The Power of Community-Driven Small Language Models
Description
In this episode, host Stephen Goldsmith is joined by MIT Professor Sarah Williams and Boston CIO Santi Garces to explore the ways that generative AI is transforming how cities - and residents - use data. Williams shares insights from her work at the Civic Data Design Lab, discussing how GenAI can help make sense of vast amounts of qualitative data, from city council minutes to community feedback. Garces reflects on the opportunities and challenges of integrating AI into municipal decision-making and civic engagement. Together, they highlight the potential for community-driven, small language models that empower residents and make city services more transparent and effective.
Music credit: Summer-Man by Ketsa
About Data-Smart City Solutions
Data-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and join us on Twitter, Bluesky, Facebook, or LinkedIn.