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E-raamat: Systems Mapping: How to build and use causal models of systems

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 01-Jul-2022
  • Kirjastus: Palgrave Macmillan
  • Keel: eng
  • ISBN-13: 9783031019197
  • Formaat - EPUB+DRM
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 01-Jul-2022
  • Kirjastus: Palgrave Macmillan
  • Keel: eng
  • ISBN-13: 9783031019197

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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.

1 Introduction 1(20)
Why Did We Write This Book and Who Is It For?
2(1)
What Is Systems Mapping?
3(2)
What Systems Mapping Methods Are in This Book?
5(2)
How Do These Methods Relate to One Another?
7(1)
What Methods Are Not in This Book?
8(6)
How Can Systems Mapping Be Useful?
14(2)
Why Think About Systems Mapping Now?
16(2)
What's in the Rest of This Book?
18(1)
References
18(3)
2 Rich Pictures 21(12)
What Are Rich Pictures?
22(3)
How Do You Do Rich Pictures?
25(2)
Common Issues and 'Tricks of the Trade'
27(2)
What Are Rich Pictures Good and Bad At?
29(1)
A Brief History of Rich Pictures
30(1)
Getting Started with Rich Pictures
31(1)
References
32(1)
3 Theory of Change Diagrams 33(14)
What Is Theory of Change Mapping?
34(4)
How Do You Create Theory of Change Diagrams?
38(3)
Common Issues and 'Tricks of the Trade'
41(2)
What Are Theory of Change Diagrams Good and Bad At?
43(1)
A Brief History of Theory of Change
43(1)
Getting Started with Theory of Change Mapping
44(1)
References
45(2)
4 Causal Loop Diagrams 47(14)
What Is a Causal Loop Diagram?
48(3)
How Do You Create Causal Loop Diagrams?
51(3)
Commons Issues and 'Tricks of the Trade'
54(1)
What Are Causal Loop Diagrams Good and Bad At?
55(1)
A Brief History of Causal Loop Diagrams
56(1)
Getting Started with Causal Loop Diagrams
57(1)
References
58(3)
5 Participatory Systems Mapping 61(18)
What Is Participatory Systems Mapping?
62(6)
How Do You Do Participatory Systems Mapping?
68(3)
Common Issues and 'Tricks of the Trade'
71(2)
What Is Participatory Systems Mapping Good and Bad At?
73(1)
A Brief History of Participatory Systems Mapping
74(1)
Getting Started with Participatory Systems Mapping Yourself
75(2)
References
77(2)
6 Fuzzy Cognitive Mapping 79(18)
What Is Fuzzy Cognitive Mapping?
80(7)
How Do You Do Fuzzy Cognitive Mapping?
87(3)
Common Issues and 'Tricks of the Trade'
90(2)
What Is Fuzzy Cognitive Mapping Good and Bad At?
92(1)
A Brief History of Fuzzy Cognitive Mapping
92(1)
Getting Started with Fuzzy Cognitive Mapping Yourself
93(1)
References
94(3)
7 Bayesian Belief Networks 97(16)
What Are Bayesian Belief Networks?
98(5)
How Do You Use Bayesian Belief Networks?
103(4)
Common Issues and 'Tricks of the Trade'
107(1)
What Are Bayesian Belief Networks Good and Bad At?
108(1)
A Brief History of Bayesian Belief Networks
109(1)
Getting Started with Bayesian Belief Networks
110(2)
References
112(1)
8 System Dynamics 113(16)
What Is System Dynamics?
114(6)
How Do You Do System Dynamics?
120(3)
Common Issues and 'Tricks of the Trade'
123(1)
What Is System Dynamics Good and Bad At?
124(1)
A Brief History of System Dynamics
125(1)
Getting Started with System Dynamics
126(1)
References
127(2)
9 What Data and Evidence Can You Build System Maps From? 129(16)
Defending the Use of a Participatory Process to Build and Use Your Map
130(3)
Using Qualitative Data to Build Your Map
133(3)
Using Existing Evidence to Build Your Map
136(1)
Using Quantitative Data to Build Your Map
137(3)
Using Different Types of Data and Evidence in Practice
140(1)
References
141(4)
10 Running Systems Mapping Workshops 145(16)
Planning Workshops
146(1)
Venue, Materials, and Technology for Workshops
147(2)
Facilitating Discussion
149(2)
Capturing and Recording Workshops
151(1)
Post-workshop
152(1)
Common Issues
152(3)
Running Online Workshops
155(3)
Getting Started Yourself
158(1)
References
158(3)
11 Comparing, Choosing, and Combining Systems Mapping Methods 161(18)
Comparing Systems Mapping Methods
163(6)
Choosing Systems Mapping Methods
169(3)
Combining Systems Mapping Methods
172(3)
Getting Started with Choosing and Combining Methods
175(1)
References
176(3)
12 Conclusion 179(4)
What Have We Learnt Writing This Book?
180(1)
Our Final Take-Home Messages
180(2)
Final Thoughts
182(1)
Index 183
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 S. 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).