NSF award 2615437 · Texas A&M University

Collaborative Research: CAIG: Transforming Understanding and Prediction of Nearshore Processes via AI-Powered Simultaneous Mapping of Bathymetry, Waves, and Currents

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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award ending 2029-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2029in 1068 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2030.

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Award card

Award number: 2615437
Period of support: 1 Oct 2026 – 30 Sep 2029
Amount: $340,975
Awardee: Texas A&M University, College Station, TX
Program: AI and Geosciences
Directorate: GEO

Abstract

Coastal storms erode beaches and increase flood risk, threatening communities, infrastructure, and ecosystems along the nation's shorelines. Predicting how beaches and nearshore waters will change during a storm requires knowing the bathymetry (shape and topography of the seafloor) just offshore and near the shoreline, but this information is notoriously difficult and expensive to collect, particularly during the…

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