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Modeling and Simulation as Boundary Objects to Facilitate Interdisciplinary Research

Author

Listed:
  • Luis F. Luna‐Reyes
  • Laura J. Black
  • Weijia Ran
  • Deborah Lines Andersen
  • Holly Jarman
  • George P. Richardson
  • David F. Andersen

Abstract

This paper describes Group Model Building (GMB) as an effective tool to bring together teams of researchers from different disciplines in theory‐building efforts. We propose that the simulation models, as well as other artefacts used during the modelling process, work as boundary objects useful to facilitate conversations among researchers of different disciplines, uncover insights, and build consensus on causal connections and actionable insights. In addition to providing a more robust theoretical basis for participatory system modelling as an approach to theory development in interdisciplinary work, we describe a study using GMB that illustrates its use. The assessment of the case suggests that system models provide interdisciplinary teams with opportunity to combine the strengths of qualitative and quantitative approaches to express theoretical issues, using an analytical meta‐language that permits iteratively building theory and testing its internal consistency. Moreover, the GMB process helps researchers navigate the tension between achieving interdisciplinary consensus (which often involves adding details) and building a parsimonious theory of the phenomenon under study. © 2018 John Wiley & Sons, Ltd.

Suggested Citation

  • Luis F. Luna‐Reyes & Laura J. Black & Weijia Ran & Deborah Lines Andersen & Holly Jarman & George P. Richardson & David F. Andersen, 2019. "Modeling and Simulation as Boundary Objects to Facilitate Interdisciplinary Research," Systems Research and Behavioral Science, Wiley Blackwell, vol. 36(4), pages 494-513, July.
  • Handle: RePEc:bla:srbeha:v:36:y:2019:i:4:p:494-513
    DOI: 10.1002/sres.2564
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    Cited by:

    1. Daniel C. Kenny & Juan Castilla-Rho, 2022. "What Prevents the Adoption of Regenerative Agriculture and What Can We Do about It? Lessons and Narratives from a Participatory Modelling Exercise in Australia," Land, MDPI, vol. 11(9), pages 1-30, August.
    2. Castilla-Rho, Juan & Kenny, Daniel, 2022. "What prevents the adoption of regenerative agriculture and what can we do about it? Lessons from a behaviorally-attuned Participatory Modelling exercise in Australia," OSF Preprints asxr2, Center for Open Science.
    3. Daniel C. Kenny & Juan Castilla-Rho, 2022. "No Stakeholder Is an Island: Human Barriers and Enablers in Participatory Environmental Modelling," Land, MDPI, vol. 11(3), pages 1-26, February.

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