Causal questions are relevant to all sciences and social sciences, yet how we discover causal connections is no easy matter. Indeed, the choice of methods concerns the correct norms for the empirical study of the world. In this text, two experts on causation relate philosophical theory to scientific practice and propose nine new norms of discovery.
Causal questions are relevant to all sciences and social sciences, yet how we discover causal connections is no easy matter. Indeed, the choice of methods concerns the correct norms for the empirical study of the world. In this text, two experts on causation relate philosophical theory to scientific practice and propose nine new norms of discovery.
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).
Inhaltsangabe
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
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
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Shop der buecher.de GmbH & Co. KG Bürgermeister-Wegele-Str. 12, 86167 Augsburg Amtsgericht Augsburg HRA 13309
