『Data for the People!』のカバーアート

Data for the People!

Data for the People!

著者: Data Foundation
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Every day, millions of Americans rely on federal data—often without realizing it. From checking the weather forecast to planning retirement, from tracking disease outbreaks to measuring economic growth, government datasets power decisions that shape our daily lives and drive billions in economic activity.


Data for the People! is a new podcast from the Data Foundation that shines a light on this essential but often overlooked infrastructure. Hosted by J.B. Wogan, each episode features conversations with leaders from the public and private sectors about the national datasets that belong to the American people and the policy changes in Washington that could enable—or limit—their use.

© 2026 Data for the People!
マネジメント マネジメント・リーダーシップ 政治・政府 政治学 社会科学 科学 経済学
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  • Funding the Future of Public Data
    2026/07/09

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    This episode of Data for the People! shares highlights from the Data Foundation’s 2026 Data Summit, focusing on philanthropy’s role in supporting a stronger shared data ecosystem.

    Data Foundation President and CEO Nick Hart moderates a conversation with Daniella Lowenberg of the Data Funders Collaborative and Rachel Snyderman of the Peter G. Peterson Foundation.

    Lowenberg describes the Collaborative’s priorities, including modernizing state and local data infrastructure, improving effective data use (privacy, self-sovereignty, and quality), and data readiness for AI and evaluation.

    Snyderman explains the Peterson Foundation’s focus on long-term fiscal sustainability and how bipartisan attention to improper payments, fraud, waste, and abuse can be reframed as a data issue that also improves benefit access.

    The panel discusses where philanthropy can test ideas and convene cross-sector partners, while noting limits in replacing federal system investments or making federal policy, and highlights opportunities to accelerate progress through responsible use of new technology and clearer communication to policymakers.

    If you enjoyed this conversation from our 2026 Data Summit, then you won’t want to miss our next big event: govDATAx, on September 15th at George Washington University.

    govDATAx brings together government leaders, data practitioners, policymakers, technologists, and researchers to advance the use of data for more effective, transparent, and accountable government.

    Learn more and register.

    Interested in learning more about Evi, the Evidence Act Hub AI assistant co-developed by the Data Foundation and Data Foundation Senior Fellow Ted Kaouk? A beta version is now available to test.



    govDATAx is the Data Foundation's flagship conference bringing together government leaders, data practitioners, policymakers, technologists, and researchers to advance the use of data for more effective, transparent, and accountable government.

    This year's govDATAx will be on Sept. 15 at George Washington University.

    Register now.

    Want to be part of a national community that promotes policies that enable government data to be high-quality, accessible, and usable? Join our Data Coalition: https://datafoundation.org/pages/join-the-data-coalition

    The Data Foundation is a 501(c)3 nonprofit, nonpartisan think tank. All contributions may be tax deductible. We appreciate all charitable contributions towards fulfilling our mission to make democratic society better for everyone by championing the use of open data and evidence-informed public policy. Donate: https://datafoundation.org/supportus

    Follow the Data Foundation on LinkedIn: http://www.linkedin.com/company/datafoundation

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    22 分
  • Taka Ariga on Using AI to Combat Waste, Fraud, and Abuse in Public Programs
    2026/05/19

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    In the latest episode of Data for the People!, Data Foundation Senior Fellow Taka Ariga discusses the prospect of artificial intelligence (AI) to enhance government efforts to prevent fraud and other types of improper payments in public benefit programs.

    Ariga was the first Chief Data Scientist at the Government Accountability Office (GAO) where he also directed GAO’s Innovation Lab. He later served as the Chief Data Officer (CDO) and Chief Artificial Intelligence Officer at the U.S. Office of Personnel Management. He is now a Senior Fellow with the Data Foundation and the founder of Sol Imagination, an AI advisory company.

    Amanda Cash, the Senior Director of the Data Foundation’s Center for Data Policy, joins the episode as a co-host.

    Learn more about the Data Foundation/Deloitte report discussed on the episode, Navigating Transition and Change: 2025 Survey of Federal Chief Data Officers.



    Want to be part of a national community that promotes policies that enable government data to be high-quality, accessible, and usable? Join our Data Coalition: https://datafoundation.org/pages/join-the-data-coalition

    The Data Foundation is a 501(c)3 nonprofit, nonpartisan think tank. All contributions may be tax deductible. We appreciate all charitable contributions towards fulfilling our mission to make democratic society better for everyone by championing the use of open data and evidence-informed public policy. Donate: https://datafoundation.org/supportus

    Follow the Data Foundation on LinkedIn: http://www.linkedin.com/company/datafoundation

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    47 分
  • The Case for Standardizing the Way We Report Climate and Environmental Data
    2026/04/20

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    This episode of Data for the People! explores a problem with climate and environmental data that burdens public agencies and the private sector: Currently, federal and state regulators have a host of different reporting requirements for climate and environmental data, such as data on greenhouse gas emissions. As a result, the data get reported in multiple ways to multiple regulatory entities, which hampers the public's ability to use the data while making it hard to monitor trends and evaluate the effectiveness of policies and programs. Private organizations also pay a price in terms of time and money to report similar information in different ways to comply with a patchwork of state and federal regulations.

    A recent paper by XBRL.US proposes that the public and private sectors adopt a structured standardized data format to simplify reporting and improve government's ability to measure trends across jurisdictions and data sets.

    The episode features three guests:

    • Liv Watson, a Senior Fellow with the Data Foundation's Climate Data Collaborative and a co-founder of the Digital Global Single Market Data Alliance
    • Catherine Atkin, a co-chair of the Law x Climate project at Stanford Codex as well as a Senior Fellow with the Data Foundation's Climate Data Collaborative and a co-founder of the Digital Global Single Market Data Alliance
    • Michelle Savage, Vice President of Communications for XBRL.US

    They discuss XBRL.US’s proposal to adopt structured, standardized, machine-readable reporting via a semantic data model to improve interoperability, support investors and policymakers, enhance AI use through better context, and reduce a growing patchwork of regulations.

    We're dropping this episode during the week of DC Climate Week (April 20-24, 2026) when we are co-hosting a full-day event on April 21 about climate and environmental data. Learn more about the event's programming and speakers here.

    The Data Foundation's Climate Data Collaborative makes climate and environmental data work better for decision-makers across sectors. Our vision is a federated and interoperable data ecosystem where decision-makers have the data needed to drive markets, mitigation, conservation, finance and compliance—one where public agencies provide foundational data and private actors are motivated to contribute. Learn more about the Climate Data Collaborative at www.ClimateDataCollaborative.org.

    Want to be part of a national community that promotes policies that enable government data to be high-quality, accessible, and usable? Join our Data Coalition: https://datafoundation.org/pages/join-the-data-coalition

    The Data Foundation is a 501(c)3 nonprofit, nonpartisan think tank. All contributions may be tax deductible. We appreciate all charitable contributions towards fulfilling our mission to make democratic society better for everyone by championing the use of open data and evidence-informed public policy. Donate: https://datafoundation.org/supportus

    Follow the Data Foundation on LinkedIn: http://www.linkedin.com/company/datafoundation

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    35 分
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