Time and Causality Across the Sciences

This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediately rule out the sound of a car crash as its cause. That a cause happens before its effect has been a core, and often unquestioned, part of how we describe causality. Research across disciplines shows that the relationship is much more complex than that. This book explores what that means for both the metaphysics and epistemology of causes - what they are and how we can find them. Across psychology, biology, and the social sciences, common themes emerge, suggesting that time plays a critical role in our understanding. The increasing availability of large time series datasets allows us to ask new questions about causality, necessitating new methods for modeling dynamic systems and incorporating mechanistic information into causal models.

Author: Samantha Kleinberg
Publisher: Cambridge University Press
Published: 09/26/2019
Pages: 270
Binding Type: Hardcover
Weight: 1.10lbs
Size: 9.40h x 6.53w x 0.74d
ISBN: 9781108476676

Review Citation(s):
Choice 06/01/2020

About the Author
Kleinberg, Samantha: - Samantha Kleinberg is an Associate Professor of computer science at Stevens Institute of Technology, New Jersey. She received her Ph.D. in computer science from New York University, and previously held an NSF/CRA Computing Innovation Fellowship at Columbia University. She is the recipient of NSF CAREER and JSMF Complex Systems Scholar Awards and is a Kavli Fellow of the National Academy of Sciences. She is the author of Causality, Probability and Time (Cambridge, 2012) and Why: A Guide to Finding and Using Causes (2015).