Innovations in Collaborative Modeling
Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.
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Innovations in Collaborative Modeling
Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.
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Overview

Collaborative applications of a variety of modeling methodologies have multiplied in recent decades due to widespread recognition of the power of models to integrate information from multiple sources, test assumptions about policy and management choices, and forecast the future states of complex systems. However, information about these modeling efforts often is segregated by both discipline and modeling approach, preventing modelers from learning from one another. This volume addresses the need for cross-disciplinary and cross-methodological communication about collaborative modeling. To enhance a shared understanding of systems problems, scientists and stakeholders need strategies for integrating information from their respective fields, dealing with issues of scale and focus, and rigorously investigating assumptions. The chapters in this volume first explore modeling methodologies for enhanced collaboration, then offer case studies of collaborative modeling across different complex systems problems. The volume will be useful for experienced and beginning modelers as well as scientists and stakeholders who work with modelers.

Product Details

ISBN-13: 9781611863543
Publisher: Michigan State University Press
Publication date: 06/01/2020
Series: Transformations in Higher Education
Edition description: 1
Pages: 328
Product dimensions: 7.00(w) x 10.00(h) x 0.80(d)

About the Author

LAURA SCHMITT OLABISI is an Associate Professor in the Department of Community Sustainability and the Environmental Science and Policy Program at Michigan State University.


MILES MCNALL is the Director of the Community Evaluation and Research Collaborative at Michigan State University.


WILLIAM PORTER is a Professor and the first Boone and Crockett Chair of Wildlife Conservation in the Department of Fisheries and Wildlife at Michigan State University.


JINHUA ZHAO is a Professor in the Department of Economics and the Department of Agricultural, Food, and Resource Economics, and the Director of the Environmental Science and Policy Program at Michigan State University.

Table of Contents

Foreword Marjan van den Belt ix

Preface xiii

Acknowledgments xvii

Part 1 Methods for Collaborative Modeling

Principles of Participatory Ensemble Modeling to Study Complex Socioecological Systems Arika Ligmann-Zielinska Eric Jing Du Louie Rivers III Saweda Liverpool-Tasie Riva C. H. Denny Alexa L. Wood Udita Sanga Sandy Marquart-Pyatt Victoria Breeze Rajiv Paudel Laura Schmitt Olabisi 3

Nova: A Novel Tool for Collaborative Agent-Based and Dynamic Systems Modeling Nancy Darling Richard Salter Ian Burns 29

Typologies and Trade-offs in FCM Studies: A Guide to Designing Participatory Research Using Fuzzy Cognitive Maps Alexander Metzger Steven Gray Elpiniki Papageorgiou Antonie J. Jetter 47

Designing and Deploying Collaborative Models for Multifunctional Landscape Design: Geodesign in Practice Bryan C. Runck Carissa Schively Slotterback David Pitt Len Kne David Mulla Nicholas Jordan Marcus Grubbs Madeline Goldkamp Alexander Heid Peter Wiringa Yiqun Xie 79

Collaborative Modeling Institute: A Conception, Paradigm and Protocol for Transdisciplinary Integrative Team Science Stuart J. Whipple Bernard C. Patten 101

Part 2 Applications in Collaborative Modeling

Using Participatory System Dynamics Modeling of Agricultural-Environmental Systems in a Developing Country Context Robert B. Richardson Laura Schmitt Olabisi Kurt B. Waldman Naomi Sakana Nathan G. Brugnone 125

Co-Designing a Role-Playing Game to Characterize and Parametrize an Agent-Based Model on Coexistence of Farming Activities and Wildlife Conservation in the Periphery of the Sikumi Forest, Zimbabwe Arthur Perrotton Christophe Le Page Michel de Garine-Wichatitsky 161

Participatory Complex Systems Modeling for Environmental Planning: Opportunities and Barriers to Learning and Policy Innovation Moira Zellner Leilah Lyons Daniel Milz Joey T. R. Shelley Charles Hoch Dean Massey Joshua Radinsky 189

Developing a Collaborative System Dynamics Model of College Drinking Events: Finding a Common Language John D. Clapp Kevin M. Passino Luis Felipe Giraldo Danielle R. Madden Hugo J. Gonzalez Villasanti 215

Using Systems Thinking to Promote Wellness Program Planning and Implementation in Urban High Schools David W. Lounsbury Lynn Fredericks Camille Jimenez Sarah N. Martin Jean Lim Kelly Nimmer Moonseong Heo Ralph Levine Michelle Bouchard Judith Wylie-Rosett 241

Participatory Modeling with Fuzzy Cognitive Maps: Studying Veterans' Perspectives on Access and Participation in Higher Education Ronda J. Jenson Alexis N. Petri Antonie J. Jetter Arden D. Day George S. Gotto 267

Contributors 291

Index 307

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