Data-Smart City Pod

Data-Smart City Solutions
  • 4.9 (10)
  • GOVERNMENT

As the central resource for cities on the intersection of government, data, and innovation, the Data-Smart City Pod from Data-Smart City Solutions at the Bloomberg Center for Cities at Harvard University features leaders and experts in governance, innovation, and research.

  1. 2D AGO

    Supporting Childhood Opportunity Starts With Environmental Justice

    Lead pipes aren't just a water infrastructure problem—they're connected to poverty, violence, and lost opportunity. Milwaukee's mayor explains why removing them matters to public safety and economic mobility. Host Stephen Goldsmith speaks with Milwaukee Mayor Cavalier Johnson about how his city is accelerating lead pipe removal, creating family-supporting jobs, and why environmental justice is central to breaking cycles of poverty and incarceration. In this episode, you'll learn:    Why lead exposure affects public safety, not just health    How lead removal becomes an economic development opportunity for neighborhoods    Why early interventions in kids' lives prevent long-term harm    How Milwaukee prioritizes removal in the most under-resourced neighborhoods    What federal funding will enable Milwaukee to remove 5,000 lead pipes in a single year Listener Survey: bit.ly/datasmartpod 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 LinkedIn.

    18 min

  2. APR 1

    From Reactive to Preventive: How AI Transforms Public Works

    Most cities respond to infrastructure problems after residents report them. What if they could detect and prevent them first, while serving every neighborhood fairly? Host Stephen Goldsmith sits down with Daniel Pelaez (CEO of CYVL), Khahlil Louisy (Public Innovation Institute), and Mike Dennehy (former Boston Public Works Commissioner) to explore how artificial intelligence and computer vision are revolutionizing infrastructure management, closing equity gaps, and helping cities shift from reactive operations to predictive maintenance. In this episode, you'll learn: How computer vision detects infrastructure problems before citizens report them Why traditional complaint-based systems can miss concerns in lower-income neighborhoods How natural language queries democratize access to infrastructure data for city managers Why a "multi-modal" approach combining AI, citizen input, and external data delivers better equity outcomes What  cities can expect from predictive infrastructure systems Paper referenced: When Residents and Algorithms See Different Problems  Listener Survey: bit.ly/datasmartpod 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 LinkedIn.

    22 min

  3. MAR 11

    Agentic AI Comes to City Hall

    Why do cities struggle to adopt AI at scale despite exponential improvements in the technology? Host Stephen Goldsmith speaks with Boston CIO Santi Garces and Harvard Business School Professor Mitch Weiss to explore the "growing gap" between AI capability and organizational adoption. Plus, hear how the city of Boston improved user satisfaction 3x with an AI-powered web search, why MCP servers are powerful and transparent tools for government, and how to move from pilot to production. Listener Survey: bit.ly/datasmartpod 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 LinkedIn.

    35 min

  4. MAR 4

    How Cities Can Measure What Actually Matters

    What does a city government owe its residents? Host Stephen Goldsmith speaks with Eyal Feder-Levy, CEO of Zencity, to explore how GenAI is fundamentally transforming the way cities measure, understand, and respond to resident needs. For decades, performance management in government has relied on operational metrics like crime numbers, pothole repairs, traffic flow. But what happens when the data looks good, yet residents feel less safe? When efficiency improves, but trust declines? In this episode, Feder-Levy argues that citizen satisfaction and perception should be the true North Star for city government. Using social sentiment analysis, AI-powered data agents, and real-world examples, he explores how GenAI is cutting response times, revealing hidden patterns, and closing the gap between statistics and lived experience. Listener Survey: bit.ly/datasmartpod 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 LinkedIn.

    17 min

  5. FEB 4

    Personalizing Government at Scale: Denver's AI Strategy

    Host Stephen Goldsmith sits down with Suma Nallapati, Chief AI and Information Officer for the City and County of Denver, to explore how Denver is using generative AI to collapse bureaucracy and make government fundamentally more responsive to residents. Nallapati discusses Denver's Sunny AI platform, why combining the CIO and AI officer roles eliminates unhealthy friction between innovation and caution, and why the real opportunity of GenAI lies in freeing public servants from repetitive tasks so they can focus on the human connection that drew them to public service in the first place. Nallapati emphasizes that AI is a tool in government's toolbox—one that succeeds only when paired with ethical frameworks, transparency, and a relentless focus on resident outcomes rather than technology for its own sake. Listener Survey: bit.ly/datasmartpod 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 LinkedIn.

    25 min

  6. JAN 21

    AI Agents and Peak Academy: Brian Elms on Empowering Government Workers

    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. Take the survey at bit.ly/datasmartpod. 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.

    25 min

  7. JAN 5

    The DSCP Listener Survey

    Survey: bit.ly/datasmartpod For our first-ever listener survey, we want to hear what you like, who you want to hear from, and how we can better support you in your work. Your answers will help us understand our audience better and create more useful episodes for you. Thanks for taking a few minutes to share your thoughts! 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.

    1 min

  8. 12/17/2025

    Rethinking Government in 2026

    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.

    17 min
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4.9
out of 5
10 Ratings

About

As the central resource for cities on the intersection of government, data, and innovation, the Data-Smart City Pod from Data-Smart City Solutions at the Bloomberg Center for Cities at Harvard University features leaders and experts in governance, innovation, and research.

Information

  • Creator
    Data-Smart City Solutions
  • Years Active
    2021 - 2026
  • Episodes
    91
  • Rating
    Clean
  • Copyright
    © 2021 Data-Smart City Pod
  • Show Website
    Data-Smart City Pod

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