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  • Book
  • Open Access
  • © 2022

Systems Mapping

How to build and use causal models of systems

Palgrave Macmillan
  • Provides a practical and in-depth discussion of causal systems mapping methods

  • Provides guidance on running systems mapping workshops and using different types of data and evidence

  • Orientates readers to the systems mapping landscape and explores how we can compare, choose, and combine methods

  • This book is open access, which means that you have free and unlimited access

Buying options

Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvii
  2. Introduction

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 1-19Open Access
  3. Rich Pictures

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 21-32Open Access
  4. Theory of Change Diagrams

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 33-46Open Access
  5. Causal Loop Diagrams

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 47-59Open Access
  6. Participatory Systems Mapping

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 61-78Open Access
  7. Fuzzy Cognitive Mapping

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 79-95Open Access
  8. Bayesian Belief Networks

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 97-112Open Access
  9. System Dynamics

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 113-128Open Access
  10. What Data and Evidence Can You Build System Maps From?

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 129-143Open Access
  11. Running Systems Mapping Workshops

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 145-159Open Access
  12. Comparing, Choosing, and Combining Systems Mapping Methods

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 161-177Open Access
  13. Conclusion

    • Pete Barbrook-Johnson, Alexandra S. Penn
    Pages 179-182Open Access
  14. Back Matter

    Pages 183-186

About this book

This open access book explores a range of new and older systems mapping methods focused on representing causal relationships in systems. In a practical manner, it describes the methods and considers the differences between them; describes how to use them yourself; describes how to choose between and combine them; considers the role of data, evidence, and stakeholder opinion; and describes how they can be useful in a range of policy and research settings. This book provides a key starting point and general-purpose resource for understanding complex adaptive systems in practical, actionable, and participatory ways. The book successfully meets the growing need in a range of social, environmental, and policy challenges for a richer more nuanced, yet actionable and participatory understanding of the world. The authors provide a clear framework to alleviate any confusion about the use of appropriate terms and methods, enhance the appreciation of the value they can bring, and clearly explain the differences between approaches and the resulting outputs of mapping processes and analysis.


Keywords

  • systems mapping
  • complexity methods
  • participatory modelling
  • modelling
  • complex systems
  • social science research methods
  • social science
  • participatory systems mapping
  • Open Access

Authors and Affiliations

  • School of Geography and the Environment, University of Oxford, Oxford, UK

    Pete Barbrook-Johnson

  • Department of Sociology, University of Surrey, Guildford, UK

    Alexandra S. Penn

About the authors

Pete Barbrook-Johnson is a social scientist and complexity scientist working on a range of environmental and energy policy topics, using systems mapping, agent-based modelling, and other related approaches. He is a Departmental Research Lecturer at the University of Oxford and a member of the Centre for the Evaluation of Complexity Across the Nexus (CECAN).

Alexandra S. Penn is a complexity scientist working on combining participatory methodologies and mathematical models to create tools for stakeholders to understand and ‘steer’ their complex human ecosystems. She is a Senior Research Fellow at the University of Surrey and a member of the Centre for the Evaluation of Complexity Across the Nexus (CECAN).

Bibliographic Information

  • Book Title: Systems Mapping

  • Book Subtitle: How to build and use causal models of systems

  • Authors: Pete Barbrook-Johnson, Alexandra S. Penn

  • DOI: https://doi.org/10.1007/978-3-031-01919-7

  • Publisher: Palgrave Macmillan Cham

  • eBook Packages: Social Sciences, Social Sciences (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022

  • License: CC BY

  • Hardcover ISBN: 978-3-031-01833-6

  • eBook ISBN: 978-3-031-01919-7

  • Edition Number: 1

  • Number of Pages: XVII, 186

  • Number of Illustrations: 9 b/w illustrations, 13 illustrations in colour

  • Topics: Science and Technology Studies, Human Geography, Sociological Methods

Buying options

Hardcover Book USD 59.99
Price excludes VAT (USA)