Evidence in the Wild
Evidence in the Wild is a podcast about how data and research really get used in education. Hosted by researcher and former college professor Josh Stewart, this show features honest, engaging conversations with educators, administrators, and policy folks navigating the messy…
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 18, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 8, 2026
Latest episodes
Sooth's Jeff Walsh on the Hidden Cost of AI Summaries Pt.2 (opens the original)
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Part 2 picks up with Jeff Walsh, CEO and founder of Sooth, digging into how the platform actually works and why it's built the way it is. Jeff breaks down Sooth's curated, source-diverse approach and reframes the "walled garden" criticism with a memorable analogy: information as food, with Sooth serving as the FDA label. The conversation closes on the episode's core thesis: education needs to build human foundations and independent thinking first, with AI coming only after that groundwork is lai
Sooth's Jeff Walsh on the Hidden Cost of AI Summaries Pt.1 (opens the original)
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In part 1 of 2 episodes, Jeff Walsh joins us to discuss how AI-powered search is quietly failing the people who need reliable information most. As the CEO and founder of Sooth, the only internet search engine built specifically for students, Jeff shares the reality of Google's move to AI-generated search results and what that means for how students learn. He unpacks the slow erosion of critical thinking as people lose the ability to think and problem-solve without AI assistance. It's a compellin
Kimberly Smith of Digital Promise on Equitable Innovation (opens the original)
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Kimberly Smith of Digital Promise, co-lead of the Center for Learner Pathway Innovations and Executive Director of the League of Innovative Schools, joins the podcast to unpack what actually makes school R&D stick. This discussion covers the six dimensions behind sustainable innovation, why mindsets matter more than tools or systems, and how districts of any size can start small without a big budget or a dedicated research department. Kim also shares a preview of a new self-assessment tool from
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