• PART I - Introduction



• 1: Phyllis McKay Illari, Federica Russo, Jon Williamson: Why look at Causality in the Sciences?



• PART II - Health Sciences



• 2: R. Paul Thompson: Causality, Theories, and Medicine



• 3: Alex Broadbent: Inferring Causation in Epidemiology: Mechanisms, Black Boxes, and Contrasts



• 4: Harold Kinkaid: Causal Modeling, Mechanism, and Probability in Epidemiology



• 5: Bert Leuridan, Erik Weber: The IARC and Mechanistic Evidence



• 6: Donald Gillies: The Russo-Williamson Thesis and the Question of whether Smoking Causes Heart Disease



• PART III - Psychology



• 7: David Lagnado: Causal Thinking



• 8: Benjamin Rottman, Woo-kyoung Ahn, Christian Luhmann: When and How Do People Reason about Unobserved Causes?



• 9: Clare R Walsh, Steven A Sloman: Counterfactual and Generative Accounts of Causal Attribution



• 10: Ken Aizawa, Carl Gillet: The Autonomy of Psychology in the Age of Neuroscience



• 11: Otto Lappi, Anna-Mari Rusanen: Turing Machines and Causal Mechanisms in Cognitive Science



• 12: Keith A. Markus: Real Causes and Ideal Manipulations: Pearl's Theory of Causal Inference from the Point of View of Psychological Research Methods



• PART IV - Social Sciences



• 13: Daniel Little: Causal Mechanisms in the Social Realm



• 14: Ruth Groff: Getting Past Hume in the Philosophy of Social Science



• 15: Michel Mouchart, Federica Russo: Causal Explanation: Recursive Decompositions and Mechanisms



• 16: Kevin D. Hoover: Counterfactuals and Causal Structure



• 17: Damien Fennell: The Error Term and its Interpretation in Structural Models in Econometrics



• 18: Hossein Hassani, Anatoly Zhigljavsky, Kerry Patterson, Abdol S. Soofi: A Comprehensive Causality Test Based on the Singular Spectrum Analysis



• PART V - Natural Sciences



• 19: Tudor M. Baetu: Mechanism Schemas and the Relationship Between Biological Theories



• 20: Roberta L. Millstein: Chances and Causes in Evolutionary Biology: How Many Chances Become One Chance



• 21: Sahotra Sarkar: Drift and the Causes of Evolution



• 22: Garrett Pendergraft: In Defense of a Causal Requirement on Explanation



• 23: Paolo Vineis, Aneire Khan, Flavio D'Abramo: Epistemological Issues Raised by Research on Climate Change



• 24: Giovanni Boniolo, Rossella Faraldo, Antonio Saggion: Explicating the Notion of 'Causation': the Role of the Extensive Quantities



• 25: Miklos Redei, Balazs Gyenis: Causal Completeness of Probability Theories-results and Open Problems



• PART VI - Computer Science, Probability, and Statistics



• 26: Isabelle Guyon, C. Aliferis, G. Cooper, A. Elisseeff J.-P. Pellet, P. Spirtes, A. Statnikov: Causality Workbench



• 27: Jan Lemeire, Kris Steenhaut, Abdellah Touhafi: When are Graphical Models not Good Models



• 28: Dawn E. Holmes: Why Making Bayesian Networks Objectively Bayesian Make Sense



• 29: Branden Fitelson, Christopher Hitchcock: Probabilistic Measures of Causal Strength



• 30: Kevin B Korb, Erik P. Nyberg, Lucas Hope: A New Causal Power Theory



• 31: Samantha Kleinberg, Bud Mishra: Multiple Testing of Causal Hypotheses



• 32: Ricardo Silva: Measuring Latent Causal Structure



• 33: Judea Pearl: The Structural Theory of Causation



• 34: Sara Geneletti, A. Philip Dawid: Defining and Identifying the Effect of Treatment on the Treated



• 35: Nancy Cartwright: Predicting 'It Will Work for Us': (Way) Beyond Statistics



• PART VII - Causality and Mechanisms



• 36: Stathis Psillos: The Idea of Mechanism



• 37: Stuart Glennan: Singular and General Causal Relations: A Mechanist Perspective



• 38: Phyllis McKay Illari, Jon Williamson: Mechanisms are Real and Local



• 39: Jim Bogen, Peter Machamer: Mechanistic Information and Causal Continuity



• 40: Phil Dowe: The Causal-Process-Model Theory of Mechanisms



• 41: M. Kuhlmann: Mechanisms in Dynamically Complex Systems



• 42: Julian Reiss: Third Time's a Charm: Causation, Science, and Wittgensteinian Pluralism



• Index