StatGPT: The Future of City Performance
Notes de l’épisode
In this episode, Professor Stephen Goldsmith speaks with Santi Garces, Boston’s chief innovation officer. They discuss Goldsmith’s new StatGPT paper, which explores how generative AI can transform city performance management. Garces also shares practical examples from Boston and insights from the recent Bloomberg Center for Cities stat and AI workshop, where 14 cities gathered to explore real-world applications of generative AI in government.
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 follow us on Twitter.