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The idea that predictive science can simplify the decisionmaking process by creating a clearer picture of the future is deeply appealing in principle, but deeply problematic in practice.Prediction offers a fascinating and wideranging look at the interdependent scientific, political, and social factors involved in using sciencebased 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: provides an overview of predictive science from historical, scientific, political, and behavioral perspectives offers case studies of the use and misuse of scientific predictions on subjects ranging from asteroids to nuclear waste disposal proposes a practical analytical framework for the use of predictive science in setting policy recommends actions and policies that can increase the likelihood of effective decisions Contributors include Clark Chapman, Charles Herrick, William H. Hooke, Orrin Pilkey, Steve Rayner, Naomi Oreskes, Daniel Metlay, Stanley Changnon, Donald Gautier, Robert Moran, Joanne Nigg, and Thomas Stewart.Prediction is the first book to look at the numerous and varied scientific, social, and political factors involved in making and using predictions relevant to a wide range of current environmental controversies and challenges. It provides muchneeded context for understanding predictions and scientific pronouncements, and is an important work for anyone concerned with interactions between science and policy making.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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