Causal inference is perhaps the most important form ofreasoning in the sciences. A panoply of disciplines, ranging fromepidemiology to biology, from econometrics to physics, makeuse of probability and statistics in order to infer causalrelationships. However, the very foundations of causal inferenceare up in the air; it is by no means clear which methods of causalinference should be used, nor why they work when they do.This book brings philosophers and scientists together to tackle these important questions. The papers in this volume shed light on the relationship between causality and probability and the application of these concepts within the sciences. With its interdisciplinary perspective and its careful analysis, "Causality and Probability in the Sciences" heralds the transition of causal inference from an art to a science.