Harnessing Gen-AI for Community Engagement and Survey Analysis

Community engagement and survey analysis are cornerstones of effective urban planning, yet it often requires significant resources to process and interpret large datasets. As a result, many insightful survey responses sit unread and unable to affect change. This presentation explores how generative AI can support efforts to process open-ended survey data, particularly in identifying themes within massive survey datasets and concerns from different groups. By automating the classification of responses and applying QA/QC through a human-in-the-loop process, planners can uncover critical insights without the need for heavy quantitative analysis or data science expertise. Learn how AI can be a supplementary tool, enhancing rather than replacing human expertise. Discover best practices for integrating AI into community engagement strategies, ensuring that all voices are heard and equity concerns are addressed.

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