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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.

Most cities operate on assumptions that were handed down years ago and consider frontline workers as executors of top-down decisions. In this episode, San Francisco's former Chief of Strategy and Performance Jessica MacLeod shows what happens when you treat them as problem-solvers with lived expertise and new ideas. Add visible systems mapping, permission to experiment, and data that has narrative, and suddenly government can move at the speed of actual change. In this episode, you'll learn: Why frontline stories unlock patterns dashboards miss—and make data actually meaningfulHow mapping hidden assumptions lets you test what actually works versus what you've always doneHow brighter lights reduced drug complaints 54% in one park, then scaled across the cityWhy small experiments at every level create change makers faster than top-down mandatesWhy empowering staff to solve problems (not interrogating them on numbers) unlocks actual performance changeListener 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.

It's our 100th episode! And we're flipping the script: Stephen Goldsmith is the guest, not the host. And he shares stories that completely reframe how cities should think about technology — from a 1970s bot that shattered assumptions about poor people using tech, to why AI alone should never drive government decisions, to the importance of bench marking the status quo.  In this episode, you'll learn: How to separate the AI hype from actually helpful AI uses (hint: it starts with a question). Why Goldsmith rejected patronizing attitudes around technology adoption, and proved detractors wrong. The distinction between "residents" and "customers," and how that changes everything about how you budget and design. How to give public servants back time and respect, rather than saddling them with meaningless tasks and paper pushing. Why your old, top-down performance management system  is dead and why you need a new, democratized model. 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.

How do you lead 16 agencies and serve 8.2 million people without losing sight of the individual? NYC's Deputy Mayor of Health and Human Services Helen Arteaga shows what happens when a leader moves beyond the binary of efficiency vs. compassion, using data and local insights to get both right. In this episode, you'll learn: Why a structured system for serving people from birth through end-of-life means better, consistent care. How to use neighborhood-level data and geographic targeting to serve people before they hit crisis. How to get the right processes in place before feeding data to an AI. The importance of early intervention with babies and children. Why ensuring equal access to good care is so personal for DM Arteaga, and how she honors her father's legacy by doing so. Guest: New York City's Deputy Mayor of Health and Human Services Helen Arteaga 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.

Data innovation isn't about buying better tools. As Dallas and Cleveland show, it's about how leaders listen, support risk-taking, and work alongside agencies. The result? A culture where innovation thrives, and scales. Host Stephen Goldsmith speaks with Brita Andercheck, Chief Data Officer in Dallas, and Liz Crowe, Chief Innovation and Technology Officer in Cleveland, about how they drive transformative change across city governments. From reporting structures to how you listen to agencies to going out into the field yourself, they share the unglamorous work that actually drives transformation. In this episode, you'll learn: How to strike the balance between centralization and decentralization Why a problem-first approach beats technology-first Why data teams should measure their ROI The importance of collaboration and relationships How to create psychological safety so teams "fail smart" Guest: Dr. Brita Andercheck – Chief Data Officer and Director of the Office of Data Analytics and Business Intelligence, city of Dallas Dr. Liz Crowe – Chief Innovation and Technology Officer, city of Cleveland 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.

Good services don't start with the city's org chart or budget lines. They start by understanding the resident's actual journey — and all the hidden time, paperwork, and friction that comes with it. 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 gets heard, and how cities can use AI and resident-centered design to create services that actually work for everyone. In this episode, you'll learn: Why "good services" means residents can find, understand, and use them without insider knowledge How selection bias shapes civic engagement and why mayors must ask "who's not in the room?" How AI can help identify missing constituencies and unnoticed solutions in comparable cities Why organizing around the resident's journey changes service delivery How to measure progress at baseline, midpoint, and endpoint to track what's actually improving Guest: Dr. Kim Leary – clinical psychologist, professor, and director of the Good Services Lab at the Bloomberg Center for Cities at Harvard University 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.

City leaders are on the front lines of data use, but most lack visibility into the federal data landscape, what's available, what's changing, and how federal policy decisions affect local outcomes. This gap delays emergency response, misdirects resources away from high-need neighborhoods, and undermines AI systems that depend on accurate data and community trust. 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 federal data policy. In this episode, you'll learn: The often-hidden relationship between local data needs and federal data infrastructure How to identify and access the federal data your city should be using Why now is the time to prepare for Census 2030 and protect funding How community participation in data decisions prevents disparities and builds legitimacy for AI systems How local data leaders can advocate effectively during federal policy windows Guest: Denice Ross –  Director of Federal Data Policy at the Federation of American Scientists; former United States Chief Data Scientist 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.

City leaders are eager to deploy AI, but the real opportunity lies in preparation: building the right organizational structures, expertise, and culture first. Host Stephen Goldsmith speaks with Teddy Svoronos, senior lecturer in public policy at the Harvard Kennedy School, about how to structure your city government for Agentic AI, why small, empowered teams work better than broad rollouts, and what mental models and skills leaders actually need to manage this new relationship with AI tools. In this episode, you'll learn: Why creating a data-driven culture before AI deployment is the critical first step How to start with a small, driven team to stress-test AI capabilities in your organization What "cognitive debt" means and why managing it prevents costly AI mistakes Why domain-specific expertise becomes more important, not less, as AI gets more powerful How to balance the tension between AI utility and maintaining organizational control What guardrails, monitoring, and evaluation mechanisms cities need in place from the start Guest: Teddy Svoronos – Senior Lecturer in Public Policy, Harvard Kennedy School 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.

City leaders want to innovate, but most are stuck solving yesterday's problems with yesterday's tools. Real breakthroughs come from fundamentally changing how governments listen to communities. Host Stephen Goldsmith speaks with Dr. Francisca Rojas, executive director of the Bloomberg Center for Public Innovation at Johns Hopkins, about how technology and design are helping cities understand what residents actually need—and why legacy systems are the real barrier to change. In this episode, you'll learn: How Savannah used digital mapping to uncover flooding problems FEMA data missed by listening to residents  Why the Maryland Community Business Compass uses AI to democratize information for small businesses How digital twins help communities imagine and approve projects like affordable housing before they're built What Baltimore learned by reframing vacant housing as both a rehabilitation problem and a prevention problem 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.

AI is being deployed across courts, police departments, and corrections systems. Without the right guardrails, it could amplify existing biases. But, with care and attention, there are opportunities to improve the experience of people within these same systems. Host Stephen Goldsmith speaks with Dr. Andrea Headley from Georgetown University's Evidence for Justice Lab about what governments need to know about AI in criminal justice, how to identify and reduce bias, why transparency matters for public trust, and the devastating consequences when humans aren't in the loop. Guest: Dr. Andrea Headley – Associate Professor, Georgetown University McCourt School of Public Policy; Director, Evidence for Justice Lab References: The Justice and Artificial Intelligence Tracker 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.

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.

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.

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.

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.

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.