This book brings together eleven case studies of inductive risk-the chance that scientific inference is incorrect-that range over a wide variety of scientific contexts and fields. The chapters are designed to illustrate the pervasiveness of inductive risk, assist scientists and policymakers in responding to it, and productively move theoretical discussions of the topic forward.
I think the individual chapters in this volume provide a set of interesting and important case studies of non-epistemic values in science. Scientists or philosophers looking for such case studies or for a general understanding of the roles that values can play in scientific practice can benefit from reading any of the chapters in this volume. Philosophers working specifically on inductive risk and the role of values in science, though, will benefit from considering the volume as a whole. What it implicitly shows, and what Biddle and Kukla explicitly argue, is that philosophers of science talking about inductive risk have not, to this point, had a clear idea of precisely what inductive risk is. This volume can, I think, help to start that conversation.
