Includes bibliographical references and index. Open access.
Contents:
Chapter 1: Introduction -- Chapter 2: Rich Pictures -- Chapter 3:Theory of Change diagrams -- Chapter 4: Causal Loop Diagrams -- Chapter 5: Participatory Systems Mapping -- Chapter 6: Fuzzy Cognitive Mapping -- Chapter 7: Bayesian Belief Networks -- Chapter 8: System Dynamics -- Chapter 9: What data and evidence can you build system maps from? -- Chapter 10: Running systems mapping workshops -- Chapter 11: Comparing, choosing, and combining systems mapping methods -- Chapter 12: Conclusion.
Summary:
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.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.