NSF award 2522743 · Stanford University

AIMing: AI Theorem Proving Beyond Limited Data: Efficient Learning of Mathematicians' Ecosystem

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2522743
Period of support: 15 Sep 2025 – 31 Aug 2028
Amount: $1,000,000
Awardee: Stanford University, Stanford, CA
Program: Special Projects - CCF, MSPA-INTERDISCIPLINARY, OFFICE OF MULTIDISCIPLINARY AC, IIS Special Projects
Directorate: MPS

Abstract

Mathematical breakthroughs have historically driven advances in technology, national security, and economics. Examples of these breakthroughs include cryptography methods that protect digital infrastructure or algorithms that power modern computing, such as planning, supply chain, and navigation optimization. However, the pace of mathematical discovery is limited by the capacity of human mathematicians to explore…

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