Symposium

This presentation examines the core principles of Community Based Participatory Research (CBPR) and demonstrates how artificial intelligence (AI) and data science methodologies can be integrated to support collaborative, ethical, and policy relevant research. CBPR provides a systematic framework for addressing complex social and policy challenges (e.g., education, environmental conditions, health, and transportation) by actively involving community members and key stakeholders throughout the research process. More specifically, centering the lived experiences and knowledge of these groups can strengthen the relevance and actionability of resulting policy recommendations. The addition of AI and data analytic tools further enhances the capacity to ensure that technological developments and data driven insights equitably serve diverse communities.

Using a case study format, the presentation will guide attendees through strategies for engaging communities, leveraging AI tools responsibly, and analyzing data to generate policy insights that support local initiatives. The session adopts an interdisciplinary perspective, drawing on concepts from economics, ethics, geography, and public policy to illustrate how CBPR and AI can be combined to advance equitable and community driven research.