
Should We Risk It?
Exploring Environmental, Health, and Technological Problem Solving
Princeton University Press
Will be published approx. on 15. April 2001
Book
Paperback/Softback
424 pages
978-0-691-07457-3 (ISBN)
Description
How dangerous is smoking? What are the risks of nuclear power or of climate change? What are the chances of dying on an airplane? More importantly, how do we use this information once we have it? The demand for risk analysts who are able to answer such questions has grown exponentially in recent years. Yet programs to train these analysts have not kept pace. In this book, Daniel Kammen and David Hassenzahl address that problem. They draw together, organize, and seek to unify previously disparate theories and methodologies connected with risk analysis for health, environmental, and technological problems. They also provide a rich variety of case studies and worked problems, meeting the growing need for an up-to-date book suitable for teaching and individual learning. The specific problems addressed in the book include order-of-magnitude estimation, dose-response calculations, exposure assessment, extrapolations and forecasts based on experimental or natural data, modeling and the problems of complexity in models, fault-tree analysis, managing and estimating uncertainty, and social theories of risk and risk communication.
The authors cover basic and intermediate statistics, as well as Monte Carlo methods, Bayesian analysis, and various techniques of uncertainty and forecast evaluation. The volume's unique approach will appeal to a wide range of people in environmental science and studies, health care, and engineering, as well as to policy makers confronted by the increasing number of decisions requiring risk and cost/benefit analysis. Should We Risk It? will become a standard text in courses involving risk and decision analysis and in courses of applied statistics with a focus on environmental and technological issues.
The authors cover basic and intermediate statistics, as well as Monte Carlo methods, Bayesian analysis, and various techniques of uncertainty and forecast evaluation. The volume's unique approach will appeal to a wide range of people in environmental science and studies, health care, and engineering, as well as to policy makers confronted by the increasing number of decisions requiring risk and cost/benefit analysis. Should We Risk It? will become a standard text in courses involving risk and decision analysis and in courses of applied statistics with a focus on environmental and technological issues.
Reviews / Votes
"Daniel M. Kammen and David M. Hassenzahl have written a book that is essentially a well-annotated, comprehensive problem set for coursework or other training in risk assessment... [The authors] note that 'many people who ... must informally make decisions about risk ... learn the tools of the trade on the fly.' Should We Risk lt? goes a long way to provide training in problem solving for risk assessment."--Rebecca A. Efroymson, Endeavour "This book is highly recommended for those who practice risk analysis, and perhaps even more so, for those who earn their living making decisions based on risk analysis. It is especially recommended for anyone who wants to be provoked into thinking about the real world of the environment, health, and technology."--Jay Turim, Risk Analysis "Should We Risk It?, an exciting new text, explores the nature and the methods of risk analysis through a set of carefully selected, critically analyzed and clearly explained problems... [A] fascinating tour of the field."--John S. Evans, Science "This is a truly innovative and timely book that addresses the concepts of risk and its management from a problem-solving perspective... It leads the reader step-by-step through many of the dimensions of risk management."--Simon Gerrard, EnvironmentMore details
Language
English
Place of publication
New Jersey
United States
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Illustrations
82 line illus., 77 tables
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 23 mm
Weight
644 gr
ISBN-13
978-0-691-07457-3 (9780691074573)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Daniel M. Kammen | David M. Hassenzahl
Should We Risk It?
Exploring Environmental, Health, and Technological Problem Solving
E-Book
11/2018
1st Edition
Princeton University Press
€66.49
Available for download
Persons
Daniel M. Kammen is Associate Professor of Energy and Society and director of the Renewable and Appropriate Energy Laboratory at the University of California, Berkeley. He has received international awards for his work on renewable energy and development and for his work on risk analysis and forecasting. David M. Hassenzahl is Assistant Professor of Environmental Studies at the University of Nevada, Las Vegas. He has been an environmental risk professional in both the public and private sectors.School of Public and International Affairs, Princeton University, where his research is focused on the role of risk analysis in policy making. He has been an environmental risk professional in both the public and private sectors.
Content
PrefaceAcknowledgments1Introduction32Basic Models and Risk Problems313Review of Statistics for Risk Analysis834Uncertainty, Monte Carlo Methods, and Bayesian Analysis1225Toxicology1536Epidemiology1997Exposure Assessment2318Technological Risk2669Decision Making30410Risk Perception and Communication353App. AZ-Scores393App. BStudent's T-test395App. CChi-Squared Distribution398Index401