Systems Mapping: How to Build and Use Causal Models of Systems - Couverture rigide

Barbrook-Johnson, Pete; Penn, Alexandra S.

Couverture rigide

ISBN 10 : 3031018338 ISBN 13 : 9783031018336

Editeur : Palgrave Macmillan, 2022

Synopsis

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.

A propos du livre

À propos de l'auteur

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).

Détails de l'édition

• Éditeur: Palgrave Macmillan
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 3031018338
• ISBN 13: 9783031018336
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 203
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Allemagne