NSF award 2544147 · Columbia University

CAREER: Statistically Grounded Generative AI: Uncertainty Quantification and Principled Design

Final report due

29 December 2031

in 1,898 days · The award ends on 31 August 2031.

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award ending 2031-08-31 · Research.gov
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Extension request17 Jul 2031in 1733 days
award ending 2031-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2031in 1768 days
award ending 2031-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2031in 1898 days
award ending 2031-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2031in 1898 days
award ending 2031-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2031in 1898 days
award ending 2031-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 29 December 2031.

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Award card

Award number: 2544147
Period of support: 1 Sep 2026 – 31 Aug 2031
Amount: $405,000
Awardee: Columbia University, NEW York, NY
Program: STATISTICS
Directorate: MPS

Abstract

Generative artificial intelligence can create realistic text, images, and other complex data, offering new ways to support science, education, industry, and public decision-making. However, these systems can also make errors that are difficult for users to detect or measure. As a result, organizations may not know when generated data can be trusted, whether a system works equally well across different populations,…

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