M. Granger Morgan is the Hamerschlag Professor of Engineering at Carnegie Mellon University, Pennsylvania, where he was the founding Head of the Department of Engineering and Public Policy. He also holds appointments in Electrical and Computer Engineering and in the H. John Heinz III College of Public Policy and Management. He has worked extensively on policy problems that involve issues in science and technology. Much of his work has focused on the characterization and treatment of uncertainty, especially as applied to environmental issues, involving energy and electric power, and many aspects of the problem of climate change. Morgan's formal academic training is in applied physics. He is a member of the US National Academy of Sciences. He is the author of many papers and five books including Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis (Cambridge, 1990) and Risk Communication: A Mental Models Approach (Cambridge, 2001).
Inhaltsangabe
1. Policy analysis: an overview Part I. Making Decisions that Maximize Utility: 2. Preferences and the idea of utility 3. Benefit-cost analysis 4. Decision analysis 5. Valuing intangibles and other non-market outcomes 6. Multi-attribute utility theory and multi-criteria decision making with Jared L. Cohon 7. Preferences over time and across space Part II. Some Widely Used Analysis Tools and Topics: 8. Characterizing, analyzing, and communicating uncertainty 9. Expert elicitation 10. Risk analysis 11. The use of models in policy analysis Part III. How Individuals and Organizations Actually Make Decisions: 12. Human mental processes for perception, memory, and decision making 13. Risk perception and risk ranking 14. Risk communication 15. Organizational behavior and decision making Part IV. The Policy Process and S&T Policy (Mainly) in the United States: 16. Analysis and the policy process 17. The period prior to World War II 18. US science and technology policy from World War II to 1960 19. Science and technology advice to government Appendices Index.
1. Policy analysis: an overview Part I. Making Decisions that Maximize Utility: 2. Preferences and the idea of utility 3. Benefit-cost analysis 4. Decision analysis 5. Valuing intangibles and other non-market outcomes 6. Multi-attribute utility theory and multi-criteria decision making with Jared L. Cohon 7. Preferences over time and across space Part II. Some Widely Used Analysis Tools and Topics: 8. Characterizing, analyzing, and communicating uncertainty 9. Expert elicitation 10. Risk analysis 11. The use of models in policy analysis Part III. How Individuals and Organizations Actually Make Decisions: 12. Human mental processes for perception, memory, and decision making 13. Risk perception and risk ranking 14. Risk communication 15. Organizational behavior and decision making Part IV. The Policy Process and S&T Policy (Mainly) in the United States: 16. Analysis and the policy process 17. The period prior to World War II 18. US science and technology policy from World War II to 1960 19. Science and technology advice to government Appendices Index.
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