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Developing model‐based storytelling to share systemic insights to the public during the COVID‐19 pandemic

Author

Listed:
  • Daniel Gordon
  • Ali N. Mashayekhi
  • Andrada Tomoaia‐Cotisel
  • Hyunjung Kim
  • Babak Bahaddin
  • Luis F. Luna‐Reyes
  • David F. Andersen

Abstract

Communicating dynamic insights to a wide audience constitutes a long‐standing challenge among system dynamics modelers. We propose that telling stories is a compelling way of introducing feedback insights, as well as an understanding of how our individual decisions are linked to social behaviors in our day‐to‐day living. These decisions often involve moral and ethical trade‐offs. In this article, we use examples and heuristics to illustrate how the process of building a system dynamics model can drive a storytelling project. In a complimentary manner, the process of storytelling supports and enriches a model building project by exploring new dynamic hypotheses. © 2024 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Suggested Citation

  • Daniel Gordon & Ali N. Mashayekhi & Andrada Tomoaia‐Cotisel & Hyunjung Kim & Babak Bahaddin & Luis F. Luna‐Reyes & David F. Andersen, 2024. "Developing model‐based storytelling to share systemic insights to the public during the COVID‐19 pandemic," System Dynamics Review, System Dynamics Society, vol. 40(3), July.
    • Handle: RePEc:bla:sysdyn:v:40:y:2024:i:3:n:e1771
    DOI: 10.1002/sdr.1771
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    References listed on IDEAS

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    1. Warren W. Farr & Samuel D. Allen & Andrada Tomoaia‐Cotisel & Peter S. Hovmand, 2022. "Documenting the modeling process with a standardized data structure described and implemented in DynamicVu," System Dynamics Review, System Dynamics Society, vol. 38(3), pages 264-291, July.
    2. Dennis Meadows, 2002. "Dana Meadows: asking hard questions, speaking simple truths," System Dynamics Review, System Dynamics Society, vol. 18(2), pages 111-119, June.
    3. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
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