grant

Collaborative Research: Calibrated Hypothesis Testing

Organization University of California-BerkeleyLocation BERKELEY, United StatesPosted 1 Jun 2026Deadline 31 May 2029
NSFUS FederalResearch GrantScience FoundationCA
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Scientific findings should come with error rates that mean what they say: among findings assigned a 5 percent chance of error, about 5 in 100 should turn out to be wrong. This standard, called calibration, underlies trusted probability claims from weather forecasting to machine learning (ML), but it is not yet a routine part of the statistical…

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Collaborative Research: Calibrated Hypothesis Testing — University of California-Berkeley | United States | Jun 2026 | Dev Procure