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1. Recognizing political influences in participatory social-ecological systems modeling

   https://doi.org/10.18174/sesmo.18509  

   Lim, Theodore C.; Glynn, Pierre D.; Shenk, Gary W.; Bitterman, Patrick; Guillaume, Joseph H.; Little, John C.; Webster, D. G. (January 2023, Socio-Environmental Systems Modelling)

   Stakeholder participation in social-ecological systems (SES) modeling is increasingly considered a desirable way to elicit diverse sources of knowledge about SES behavior and to promote inclusive decision-making in SES. Understanding how participatory modeling processes function in the context of long-term adaptive management of SES may allow for better design of participatory processes to achieve the intended outcomes of inclusionary knowledge, representativeness, and social learning, while avoiding unintended outcomes. Long-term adaptive management contexts often include political influences -- attempts to shift or preserve power structures and authority, and efforts to represent the political and economic interests of stakeholders -- in the computer models that are used to shape policy making and implementation. In this research, we examine a period that included a major transition in the watershed model used for management of the Chesapeake Bay in the United States. The Chesapeake Bay watershed model has been in development since the 1980s, and is considered by many to be an exemplary case of participatory modeling. We use documentary analysis and interviews with participants involved in the model application and development transition to reveal a variety of ways in which participatory modeling may be subject to different kinds of political influences, some of which resulted in unintended outcomes, including: perceptions of difficulty updating the model in substantive ways, “gaming” of the model/participatory process by stakeholders, and increasing resistance against considering uncertainty in the system not captured by the model. This research suggests unintended or negative outcomes may be associated with both participatory decision-making and stakeholder learning even though they are so often touted as the benefits of participatory modeling. We end with a hypothesis that further development of a theory of computer model governance to bridge model impact and broader theories of environmental governance at the science-policy interface may result in improved SES modeling outcomes. 

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2. Agent-Based Modeling for Integrating Human Behavior into the Food–Energy–Water Nexus

   https://doi.org/10.3390/land9120519  

   Magliocca, Nicholas R. (December 2020, Land)

   null (Ed.)

   The nexus of food, energy, and water systems (FEWS) has become a salient research topic, as well as a pressing societal and policy challenge. Computational modeling is a key tool in addressing these challenges, and FEWS modeling as a subfield is now established. However, social dimensions of FEWS nexus issues, such as individual or social learning, technology adoption decisions, and adaptive behaviors, remain relatively underdeveloped in FEWS modeling and research. Agent-based models (ABMs) have received increasing usage recently in efforts to better represent and integrate human behavior into FEWS research. A systematic review identified 29 articles in which at least two food, energy, or water sectors were explicitly considered with an ABM and/or ABM-coupled modeling approach. Agent decision-making and behavior ranged from reactive to active, motivated by primarily economic objectives to multi-criteria in nature, and implemented with individual-based to highly aggregated entities. However, a significant proportion of models did not contain agent interactions, or did not base agent decision-making on existing behavioral theories. Model design choices imposed by data limitations, structural requirements for coupling with other simulation models, or spatial and/or temporal scales of application resulted in agent representations lacking explicit decision-making processes or social interactions. In contrast, several methodological innovations were also noted, which were catalyzed by the challenges associated with developing multi-scale, cross-sector models. Several avenues for future research with ABMs in FEWS research are suggested based on these findings. The reviewed ABM applications represent progress, yet many opportunities for more behaviorally rich agent-based modeling in the FEWS context remain. 

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3. Knowledge sources, narratives, and living in social-ecological systems

   https://doi.org/10.1007/s11027-024-10151-3  

   Cockerill, Kristan; Glynn, Pierre; Cerrutti, Estefania Santamaria; Little, John C (August 2024, Mitigation and Adaptation Strategies for Global Change)

   Abstract Humans exist as part of social-ecological systems (SES) in which biological, physical, chemical, economic, political and other social processes are tightly interwoven. Global change within these systems presents an increasingly untenable situation for long-term human security. Further, knowledge that humans possess about ourselves and SES represents a complex amalgamation of individual and collective factors. Because of various evolutionary pressures, people often reject this complex reality in favor of more simplistic perceptions and explanations. This thought paper offers an overview of how and where people acquire knowledge and how that knowledge acquisition process reflects and influences narratives, which subsequently affect efforts to address challenges in SES. We highlight three narratives as examples of constraints on finding ways forward toward a more resilient future. Our focal narratives include tendencies to conflate tame and wicked problems; to posit a false human-nature duality; and to resist the explanatory evidence from biocultural evolution. We then discuss the human cognitive propensity to create narratives to think about how we might intentionally develop narratives that are more appropriate for living in coevolving SES. 

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4. Participatory Modeling: A Methodology for Engaging Stakeholder Knowledge and Participation in Social Science Research

   https://doi.org/10.1177/1525822X221076986  

   Quimby, Barbara; Beresford, Melissa (February 2022, Field Methods)

   Participatory modeling (PM) is an engaged research methodology for creating analog or computer-based models of complex systems, such as socio–environmental systems. Used across a range of fields, PM centers stakeholder knowledge and participation to create more internally valid models that can inform policy and increase engagement and trust between communities and research teams. The PM process also presents opportunities for knowledge co-production and eliciting cross-sectional and longitudinal data on stakeholders’ worldviews and knowledge, risk assessment, decision-making, and social learning. We present an overview of the stages for PM and how it can be used for community-based, stakeholder-engaged social science research. 

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5. Nunakut naguatun atugluu/Co-stewardship: Co-production’ through the lens of the Study of Environmental Arctic Change’s Human Wellbeing Team

   https://doi.org/10.1371/journal.pclm.0000692  

   Turner, Darlene Tocktoo; Schaeffer, Jacqualine Qataliña; Donatuto, Jamie; Landrum, Laura; Nunn, Chloe; Lukin, Maija Katak; Robards, Martin; Kerttula, Beth; Froehlich, Ephraim; Blair, Mary E; et al (August 2025, PLOS Climate)

   Birchall, S Jeff (Ed.)

   This paper explores the concept of co-stewardship in the Arctic through the lens of the Study of Environmental Arctic Change’s Human Wellbeing (HWB) team. Rooted in Indigenous knowledge and collaborative science, our work prioritizes equity in decision-making, recognizing multiple knowledge systems as equally valuable. Through intentional team-building, trust, and reciprocity, we examine successes, challenges, and opportunities in co-stewardship. Key successes include fostering meaningful relationships, integrating Indigenous perspectives into scientific and policy discussions, and uplifting innovative knowledge-sharing tools such as oral histories and visual storytelling. However, structural challenges persist, including colonial policy frameworks, inadequate funding models, and a lack of institutional mechanisms to support Indigenous leadership in co-stewardship initiatives. We propose policy shifts, long-term funding commitments, and greater Indigenous representation in decision-making as steps toward meaningful change. This work underscores the importance of Indigenous-led stewardship in addressing Arctic environmental and social challenges, offering a model for collaborative governance rooted in respect and reciprocity. 

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