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Mental Modeling Approach

Risk Management Application Case Studies

  • Book
  • © 2017

Overview

Authors:
  1. Matthew D. Wood

    1. U.S. Army Corps of Engineers, Carnegie Mellon University, Concord, USA

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  2. Sarah Thorne

    1. Decision. Partners Inc., Decision Partners, LLC, Mississauga, USA

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  3. Daniel Kovacs

    1. Decision Partners, LLC, Pittsburgh, USA

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  4. Gordon Butte

    1. Decision Partners, LLC, Pittsburgh, USA

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  5. Igor Linkov

    1. U.S. Army Corps of Engineers, Carnegie Mellon University, Concord, USA

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  • Mental Modeling provides an easy-to-read, user-oriented introduction to mental models research and Mental Modeling TechnologyTM
  • Mental models are powerful influences human behavior. The book offers insight from the developers and most experienced application professionals of a widely proven methodology for understanding and influencing human judgment, decision making and behavior
  • The case studies show examples of the methodological concepts in their application context. It is one of the most comprehensive collections of cases focused on government needs of any similar qualitative analysis approach. Finally, it presents an introduction to software tools and tutorials that enable readers to use the approach for their own research needs
  • Includes supplementary material: sn.pub/extras

Part of the book series: Risk, Systems and Decisions (RSD)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxvii
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  2. An Introduction to Mental Modeling

    • Matthew D. Wood, Sarah Thorne, Daniel Kovacs, Gordon Butte, Igor Linkov
    Pages 1-9

  3. The Mental Modeling Approach

    1. Front Matter

      Pages 11-11
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    2. Mental Modeling Research Technical Approach

      • Sarah Thorne, Gordon Butte, Daniel Kovacs, Matthew D. Wood
      Pages 13-30

    3. Science of Mental Modeling

      • Matthew D. Wood, Igor Linkov
      Pages 31-40

  4. Applications at U.S. Army Corps of Engineers (USACE)

    1. Front Matter

      Pages 41-41
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    2. Flood Risk Management

      • Matthew D. Wood, Igor Linkov, Daniel Kovacs, Gordon Butte
      Pages 43-56

    3. Adaptive Management for Climate Change

      • Matthew D. Wood, Sarah Thorne, Gordon Butte, Igor Linkov, Daniel Kovacs
      Pages 57-67

    4. Technology Infusion and Marketing

      • Matthew D. Wood, Sarah Thorne, Gordon Butte
      Pages 69-82

  5. Applications in Other Contexts and Industries

    1. Front Matter

      Pages 83-83
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    2. Farmers’ Decision Making to Avoid Drug Residues in Dairy Cows: A Mental Modeling Case Study

      • Sarah Thorne, Gordon Butte
      Pages 85-104

    3. Influence of the CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: A Customized Strategic Communications Process Based on Mental Modeling

      • Daniel Kovacs, Sarah Thorne, Gordon Butte
      Pages 105-131

    4. The Chamber of Mines of South Africa Leading Practice Adoption System

      • John Stewart, Gordon Butte
      Pages 133-151

    5. Conducting Effective Outreach with Community Stakeholders About Biosolids: A Customized Strategic Risk Communications Process™ Based on Mental Modeling

      • Sara Eggers, Sarah Thorne
      Pages 153-177

    6. Using Mental Modeling to Systematically Build Community Support for New Coal Technologies for Electricity Generation

      • Sarah Thorne, Megan Young
      Pages 179-194

    7. Saving Lives from a Silent Killer: Using Mental Modeling to Address Homeowners’ Decision Making About Carbon Monoxide Poisoning

      • Sarah Thorne, Gordon Butte, Sarah Hailey
      Pages 195-221

    8. U.S. Census Bureau Integrated Communications Services for Data Dissemination: Mental Modeling Case Study with Key Internal Expert Stakeholders

      • Daniel Kovacs, Sarah Thorne
      Pages 223-236

  6. Mental Modeling Software Support

    1. Front Matter

      Pages 237-237
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    2. Supporting and Expanding the Scope and Application of Mental Modeling: Current and Future Software Developments

      • Daniel Kovacs, Alex Tkachuk, Gordon Butte, Sarah Thorne
      Pages 239-254

  7. Back Matter

    Pages 255-261
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Keywords

About this book

This book provides an easy-to-read, user-oriented introduction to mental models research and Mental Modeling TechnologyTM.  Mental models are powerful influences human behavior. The book offers insight from the developers and most experienced application professionals of a widely proven methodology for understanding and influencing human judgment, decision making and behavior. 


The case studies show examples of the methodological concepts in their application context. It is one of the most comprehensive collections of cases focused on government needs of any similar qualitative analysis approach. Finally, it presents an introduction to software tools and tutorials that enable readers to use the approach for their own research needs.




Authors and Affiliations

  • U.S. Army Corps of Engineers, Carnegie Mellon University, Concord, USA

    Matthew D. Wood, Igor Linkov

  • Decision. Partners Inc., Decision Partners, LLC, Mississauga, USA

    Sarah Thorne

  • Decision Partners, LLC, Pittsburgh, USA

    Daniel Kovacs, Gordon Butte

Bibliographic Information

  • Book Title: Mental Modeling Approach

  • Book Subtitle: Risk Management Application Case Studies

  • Authors: Matthew D. Wood, Sarah Thorne, Daniel Kovacs, Gordon Butte, Igor Linkov

  • Series Title: Risk, Systems and Decisions

  • DOI: https://doi.org/10.1007/978-1-4939-6616-5

  • Publisher: Springer New York, NY

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2017

  • Hardcover ISBN: 978-1-4939-6614-1Published: 10 December 2016

  • Softcover ISBN: 978-1-4939-8251-6Published: 06 July 2018

  • eBook ISBN: 978-1-4939-6616-5Published: 09 December 2016

  • Series ISSN: 2626-6717

  • Series E-ISSN: 2626-6725

  • Edition Number: 1

  • Number of Pages: XXVII, 261

  • Number of Illustrations: 5 b/w illustrations, 61 illustrations in colour

  • Topics: Environmental Management, Simulation and Modeling, Energy Policy, Economics and Management

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