Systems mapping : how to build and use causal models of systems

• Main Authors: Barbrook-Johnson, Pete, Penn, Alexandra S
• Format: eBook Book
• Language: English
• Published: Cham Palgrave Macmillan 2022; Springer Nature; Springer International Publishing; Springer International Publishing AG
• Edition: 1
• Subjects: Causation; complex systems; complexity methods; Geography; modelling; Nonfiction; participatory modelling; participatory systems mapping; Science; SOCIAL SCIENCE; social science research methods; Social sciences; Social sciences > Mathematical models; Social sciences > Statistical methods; Sociology; System theory; systems mapping
• ISBN: 3031018338; 9783031018336; 3031019199; 9783031019197
• DOI: 10.1007/978-3-031-01919-7

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.