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Systems mapping = how to build and u...

Barbrook-Johnson, Pete.

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Systems mapping = how to build and use causal models of systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Systems mapping/ by Pete Barbrook-Johnson, Alexandra S. Penn.
Reminder of title:	how to build and use causal models of systems /
Author:	Barbrook-Johnson, Pete.
other author:	Penn, Alexandra S.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 186 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	System theory. -
Online resource:	https://doi.org/10.1007/978-3-031-01919-7
ISBN:	9783031019197

Systems mapping = how to build and use causal models of systems /
Barbrook-Johnson, Pete.

Systems mappinghow to build and use causal models of systems /[electronic resource] :by Pete Barbrook-Johnson, Alexandra S. Penn. - Cham :Springer International Publishing :2022. - xvii, 186 p. :ill., digital ;24 cm.

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.

Open access.

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.

ISBN: 9783031019197

Standard No.: 10.1007/978-3-031-01919-7doiSubjects--Topical Terms:

525574
System theory.

LC Class. No.: Q295

Dewey Class. No.: 003

Systems mapping = how to build and use causal models of systems /
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245 1 0 $a Systems mapping $h [electronic resource] : $b how to build and use causal models of systems / $c by Pete Barbrook-Johnson, Alexandra S. Penn.
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300 $a xvii, 186 p. : $b ill., digital ; $c 24 cm.
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505 0 $a 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.
506 $a Open access.
520 $a 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.
650 0 $a System theory. $3 525574
650 0 $a Causation. $3 564655
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650 2 4 $a Human Geography. $3 896266
650 2 4 $a Sociological Methods. $3 3594063
700 1 $a Penn, Alexandra S. $3 3602545
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-01919-7
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