Decision Making under Deep Uncertainty: From Theory to PracticeVincent A. W. J. Marchau, Warren E. Walker, Pieter J. T. M. Bloemen, Steven W. Popper This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares. |
Other editions - View all
Decision Making Under Deep Uncertainty Steven W Popper,Warren E Walker,Pieter J T M Bloemen No preview available - 2020 |
Decision Making Under Deep Uncertainty Steven W Popper,Warren E Walker,Pieter J T M Bloemen No preview available - 2020 |
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adaptation pathways adaptive plan adaptive strategies alternative analytic application approaches and tools assessment Assumption-Based Planning capacity carbon tax Chap chapter chapter’s Creative Commons climate change Colorado River context cost Creative Commons Creative Commons licence DAPP decision support decisionmaking deep uncertainty Delft Delta programme demand DMDU approaches effects engineering Environmental evaluation example Exploratory Modeling explore flexibility flood risk management focuses Haasnoot identify impacts implementation info-gap Info-Gap Decision Theory infrastructure initial plan investments knowledge Kwakkel Lempert long-term Marchau monitoring Netherlands NTSB optimal Options Analysis outcomes performance requirement planned adaptation plausible futures policymakers potential predicted problem projections RAND Corporation range regional response Robust Decision robustness function scenarios Schiphol sea level rise simulation specific stakeholders Step stress test Technology tipping points triggers uncertain variables water management Water Resources