Host Stephen Goldsmith sits down with Brian Elms, former director of Denver's groundbreaking Peak Academy and founder of Change Agents Training, to explore how generative AI is transforming government's most successful employee empowerment model. Elms explains how Peak Academy has saved governments over $50 million by teaching frontline workers to become problem solvers in their own services, and why unlocking employee potential matters for everyone in a government organization. They also discuss how AI agents augment this work, with Elms recommending eliminating useless work first, then layering on performance management and AI tools to help subject matter experts — not just executives — drive continuous improvement from the ground up.

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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. 

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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. 

Listener survey: bit.ly/datasmartpod

In our end-of-year episode, host Stephen Goldsmith reflect on 2025's most promising advancements in local government and shares his vision for how cities can harness generative AI to drive real change. Goldsmith discusses why a problem-first approach to AI implementation matters, how cities can rebuild public trust through better community listening, and why government processes must fundamentally transform—not just be overlaid with new technology. Drawing on decades of experience, he explains how bridging the gap between data-rich officials and context-rich residents creates opportunities for meaningful, co-created solutions.

Episodes mentioned: City Leadership in the AI Era with Rochelle Haynes and Carrie Bishop; Generative AI and the Possibility Government with Mitch Weiss; and Recoding America Author Interview with Jennifer Pahlka.

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. 

Listen to host Stephen Goldsmith speak with two leading voices at the intersection of local government, data, and AI: Rochelle Haynes, Managing Director of What Works Cities and Carrie Bishop, who leads data and AI initiatives for the Government Innovation program at Bloomberg Philanthropies. Haynes and Bishop share advice for mayors on leading AI‑driven culture change, choosing meaningful use cases, and making data central to how modern cities solve problems. They explore how cities can use data and generative AI to move beyond traditional public meetings toward intentional, co‑created community solutions, featuring real examples and leadership advice.

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. 

This episode features Mike Sarasti, former Chief Innovation Officer and Director of Innovation and Technology in Miami and a leading advocate for government transformation, in conversation with host Stephen Goldsmith. They unpack how GenAI and rapid process mapping are revolutionizing public sector efficiency, not by shaving seconds off legacy workflows, but by making space for human creativity and curiosity. Mike shares real-world examples and explains how city leaders can democratize AI tools and clear bureaucratic tedium while guarding against hype and automation overreach.

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. 

In this episode, host Stephen Goldsmith speaks with Dr. Sara Naomi Bleich, professor at the Harvard T.H. Chan School of Public Health and former USDA Director of Nutrition Security and Health Equity. Dr. Bleich breaks down major recent changes to the Supplemental Nutrition Assistance Program (SNAP)—including historic budget cuts and stricter work requirements—and what they mean for the children and families utilizing this program. She shares actionable guidance for mayors and city leaders, including how to minimize harm from SNAP reductions and what city officials can do to ensure residents maintain access to essential nutrition support.

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. 

In this special episode, Harvard Kennedy School Professor Stephen Goldsmith and Harvard University Graduate School of Design Professor Charles Waldheim co-host a podcast crossover. Pr. Waldheim, host of the Future of the American City podcast and Director of the Office for Urbanization, speaks with Pr. Goldsmith about neighborhood regeneration, community-driven adaptation, and how to incorporate data into established decision-making routines. 

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. 

In this episode, Professor Stephen Goldsmith speaks with Dr. Andrew Schroeder of Direct Relief and CrisisReady. They discuss how cities can break down data silos and build integrated, actionable platforms to better respond to public health and environmental emergency. Schroeder explains the role of emerging technologies like AI and cloud data platforms, the importance of recruiting data talent in city government, and practical frameworks for connecting health and environmental data. He also previews a joint workshop on urban heat crises, highlighting the need for simulation, coordination, and a people-centered approach to data-driven disaster management.

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. 

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. 

In this episode Professor Goldsmith interviews Professor Dan Huttenlocher, inaugural dean of the MIT Schwarzman College of Computing and expert  on artificial intelligence and computer science. They discuss the different ways that generative AI could be used by governments, in service of constituents, and what kinds of operational standards are required for the productive and safe use of AI technologies. 

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.