NSF award 2544082 · University of Connecticut

CAREER: Data-Driven Learning of Interpretable and Extrapolative Models of Complex Systems with Sparse Data

Final report due

28 October 2031

in 1,836 days · The award ends on 30 June 2031.

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Dates this award owes

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Decide about an extension2 Mar 2031in 1596 days
award ending 2031-06-30 · Research.gov
This one is ours, not NSF’s.
Extension request16 May 2031in 1671 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Jun 2031in 1706 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Oct 2031in 1836 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2031in 1836 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2031in 1836 days
award ending 2031-06-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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How we got this date

NSF lists this award's end date as 30 June 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 October 2031.

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Award card

Award number: 2544082
Period of support: 1 Jul 2026 – 30 Jun 2031
Amount: $563,385
Awardee: University of Connecticut, Storrs, CT
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Modern scientific and engineering challenges, from understanding cell growth to predicting material failure and crack formation under stress, require complex modeling and expensive experiments. While machine learning has demonstrated remarkable potential to accelerate scientific discovery for highly complex systems and reduce costs, its adoption in scientific research remains limited by a crucial bottleneck: the…

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