NSF award 2515792 · Carnegie Mellon University

Causal Inference in the Presence of Interference for Randomized Experiments

Final report due

29 December 2027

in 437 days · The award ends on 31 August 2027.

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Decide about an extension3 May 2027in 197 days
award ending 2027-08-31 · Research.gov
This one is ours, not NSF’s.
Extension request17 Jul 2027in 272 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2027in 307 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2027in 437 days
award ending 2027-08-31 · 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 August 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2027.

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Award card

Award number: 2515792
Period of support: 1 Sep 2025 – 31 Aug 2027
Amount: $155,146
Awardee: Carnegie Mellon University, Pittsburgh, PA
Program: STATISTICS
Directorate: MPS

Abstract

Statistical experiments can improve our understanding of complex systems, including the communities, organizations, and local economies that make up our society. In these systems, individuals may be connected by mechanisms such as social influence, economic competition, sharing of information, or the transmission of disease. The presence of such mechanisms is known as interference. Interference greatly complicates…

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