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    1. Filosofi och religion
    2. Filosofi
    3. Filosofiska discipliner

    Causation in Science and the Methods of Scientific Discovery

    AvRani Lill Anjum,Stephen Mumford

    Inbunden, Engelska, 2018

    1 319 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Causation is the main foundation upon which the possibility of science rests. Without causation, there would be no scientific understanding, explanation, prediction, nor application in new technologies. How we discover causal connections is no easy matter, however. Causation often lies hidden from view and it is vital that we adopt the right methods for uncovering it. The choice of methods will inevitably reflect what one takes causation to be, making an accurate account of causation an even more pressing matter. This enquiry informs the correct norms for an empirical study of the world.In Causation in Science and the Methods of Scientific Discovery, Rani Lill Anjum and Stephen Mumford propose nine new norms of scientific discovery. A number of existing methodological and philosophical orthodoxies are challenged as they argue that progress in science is being held back by an overly simplistic philosophy of causation.

    Produktinformation

    • Utgivningsdatum:2018-10-23
    • Mått:164 x 243 x 23 mm
    • Vikt:618 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:304
    • Förlag:OUP OXFORD
    • ISBN:9780198733669

    Utforska kategorier

    • Filosofiska discipliner inom Filosofi och religion
    • Naturvetenskapens filosofi inom Naturvetenskap och teknik

    Mer om författaren

    Rani Lill Anjum is Researcher in Philosophy and Director of the Centre for Applied Philosophy of Science (CAPS) at the Norwegian University of Life Sciences (NMBU). She was postdoctoral fellow at the universities of Tromsø and Nottingham, the result of which was Getting Causes from Powers (Oxford 2011) with Stephen Mumford. At NMBU, she then led the Causation in Science research project and co-wrote Causation: A Very Short Introduction (Oxford 2013) and What Tends to Be: the Philosophy of Dispositional Modality (Routledge, 2018), both with Stephen Mumford. She currently leads the research project Causation, Complexity and Evidence in Health Sciences (CauseHealth), funded by the Research Council of Norway (NFR).Stephen Mumford is Professor of Metaphysics in the Department of Philosophy at Durham University as well as Professor II at Norwegian University of Life Sciences (NMBU). He is the author of Dispositions (Oxford 1998), Russell on Metaphysics (Routledge 2003), Laws in Nature (Routledge 2004), David Armstrong (Acumen 2007), Watching Sport: Aesthetics, Ethics and Emotion (Routledge 2011), Getting Causes from Powers (Oxford 2011, with Rani Lill Anjum), Metaphysics: A Very Short Introduction (Oxford 2012), Causation: A Very Short Introduction (Oxford 2013, with Rani Lill Anjum), Glimpse of Light (Bloomsbury, 2017) and What Tends to Be (Routledge 2018, with Rani Lill Anjum).

    Recensioner i media

    Rather, Anjum and Mumford's new text makes an appeal to scientists and to those thinking about science ... to think more critically about causation as a tendency rather than a regularity, as it has more classically been treated ... Recommended.

    Innehållsförteckning

    • I. Science and Philosophy 1: Metascience and Better Science 2: Do We Need Causation in Science? 3: Evidence of Causation is Not Causation II. Perfect Correlation 4: What s in a Correlation? 5: Same Cause, Same Effect 6: Under Ideal Conditions 7: One Effect, One Cause? III. Interference and Prevention 8: Have Your Cause and Beat It 9: From Regularities to Tendencies 10: The Modality of Causation IV. Causal Mechanisms 11: Is the Business of Science to Construct Theories? 12: Is More Data Better? 13: The Explanatory Power of Mechanisms 14: Digging Deeper to Find the Real Causes? V. Linking Causes to Effects 15: Making a Difference 16: Making Nothing Happen 17: It All Started With a Big Bang 18: Does Science Need Laws of Nature? VI. Probability 19: Uncertainty, Certainty and Beyond 20: What Probabilistic Causation Should Be 21: Calculating Conditional Probability? VII. External Validity 22: Risky Predictions 23: What RCTs Do Not Show VIII. Discovering Causes and Understanding Them 24: Getting Involved 25: Uncovering Causal Powers 26: Learning From Causal Failure 27: Plural Methods, One Causation 28: Getting Real About the Ideals of Science Conclusion: New Norms of Science