objectivity, and ethics - Science aims for objectivity, but choices about methods, significance, and application involve epistemic and non-epistemic values. - Responsible research requires transparency, reproducibility, and ethical reflection. 6. Contemporary issues - Replication crisis and reliability of findings. - Role of models, simulations, and big data. - Science policy, public trust, and science communication. Further reading (concise) - Peter Godfrey-Smith, Theory and Reality (2003) - Karl Popper, The Logic of Scientific Discovery (1959) - Thomas Kuhn, The Structure of Scientific Revolutions (1962) - Bas van Fraassen, The Scientific Image (1980) If you want, I can explain any one of these points in more detail or compare specific positions (e.g., realism vs. van Fraassen).

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Objectivity in Science and the Role of Values

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Science aims to produce objective knowledge: methods, evidence, and communal scrutiny are used to minimize individual bias and secure reliable claims about the world. Objectivity is pursued through repeatable experiments, transparent methods, peer review, and statistical standards so that results do not rest on any single scientist’s whims. Yet choice points in scientific practice are shaped by both epistemic and non‑epistemic values: - Epistemic values guide what counts as good science (e.g., accuracy, coherence, simplicity, explanatory power, predictive success). These values influence which hypotheses are favored, which methods are chosen, and how evidence is interpreted because they promote truth‑tracking and reliable inference. (See Laudan 1977; Kitcher 1993.) - Non‑epistemic values (social, ethical, political, economic) enter decisions that are not determined by evidence alone: what questions to investigate, acceptable risk thresholds, how to balance costs and benefits, and how to apply results. For example, deciding whether to fund research into risky technologies, or setting clinical trial stopping rules, requires judgments about safety, justice, or public welfare. (See Douglas 2009; Longino 1990.) Because these non‑epistemic values legitimately shape priorities and applications, complete detachment is neither possible nor desirable. The key is transparency and critical scrutiny: make value judgments explicit, justify them, and show how they influence methods and interpretations. This preserves the epistemic integrity of science while responsibly acknowledging its social embedding. References (select): - K. R. Popper, The Logic of Scientific Discovery (1959) - Larry Laudan, Progress and Its Problems (1977) - Heather Douglas, Science, Policy, and the Value‑Free Ideal (2009) - Helen Longino, Science as Social Knowledge (1990)

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