NSF award 2530564 · University of Alabama Tuscaloosa

CAIG: AI-Guided Water Availability Tracking and Twin Systems for Infrastructure Resilience

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 30 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2530564
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $1,016,594
Awardee: University of Alabama Tuscaloosa, Tuscaloosa, AL
Program: EDUCATIONAL LINKAGES, GEO CI - GEO Cyberinfrastrctre
Directorate: GEO

Abstract

The rapid expansion of artificial intelligence (AI) infrastructure across the United States presents challenges for water resource management. AI infrastructure requires a large water supply for cooling. This project will develop three new AI models for water resources. The models will identify where water resources exist that can reliably support the growth of AI infrastructure. First, a large-scale AI model will…

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