NSF award 2530655 · University of Virginia Main Campus

CICI: IPAAI: Multi-Layer Data Provenance and Federated Learning for Securing Scientific AI Pipelines

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: 2530655
Period of support: 1 Jan 2026 – 31 Dec 2028
Amount: $900,000
Awardee: University of Virginia Main Campus, Charlottesville, VA
Program: Cybersecurity Innovation
Directorate: CSE

Abstract

Artificial intelligence (AI) is becoming essential to scientific discovery in areas, such as biomedical research, environmental modeling, and genomics. However, the reliability of AI systems depends on the quality and integrity of the data used to train them. Scientific datasets are often collected from multiple sources, including laboratory instruments, simulations, and collaborative institutions. This variability…

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