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Decision Making under Deep Uncertainty

Overview of attention for book
Decision Making under Deep Uncertainty
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Robust Decision Making (RDM)
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    Chapter 3 Dynamic Adaptive Planning (DAP)
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    Chapter 4 Dynamic Adaptive Policy Pathways (DAPP)
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    Chapter 5 Info-Gap Decision Theory (IG)
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    Chapter 6 Engineering Options Analysis (EOA)
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    Chapter 7 Robust Decision Making (RDM): Application to Water Planning and Climate Policy
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    Chapter 8 Dynamic Adaptive Planning (DAP): The Case of Intelligent Speed Adaptation
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    Chapter 9 Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice
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    Chapter 10 Info-Gap (IG): Robust Design of a Mechanical Latch
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    Chapter 11 Engineering Options Analysis (EOA): Applications
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    Chapter 12 Decision Scaling (DS): Decision Support for Climate Change
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    Chapter 13 A Conceptual Model of Planned Adaptation (PA)
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    Chapter 14 DMDU into Practice: Adaptive Delta Management in The Netherlands
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    Chapter 15 Supporting DMDU: A Taxonomy of Approaches and Tools
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    Chapter 16 Reflections: DMDU and Public Policy for Uncertain Times
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    Chapter 17 Conclusions and Outlook
Attention for Chapter 7: Robust Decision Making (RDM): Application to Water Planning and Climate Policy
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Chapter title
Robust Decision Making (RDM): Application to Water Planning and Climate Policy
Chapter number 7
Book title
Decision Making under Deep Uncertainty
Published by
Springer, Cham, April 2019
DOI 10.1007/978-3-030-05252-2_7
Book ISBNs
978-3-03-005251-5, 978-3-03-005252-2
Authors

David G. Groves, Edmundo Molina-Perez, Evan Bloom, Jordan R. Fischbach

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Master 7 16%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Doctoral Student 2 4%
Other 3 7%
Unknown 12 27%
Readers by discipline Count As %
Engineering 11 24%
Environmental Science 6 13%
Social Sciences 6 13%
Business, Management and Accounting 2 4%
Earth and Planetary Sciences 2 4%
Other 5 11%
Unknown 13 29%

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