Steven Gray (professor)

Steven Gray is an American environmental social scientist, environmental psychologist, and professor. He is known for creating the software platform Mental Modeler[1] and for advancing the use of Fuzzy Cognitive Mapping for sustainability, knowledge integration, and applied decision-making.

Early life and education

Gray earned a B.A. in Anthropology from the University of Texas at Austin, and a Ph.D. in Ecology and Evolution from Rutgers University.

Academic career

Gray is a Professor in the Department of Community Sustainability at Michigan State University. His research examines the knowledge integration and how biological, economic, and cognitive diversity impact social-ecological dynamics, resilience, and adaptive capacity. He has been a principal investigator on interdisciplinary projects funded by the National Science Foundation (NSF), the National Oceanic and Atmospheric Administration (NOAA), the United States Department of Agriculture (USDA), and the Defense Advanced Research Projects Agency (DARPA).

Gray's work integrates participatory modeling, visual systems thinking, computational social science, and environmental governance. He is the developer of Mental Modeler, a tool that enables stakeholders, along with traditional scientific experts, to visually model systems, run intervention scenarios, and understand trade-offs, which has been applied in multiple domains.[2][3][4][5]

Mental Modeler and Fuzzy Cognitive Mapping

Mental Modeler significantly expanded the accessibility and applicability of Fuzzy Cognitive Mapping in scientific research.[6] The software  has been widely adopted in environmental planning and systems modeling.[2]

Urban Knowledge Syndrome

Gray, along with Payam Aminpour, Steven Scyphers, and Jennifer Helgeson, coined the term "Urban Knowledge Syndrome" in a 2022 paper published in Urban Sustainability.[7] The concept refers to the personal, social, cultural, and experiential biases that arise when urban-centric experiences influence how individuals understand their external environment.[8][9][10] These dynamics influence environmental policy, planning, and decision outcomes that may otherwise marginalize local, Indigenous, or rural knowledge in the process. The syndrome highlights the risks of knowledge homogenization and calls for more inclusive approaches to sustainability decision-making.

Selected publications

  • Gray, S., A. Chan, D. Clark, and R.C. Jordan. (2012) Modeling the integration of stakeholder knowledge in social-ecological system decision-making: Benefits and limitations to knowledge diversity. Ecological Modeling 229, 88-96.
  • Gray, S. S. Gray, L. Cox, and S. Henly-Shepard. (2013) Mental modeler: A fuzzy-logic cognitive mapping modeling tool for adaptive environmental management. Proceedings of the 46th International Conference on Complex Systems. 963-973
  • Aminpor, P., S. Gray, A. Jetter, J. Introne, and R. Arlinghaus. (2020) The wisdom of stakeholder crowds in complex social-ecological systems. Nature Sustainability. 3(13), 191-199.
  • Aminpour, P. S. Gray, M. Beck, K. Furman, I. Tsakiri, R. Gittman, J. Grabowski, J. Helgeson, L. Josephs, M. Ruth, and S. Scyphers. (2022) Urbanized knowledge syndrome: Lower knowledge diversity and systems thinking in urban coastal residents. Urban Sustainability. 2 (1), 1-10.

References

  1. ^ Gray, Steven A.; Gray, Stefan; Cox, Linda J.; Henly-Shepard, Sarah (January 2013). "Mental Modeler: A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management". 2013 46th Hawaii International Conference on System Sciences. pp. 965–973. doi:10.1109/HICSS.2013.399. ISBN 978-1-4673-5933-7.
  2. ^ a b Blacketer, Michael P.; Brownlee, Matthew T. J.; Baldwin, Elizabeth D.; Bowen, Brenda B. (2021-09-01). "Fuzzy Cognitive Maps of Social-Ecological Complexity: Applying Mental Modeler to the Bonneville Salt Flats". Ecological Complexity. 47 100950. Bibcode:2021EcoCm..4700950B. doi:10.1016/j.ecocom.2021.100950. ISSN 1476-945X.
  3. ^ Pooya, Nakhjirkan; Matin, Ashoori; Saman, Abizadeh (2024-01-01). "Explanation of the Theoretical Model of the Smart City of Rasht in the horizon of 1415 in the Framework of Strategic Foresight Using FCM in Mental Modeler". 8 (2): 41–64. {{cite journal}}: Cite journal requires |journal= (help)
  4. ^ Tabpla, Rasnia; Jetter, Antonie J. (August 2024). "Mental Models of Translational Scientists". 2024 Portland International Conference on Management of Engineering and Technology (PICMET). pp. 1–12. doi:10.23919/PICMET64035.2024.10653403. ISBN 978-1-890843-45-8.
  5. ^ "CEUR-WS.org/Vol-3826 - Cybersecurity Providing in Information and Telecommunication Systems II (CPITS-II-2024)". ceur-ws.org. Retrieved 2025-08-22.
  6. ^ Felix, Gerardo; Nápoles, Gonzalo; Falcon, Rafael; Froelich, Wojciech; Vanhoof, Koen; Bello, Rafael (October 2019). "A review on methods and software for fuzzy cognitive maps". Artificial Intelligence Review. 52 (3): 1707–1737. doi:10.1007/s10462-017-9575-1. ISSN 0269-2821.
  7. ^ Aminpour, Payam; Gray, Steven A.; Beck, Michael W.; Furman, Kelsi L.; Tsakiri, Ismini; Gittman, Rachel K.; Grabowski, Jonathan H.; Helgeson, Jennifer; Josephs, Lauren; Ruth, Matthias; Scyphers, Steven B. (2022-05-04). "Urbanized knowledge syndrome—erosion of diversity and systems thinking in urbanites' mental models". npj Urban Sustainability. 2 (1) 11. Bibcode:2022npjUS...2...11A. doi:10.1038/s42949-022-00054-0. ISSN 2661-8001.
  8. ^ "Urbanized Knowledge Syndrome → Area". Lifestyle → Sustainability Directory. Retrieved 2025-08-25.
  9. ^ "Urban vs. Suburban Ways of Thinking: Urbanization Linked to Poor Ecological Knowledge, Less Environmental Action". SciTechDaily. 2022-05-04. Retrieved 2025-08-25.
  10. ^ Magazine, Hakai. "What Is "Urbanized Knowledge Syndrome"?". Hakai Magazine. Retrieved 2025-08-25.
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