NSF award 2446127 · Auburn University

Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University

Final report due

29 December 2030

in 1,533 days · The award ends on 31 August 2030.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

Decide about an extension3 May 2030in 1293 days
award ending 2030-08-31 · Research.gov
This one is ours, not NSF’s.
Extension request17 Jul 2030in 1368 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2030in 1403 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

NSF lists this award's end date as 31 August 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2030.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number: 2446127
Period of support: 1 Sep 2025 – 31 Aug 2030
Amount: $1,500,000
Awardee: Auburn University, Auburn, AL
Program: COMPUTATIONAL MATHEMATICS, WORKFORCE IN THE MATHEMAT SCI, OFFICE OF MULTIDISCIPLINARY AC
Directorate: MPS

Abstract

Artificial intelligence (AI) and data science are revolutionizing the way complex systems are modeled, data is analyzed, and decisions are made across science, technology, and industry. There is a growing need to train researchers with a rigorous mathematical foundation to ensure that AI and data-driven methods are reliable, efficient, and adaptable to real-world challenges. This Research Training Group (RTG)…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.