Abstract

Recent research, professional, and funding agendas have re-surfaced the importance of knowledge co-production and ethical participation to address urban tensions worldwide: urbanization and rapid climate change, disproportionately impacting socially vulnerable populations. Despite the potential of data-driven technologies to address these tensions, they have fallen short from their promise. We present a participatory modeling (PM) platform, fora.ai, to build on existing strengths of DT and overcome their most prevalent limitations. This platform is organized around the iterative steps in PM: problem definition and goal setting, preference elicitation, collaborative scenario-building, simulation, tradeoff deliberation, and solution-building. We demonstrate the platform’s effectiveness when embedded in a stakeholder-led process that integrates diverse knowledge, data sources, and values in pursuit of equitable green infrastructure (GI) planning to address flooding.

Dr. Moira Zellner

Professor of Public Policy and Urban Affairs; Director of Participatory Modeling and Data Science;

Co-Director of NULab for Digital Humanities and Computational Social Science

In-Person Registration

Event Location

310 Renaissance Park

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