NSF award 2536664 · American University

Collaborative Research: FIRE-MODEL: Advanced AI Framework to Improve Understanding and Prediction of Wildland Fire

Final report due

30 April 2029

in 925 days · The award ends on 31 December 2028.

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Decide about an extension2 Sep 2028in 685 days
award ending 2028-12-31 · Research.gov
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Extension request16 Nov 2028in 760 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2028in 795 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2029in 925 days
award ending 2028-12-31 · 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 December 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 30 April 2029.

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Award card

Award number: 2536664
Period of support: 1 Jan 2026 – 31 Dec 2028
Amount: $867,245
Awardee: American University, Washington, DC
Program: Cross-BIO Activities
Directorate: GEO

Abstract

Understanding and predicting wildland fire are critical for effective response, resource allocation, and risk mitigation. However, this remains a major challenge due to the complexity of fire dynamics and the limitations of current data sources and modeling approaches. This project will develop innovative large-scale artificial intelligence (AI) and machine learning (ML) algorithms for the detection and forecasting…

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