Systems Mapping

How to build and use causal models of systems

Pete Barbrook-Johnson, Alexandra S. Penn (Autoren)

Buch | Hardcover

XVII, 186 Seiten

2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-01833-6 (ISBN)

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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.

lt;b>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 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).

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.

Erscheinungsdatum	06.07.2022
Zusatzinfo	XVII, 186 p. 22 illus., 13 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	148 x 210 mm
Gewicht	383 g
Themenwelt	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Sozialwissenschaften ► Soziologie ► Allgemeine Soziologie
	Sozialwissenschaften ► Soziologie ► Spezielle Soziologien
Schlagworte	complexity methods • Complex Systems • Modelling • open access • participatory modelling • participatory systems mapping • Social Science • Social science research methods • systems mapping
ISBN-10	3-031-01833-8 / 3031018338
ISBN-13	978-3-031-01833-6 / 9783031018336
Zustand	Neuware