ArticleThe Professional geographer : the journal of the Association of American Geographers2026
Expanding Public Access to Understanding Data: A Case Study of Leveraging Generative AI for India Policy Insights Dashboard.
Article in The Professional geographer : the journal of the Association of American Geographers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Interactive dashboards have become central tools for visualizing policy-relevant data, but they remain limited by rigid structures and technical complexity. Recent advances in large language model (LLM)-powered conversational AI offer a way to address these challenges, as LLMs can interpret unstructured natural language inputs and translate them into structured functions. This proof-of-concept study introduces a Generative AI (GenAI)-powered chatbot that integrates LLMs with an online dashboard, demonstrated through the India Policy Insights (IPI) dashboard. The system translates conversational queries into structured functions, retrieves validated outputs from a spatially enabled database, and presents results as text, charts, and maps. We implemented 13 representative functions spanning spatial, temporal, composite, classification, and constraint-based analyses. Results show that spatial, classification, and constraint-based functions achieved consistently high accuracy due to explicit parameters, while composite multi-indicator functions posed greater challenges. The findings demonstrate the potential of GenAI-powered interactive dashboards to support language-driven interaction and broaden accessibility for diverse user groups, regardless of technological literacy. Beyond the case study, the proposed framework provides a design pathway for developing GenAI-powered dashboards that democratize access to spatiotemporal data, enhance evidence-based policymaking, and help bridge persistent gaps between data and actionable insights.
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