NSF award 2610910 · University of Pittsburgh

Simulation-Based Inference for Differential Privacy

Final report due

28 November 2027

in 405 days · The award ends on 31 July 2027.

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Decide about an extension2 Apr 2027in 165 days
award ending 2027-07-31 · Research.gov
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Extension request16 Jun 2027in 240 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2027in 275 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2027in 405 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2027in 405 days
award ending 2027-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2027in 405 days
award ending 2027-07-31 · 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 July 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2027.

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Award card

Award number: 2610910
Period of support: 1 Oct 2025 – 31 Jul 2027
Amount: $450,000
Awardee: University of Pittsburgh, Pittsburgh, PA
Program: Methodology, Measuremt & Stats
Directorate: SBE

Abstract

This research project will deliver tools to obtain accurate and broad statistical conclusions from data that are subject to privacy constraints. Differential Privacy is an increasingly adopted technique to protect data within government and industry, such as in the US 2020 Decennial Census. However, privacy protection comes at a cost in terms of accuracy of the analysis run on these data, sometimes drastically…

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