Description
Book SynopsisThis 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.
Table of ContentsChapter 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.
