Social Science for Local Governance

Our research focuses on the collective-action challenges surrounding community resilience and sustainability. Local governments of all sizes are facing increasing threats to their fiscal and economic health, community well-being, and environmental resources. Addressing these challenges requires a litany of economic, ecological and societal governance transitions. However, it also assumes local communities can either develop new organizational capacities or divert resources away from more traditional services and activities.

Science has always presented its protagonists with epistemic challenges rooted in language and the difficulties establishing what Vincent Ostrom called "communities of shared understanding." Our work attempts to answer that call by focusing on different types of "shared" public infrastructure, from pipes in the ground to the knowledge that resource users and providers develop and mobilize to solve problems. Here, You can read some of our work on these general topics (open access): "Organizing and Institutionalizing Local Sustainability.' ​

National Science Foundation support

Our work has received National Science Foundation support (Award #1941561, 2020-2025) to develop an interactive research and education program focused on understanding and advancing the integration of local government sustainability planning, capacity-building and performance management. This research involves analyzing municipal governments in Indiana to advance understanding of how communities a) formulate long-term sustainability strategies; b) develop the capacities to carry them out; and c) assess and improve performance.

We have also coordinated with other universities on an interdisciplinary NSF project (Award #1923880, 2019-2025) studying the role of infrastructure and management institutions in transitioning to more sustainable urban water supply systems. This research is analyzing transitions across 16 large-scale urban water systems in the United States to achieve two goals: 1) to better understand the complex interactions among various environmental and human stressors that may prompt transition, and 2) to identify which design choices, related to both system infrastructure and governing institutions, can foster proactive transitions to more sustainable operating states.