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--- Results for America CEO Michele Jolin and GovEx's Oliver Wise discuss how governments can use evidence, data, and cross-sector partnerships to fund solutions that improve lives and rebuild public trust. --- In this e...
#107 - Trust Through Results: Data, Evidence, and the Future of Public Service is an episode from GovEx Data Points by GovEx Data Points. --- Results for America CEO Michele Jolin and GovEx's Oliver Wise discuss how governments can use evid...
This episode belongs to GovEx Data Points.
Use the player on this page to stream the episode online.
Published Mar 12, 2026, 0:22:01 long, audio available.
--- Results for America CEO Michele Jolin and GovEx's Oliver Wise discuss how governments can use evidence, data, and cross-sector partnerships to fund solutions that improve lives and rebuild public trust. --- In this episode of the Data Points Podcast, GovEx Executive Director Oliver Wise sits down with Michele Jolin, co-founder and CEO of Results for America, to discuss how governments at every level can use data and evidence to invest in solutions that work. --- Michele shares how her experience in the Obama administration led to the creation of Results for America, an organization focused on helping governments fund programs proven to accelerate economic mobility and improve lives. The conversation explores the evolution of the data and evidence movement, the growing role of local governments as pragmatic problem solvers, and why demonstrating results and telling those stories is critical to rebuilding public trust in government. --- Learn more about Results for America --- Learn more about GovEx! --- Fill out our listener survey
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#107 - Trust Through Results: Data, Evidence, and the Future of Public Service is an episode from GovEx Data Points by GovEx Data Points.
This episode is 0:22:01 long.
This episode was published on Mar 12, 2026.
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#107 - Trust Through Results: Data, Evidence, and the Future of Public Service is from GovEx Data Points by GovEx Data Points.
Published Mar 12, 2026 and 0:22:01 long