NSF award 2451662 · San Diego State University Foundation

CRII: SaTC: Foundations for Differentially Private Provenance

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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Dates this award owes

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Decide about an extension2 Jun 2027in 227 days
award ending 2027-09-30 · Research.gov
This one is ours, not NSF’s.
Extension request16 Aug 2027in 302 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · 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 30 September 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2028.

Read the rule on Research.gov

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Award card

Award number: 2451662
Period of support: 1 Oct 2025 – 30 Sep 2027
Amount: $174,995
Awardee: San Diego State University Foundation, SAN Diego, CA
Program: Secure &Trustworthy Cyberspace
Directorate: CSE

Abstract

Provenance tracks the origin, creation, usage, and modifications of data, and is essential for verifying data integrity and conducting security audits. It supports compliance with strict privacy regulations in sectors like healthcare, finance, and government by maintaining detailed records of data activities. However, detailed provenance graphs can expose sensitive information and are vulnerable to adversarial…

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