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The Lake Urmia vignette: a tool to assess understanding of complexity in socio‐environmental systems

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  • Kirsten Davis
  • Navid Ghaffarzadegan
  • Jacob Grohs
  • Dustin Grote
  • Niyousha Hosseinichimeh
  • David Knight
  • Hesam Mahmoudi
  • Konstantinos Triantis

Abstract

We introduce the Lake Urmia Vignette (LUV) as a tool to assess individuals' understanding of complexity in socio‐environmental systems. LUV is based on a real‐world case and includes a short vignette describing an environmental catastrophe involving a lake. Over a few decades, significant issues have manifested themselves at the lake because of various social, political, economic, and environmental factors. We design a rubric for assessing responses to a prompt. A pilot test with a sample of 30 engineering graduate students is conducted. We compare responses to LUV with other measures. Our findings suggest that students' understanding of complexity is positively associated with their understanding of systems concepts such as feedback loops but not with other possible variables such as self‐reported systems thinking skills or systems‐related coursework. Based on the provided instructions, researchers can use LUV as a novel assessment tool to examine understanding of complexity in socio‐environmental systems. © 2020 System Dynamics Society

Suggested Citation

  • Kirsten Davis & Navid Ghaffarzadegan & Jacob Grohs & Dustin Grote & Niyousha Hosseinichimeh & David Knight & Hesam Mahmoudi & Konstantinos Triantis, 2020. "The Lake Urmia vignette: a tool to assess understanding of complexity in socio‐environmental systems," System Dynamics Review, System Dynamics Society, vol. 36(2), pages 191-222, April.
  • Handle: RePEc:bla:sysdyn:v:36:y:2020:i:2:p:191-222
    DOI: 10.1002/sdr.1659
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    References listed on IDEAS

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    1. Christian Erik Kampmann & John D. Sterman, 2014. "Do markets mitigate misperceptions of feedback?," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 123-160, July.
    2. Liang Qi & Cleotilde Gonzalez, 2015. "Mathematical knowledge is related to understanding stocks and flows: results from two nations," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 97-114, July.
    3. Liang Qi & Cleotilde Gonzalez, 2019. "Math matters: mathematical knowledge plays an essential role in Chinese undergraduates' stock‐and‐flow task performance," System Dynamics Review, System Dynamics Society, vol. 35(3), pages 208-231, July.
    4. Erling Moxnes, 1998. "Not Only the Tragedy of the Commons: Misperceptions of Bioeconomics," Management Science, INFORMS, vol. 44(9), pages 1234-1248, September.
    5. Cronin, Matthew A. & Gonzalez, Cleotilde & Sterman, John D., 2009. "Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(1), pages 116-130, January.
    6. Mark Paich & John D. Sterman, 1993. "Boom, Bust, and Failures to Learn in Experimental Markets," Management Science, INFORMS, vol. 39(12), pages 1439-1458, December.
    7. Downer, John, 2010. "Anatomy of a disaster: why some accidents are unavoidable," LSE Research Online Documents on Economics 36542, London School of Economics and Political Science, LSE Library.
    8. Niyousha Hosseinichimeh & Hyunjung Kim & Alireza Ebrahimvandi & Jay Iams & David Andersen, 2019. "Using a Stakeholder Analysis to Improve Systems Modelling of Health Issues: The Impact of Progesterone Therapy on Infant Mortality in Ohio," Systems Research and Behavioral Science, Wiley Blackwell, vol. 36(4), pages 476-493, July.
    9. Elmira Hassanzadeh & Mahdi Zarghami & Yousef Hassanzadeh, 2012. "Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 129-145, January.
    10. Arash Baghaei Lakeh & Navid Ghaffarzadegan, 2015. "Does analytical thinking improve understanding of accumulation?," System Dynamics Review, System Dynamics Society, vol. 31(1-2), pages 46-65, January.
    11. Nick Pidgeon, 2011. "In retrospect: Normal Accidents," Nature, Nature, vol. 477(7365), pages 404-405, September.
    12. Onur Özgün & Yaman Barlas, 2015. "Effects of systemic complexity factors on task difficulty in a stock management game," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 115-146, July.
    13. Adam C. Davis & Mirella L. Stroink, 2016. "The Relationship between Systems Thinking and the New Ecological Paradigm," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(4), pages 575-586, July.
    14. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    15. John Sterman, 2018. "System dynamics at sixty: the path forward," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 5-47, January.
    16. Florian Kapmeier & Roland Maximilian Happach & Meike Tilebein, 2017. "Bathtub Dynamics Revisited: An Examination of Déformation Professionelle in Higher Education," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(3), pages 227-249, May.
    17. Marleen H. F. McCardle‐Keurentjes & Etiënne A. J. A. Rouwette & Jac A. M. Vennix & Eric Jacobs, 2018. "Potential benefits of model use in group model building: insights from an experimental investigation," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 354-384, January.
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