Phyllis Illari is Lecturer in Philosophy of Science in the Science and Technology Studies department at University College London. Before joining UCL in 2013, she finished a project on Information Quality with Luciano Floridi, and previously completed a project on Mechanisms and Causality with Jon Williamson. She is primarily research active in the philosophy of science, particularly the philosophy of causality and the philosophy of information. She is on the editorial board of the journal Philosophy and Technology, and on the committee of the British Society for the Philosophy of Science. She is the author of numerous articles in the philosophy of science and edited volumes and special issues on causality in the sciences, including Causality in the Sciences (OUP 2011) with Federica Russo and Jon Williamson. Since 2008, she and Federica Russo have been members of the Steering Committee of the 'Causality in the Sciences' conference series.

Federica Russo is Assistant Professor at the University of Amsterdam and has visited the Centre for Philosophy of Natural and Social Science (London School of Economics) from April 2004 to January 2005 and the Center for Philosophy of Science (Pittsburgh) from January to April 2009. She is interested in causality and probability in the social, biomedical and policy sciences, as well as in the philosophical, legal, and social, implications of technology. Federica is part of the editorial board of the journals Philosophy and Technology and Topoi. She is the author of Causality and causal modelling in the social sciences. Measuring variations (Springer, 2009), and of numerous articles (sole or co-authored) on causality in the social, biomedical, and policy sciences. She has edited several volumes in philosophy of science and technology, including Causality in the Sciences (OUP 2011) with Phyllis Illari and Jon Williamson.

• I PRELUDE TO CAUSALITY


• 1: Problems of causality in the sciences


• 2: A scientific toolbox for philosophy


• 3: A philosophical toolbox for science


• II CAUSALITY: ACCOUNTS, CONCEPTS, AND METHODS


• 4: Necessary and sufficient components


• 5: Levels of causation


• 6: Causality and evidence


• 7: Causal methods: probing the data


• 8: Difference-making: probabilistic causality


• 9: Difference-making: counterfactuals


• 10: Difference-making: manipulation and invariance


• 11: Production accounts: processes


• 12: Production accounts: mechanisms


• 13: Production accounts: information


• 14: Capacities, powers, dispositions


• 15: Regularity


• 16: Variation


• 17: Causality and action


• 18: Causality and inference


• III APPROACHES TO EXAMINING CAUSALITY


• 19: How we got to the Causality in the Sciences approach (CitS)


• 20: Examples and counterexamples


• 21: Truth or models?


• 22: Epistemology, metaphysics, method, semantics, use


• IV CONCLUSION: TOWARDS A CAUSAL MOSAIC


• 23: Pluralism


• 24: The causal mosaic under construction: the example of exposomics