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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.

Rani Lill Anjum is a Researcher of Philosophy at the Norwegian University of Life Sciences (NMBU), working on the relationship between the philosophy of causation and scientific methods. Her PhD is on the logic of conditionals. During her Postdoc at Tromsoe and Nottingham, she wrote the book Getting Causes from Powers (Oxford 2011) with Stephen Mumford, developing a new dispositional theory of causation. As a result of her research project at NMBU, 'Causation in Science', they also co-wrote Causation: A Very Short Introduction (Oxford 2013). Her current research project is 'Causation, Complexity and Evidence in Health Sciences' (CauseHealth).

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) and Causation: a Very Short Introduction (Oxford 2013, with Rani Lill Anjum).

Part I Science and Philosophy
1 Metascience and Better Science
2 Do We Need Causation in Science?
3 Evidence of Causation Is Not Causation
Part II Perfect Correlation
4 What’s in a Correlation?
5 Same Cause, Same Effect
6 Under Ideal Conditions
7 One Effect, One Cause?
Part III Interference and Prevention
8 Have Your Cause and Beat It
9 From Regularities to Tendencies
10 The Modality of Causation
Part IV Causal Mechanisms
11 Is the Business of Science to Construct Theories?
12 Are More Data Better?
13 The Explanatory Power of Mechanisms
14 Digging Deeper to Find the Real Causes?
Part 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?
Part VI Probability
19 Uncertainty, Certainty, and Beyond
20 What Probabilistic Causation Should Be
21 Calculating Conditional Probability?
Part VII External Validity
22 Risky Predictions
23 What RCTs Do Not Show
Part 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
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