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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 12: Decision Scaling (DS): Decision Support for Climate Change
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Chapter title
Decision Scaling (DS): Decision Support for Climate Change
Chapter number 12
Book title
Decision Making under Deep Uncertainty
Published by
Springer, Cham, April 2019
DOI 10.1007/978-3-030-05252-2_12
Book ISBNs
978-3-03-005251-5, 978-3-03-005252-2
Authors

Casey Brown, Scott Steinschneider, Patrick Ray, Sungwook Wi, Leon Basdekas, David Yates

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Bachelor 4 12%
Student > Master 3 9%
Other 2 6%
Student > Doctoral Student 1 3%
Other 4 12%
Unknown 11 32%
Readers by discipline Count As %
Engineering 6 18%
Social Sciences 5 15%
Economics, Econometrics and Finance 2 6%
Earth and Planetary Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 5 15%
Unknown 13 38%

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