AI can bridge the gap between how cities and residents view local problems by creating "shared context." Learn how officials are using AI to listen, understand, and respond together.
As cities rush to deploy artificial intelligence across, a critical challenge is emerging: without interoperability standards, AI's powerful insights remain trapped in separate agency silos. In this paper, Pr. Stephen Goldsmith argues that treating cities...
How two cities scaled data innovation through cultural change. Dr. Brita Andercheck in Dallas and Dr. Liz Crowe in Cleveland share how they built cultures where agencies embrace data, teams take smart risks, and innovation actually sticks.
As part of The Responsive Cities Network, funded by the John S. and James L. Knight Foundation and led by Data-Smart City Solutions at the Bloomberg Center for Cities at Harvard Universitythis series features learnings, insights, and reflections from the...
In this episode of the Data-Smart City Pod, host Stephen Goldsmith speaks with Dr. Kim Leary, director of the Good Services Lab at the Bloomberg Center for Cities at Harvard University, about how listening is an active skill, why selection bias shapes who...
In this new paper from Data-Smart City Solutions, Pr. Stephen Goldsmith and Christopher Swope outline how the staggering pace of technological change and innovation has supercharged the Responsive City Cycle. Learn how artificial intelligence has given...
Host Stephen Goldsmith speaks with Denice Ross, Director of Federal Data Policy at the Federation of American Scientists, about the relationship between local and federal data, what city CDOs should prioritize, and why cities have untapped power to shape...