Acceptable Evidence: Science and Values in Risk Management
Deborah G. Mayo (Editor), Mayo, Rachelle D. HollanderBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Discussions of science and values in risk management have largely focused on how values enter into arguments about risks, that is, issues of acceptable risk. Instead this volume concentrates on how values enter into collecting, interpreting, communicating, and evaluating the evidence of risks, that is, issues of the acceptability of evidence of risk. By focusing on acceptable evidence, this volume avoids two barriers to progress. One barrier assumes that evidence of risk is largely a matter of objective scientific data and therefore uncontroversial. The other assumes that evidence of risk, being "just" a matter of values, is not amenable to reasoned critique. Denying both extremes, this volume argues for a more constructive conclusion: understanding the interrelations of scientific and value issues enables a critical scrutiny of risk assessments and better public deliberation about social choices. The contributors, distinguished philosophers, policy analysts, and natural and social scientists, analyze environmental and medical controversies, and assumptions underlying views about risk assessment and the scientific and statistical models used in risk management.
Synopsis
Discussions of science and values in risk management have largely focussed on the entry of values in judging risks, that is, issues of acceptable risk. This volume instead concentrates on the entry of values in collecting, interpreting, communicating, and evaluating the evidence of risks, that is, issues of the acceptability of evidence of risk. By focusing on acceptable evidence, this volume avoids two barriers to progress: views that assume that evidence of risk is largely a matter of objective scientific data and therefore uncontroversial, and views that assume that evidence of risk is ineluctably a matter of values and therefore not amenable to reasoned critique. This volume denies both extremes. It argues for a more constructive conclusion: that understanding the interrelations of scientific with value issues enables a critical scrutiny of risk assessments. This volume analyzes environmental and medical controversies, and assumptions underlying views about risk assessment and the scientific and statistical models used in risk management. Contributors include philosophers, policy analysts, and natural and social scientists.