NSF award 2616195 · University of Texas at Austin

Collaborative Research: CAIG: Improving the understanding of coastal groundwater and ocean exchange using machine learning

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

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Decide about an extension3 May 2029in 928 days
award ending 2029-08-31 · Research.gov
This one is ours, not NSF’s.
Extension request17 Jul 2029in 1003 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2029in 1038 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2029in 1168 days
award ending 2029-08-31 · 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 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2029.

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Award card

Award number: 2616195
Period of support: 1 Sep 2026 – 31 Aug 2029
Amount: $450,000
Awardee: University of Texas at Austin, Austin, TX
Program: AI and Geosciences
Directorate: GEO

Abstract

Rising seas, stronger storms, saltwater contamination of freshwater resources, and the degradation of coastal ecosystems increasingly challenge coastal communities. These pressures affect drinking water supplies, agriculture, infrastructure, local economies, and natural environments that millions of people rely on every day. This project seeks to improve understanding of these interconnected challenges by developing…

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