Tools and methods in participatory modeling: Selecting the right tool for the job

Alexey Voinov, Karen Jenni, Steven Gray, Nagesh Kolagani, Pierre D. Glynn, Pierre Bommel, Christina Prell, Moira Zellner, Michael Paolisso, Rebecca Jordan, Eleanor Sterling, Laura Schmitt Olabisi, Philippe J. Giabbanelli, Zhanli Sun, Christophe Le Page, Sondoss Elsawah, Todd K. BenDor, Klaus Hubacek, Bethany K. Laursen, Antonie JetterLaura Basco-Carrera, Alison Singer, Laura Young, Jessica Brunacini, Alex Smajgl

Research output: Contribution to journalArticlepeer-review

96 Scopus citations

Abstract

Various tools and methods are used in participatory modelling, at different stages of the process and for different purposes. The diversity of tools and methods can create challenges for stakeholders and modelers when selecting the ones most appropriate for their projects. We offer a systematic overview, assessment, and categorization of methods to assist modelers and stakeholders with their choices and decisions. Most available literature provides little justification or information on the reasons for the use of particular methods or tools in a given study. In most of the cases, it seems that the prior experience and skills of the modelers had a dominant effect on the selection of the methods used. While we have not found any real evidence of this approach being wrong, we do think that putting more thought into the method selection process and choosing the most appropriate method for the project can produce better results. Based on expert opinion and a survey of modelers engaged in participatory processes, we offer practical guidelines to improve decisions about method selection at different stages of the participatory modeling process.

Original languageEnglish (US)
Pages (from-to)232-255
Number of pages24
JournalEnvironmental Modelling and Software
Volume109
DOIs
StatePublished - Nov 2018

All Science Journal Classification (ASJC) codes

  • Software
  • Environmental Engineering
  • Ecological Modeling

Keywords

  • Collaborative learning
  • Mental models
  • Participatory planning
  • Qualitative analysis
  • Quantitative modeling
  • Stakeholders

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