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Co-creating a regional sustainability hub: conversational AI, community engagement, and local data for computing in place

Abstract

The Sustainability Hub is a community-driven digital infrastructure project that connects policymakers, researchers, and community members across Colorado through a shared platform for sustainability and well-being data. Grounded in a place-based computing approach, the Hub integrates conversational AI, open-source tools, and community asset mapping to support regional decision-making and resilience. This paper presents early-stage development and future directions. We introduce Bili, a natural language assistant that lowers technical barriers to data access and BiliCore, a framework for evaluating large language models in sustainability contexts. Another key component is the implementation of survey-informed Communities of Interest to support collaboration and engagement. We describe our co-design methodology, beta testing strategy, and participatory outreach efforts, offering a real-world case of computing in place that bridges technical innovation with social infrastructure.

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Subject

sustainability
computing in place
community engagement
participatory design
conversational AI
large language models
retrieval-augmented generation
human-computer interaction
natural language processing
geographic information systems

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