NSF award 2615987 · SUNY at Buffalo

Collaborative Research: CAIG: Advancing long-term temperature reconstruction using physics-informed neural networks through lake model emulation

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · 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 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2615987
Period of support: 15 Aug 2026 – 31 Jul 2029
Amount: $525,530
Awardee: SUNY at Buffalo, Amherst, NY
Program: AI and Geosciences
Directorate: GEO

Abstract

This project harnesses the power of Artificial Intelligence (AI) to turn environmental observations from multiple sites into uniform data products that can be used to conduct scientific research and address problems of national need. The specific observations here are sediment cores collected from lakes that can be analyzed to infer local temperature variations over thousands of years. The traditional method for…

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