Causality in the Sciences

A volume of papers on causality across the sciences
edited by Phyllis McKay Illari, Federica Russo and Jon Williamson
under contract with Oxford University Press

 

INTRODUCTION

This book will contain original research papers that deal with causality and causal inference in the various sciences and with general questions concerning the relationships between causality, probability and mechanisms.

Some chapters will be invited contributions; others will be submitted to a call for papers. All papers will be subject to a reviewing process.

 

TIMETABLE

 

THE VOLUME

The volume will run to about 600 pages and will be subdivided into the following parts:

  1. Introduction
  2. Health sciences
  3. Social sciences
  4. Natural sciences
  5. Psychology and neuroscience
  6. Computer science and statistics
  7. Causality, probability and mechanisms

 

FOR AUTHORS

Each submission should be targeted at an interdisciplinary audience and should be accessible to graduate students beginning their studies in the sciences or philosophy. All papers should contain original research and should not contain material that is published elsewhere.

Authors are encouraged to submit their papers in LaTeX format, using an absolute minimum of stylistic adjustments. LaTeX style files can be downloaded here (please enter your text in the "template.tex" file and see "monog3.pdf" for instructions). Authors may alternatively submit papers in MS Word format.

 

ORGANISATION

This volume is organised by the Centre for Reasoning at the University of Kent. It is associated with the Causality in the Sciences series of conferences, with the research project Mechanisms and Causality funded by the Leverhulme Trust, and with the research project Levels of Causality and a Causality Study Fortnight funded by the British Academy.