Systems Mapping: How to build and use causal models of systems

Author:   Pete Barbrook-Johnson ,  Alexandra S. Penn
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
ISBN:  

9783031018336


Pages:   186
Publication Date:   02 July 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Systems Mapping: How to build and use causal models of systems


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Overview

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.

Full Product Details

Author:   Pete Barbrook-Johnson ,  Alexandra S. Penn
Publisher:   Springer International Publishing AG
Imprint:   Palgrave Macmillan
Edition:   1st ed. 2022
Weight:   0.400kg
ISBN:  

9783031018336


ISBN 10:   3031018338
Pages:   186
Publication Date:   02 July 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: IntroductionChapter 2: Rich PicturesChapter 3:Theory of Change diagramsChapter 4: Causal Loop DiagramsChapter 5: Participatory Systems MappingChapter 6: Fuzzy Cognitive MappingChapter 7: Bayesian Belief NetworksChapter 8: System DynamicsChapter 9: What data and evidence can you build system maps from?Chapter 10: Running systems mapping workshopsChapter 11: Comparing, choosing, and combining systems mapping methodsChapter 12: Conclusion.

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Author Information

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).

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