The idea that predictive science can simplify the decision-making process by creating a clearer picture of the future is deeply appealing in principle, but deeply problematic in practice.
Prediction offers a fascinating and wide-ranging look at the interdependent scientific, political, and social factors involved in using science-based predictions to guide policy making. Through ten detailed case studies, it explores society's efforts to generate reliable scientific information about complex natural systems and to use that information in making sound policy decisions. The book:
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Daniel Sarewitz directs the Washington, DC office of the Arizona State University Consortium for Science, Policy, and Outcomes. He has worked on Capitol Hill as a Congressional Science Fellow and as science consultant to the House of Representatives Committee on Science, Space, and Technology, where he was also principal speech writer for Committee Chairman George E. Brown, Jr. Dr. Sarewitz teaches courses on decision making and uncertainty, and U.S. science and technology policy.
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