Episode 126: Using AI to Improve Science (with Paul Litvak)
From Two Psychologists Four Beers by Yoel Inbar, Michael Inzlicht, and Alexa Tullett
January 10, 2026 · 1h 15m · Episode 126
About this episode
Paul Litvak discusses how AI tools can enhance research quality and evidence assessment in science.
Paul Litvak joins the show to talk about how AI tools can help us measure research quality and assess evidence in the scientific literature. His first project is a way to extract test statistics and p-values from papers automatically, with no manual coding needed. We also talk about Paul's non-profit dedicated to improving the reliability of scientific research, the legendary judgment and decision making scholar Robin Dawes (whose entirely algorithmic approach to graduate student selection once went terribly awry), and Paul's exit from academia. Plus, Yoel reveals a shameful secret about his use of AI. Special Guest: Paul Litvak. Links: What If Everyone Knew Which Science to Trust? evidence.guide The Robyn Dawes Institute for the Improvement of Science Why are so many professors conservative? - by Paul Bloom Science is a strong-link problem - by Adam Mastroianni
People in this episode
Hosts: Yoel Inbar, Michael Inzlicht, Alexa Tullett
Guest: Paul Litvak
Topics covered
- AI in science
- research quality
- evidence assessment
- scientific literature
- non-profit organizations
- academic career
Keywords
- AI tools
- research quality
- test statistics
- p-values
- scientific literature
- non-profit
- Robin Dawes
- academic exit
Mentioned in this episode
Organizations: The Robyn Dawes Institute for the Improvement of Science, evidence.guide
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