NSF award 2617987 · Johns Hopkins University

CAREER: Optimism in Causal Reasoning via Information-theoretic Methods

Final report due

29 April 2028

in 559 days · The award ends on 31 December 2027.

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Decide about an extension2 Sep 2027in 319 days
award ending 2027-12-31 · Research.gov
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Extension request16 Nov 2027in 394 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2027in 429 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Apr 2028in 559 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Apr 2028in 559 days
award ending 2027-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Apr 2028in 559 days
award ending 2027-12-31 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 April 2028.

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Award card

Award number: 2617987
Period of support: 1 Oct 2025 – 31 Dec 2027
Amount: $599,996
Awardee: Johns Hopkins University, Baltimore, MD
Program: Comm & Information Foundations
Directorate: CSE

Abstract

Reasoning about the causes and effects of phenomena is a fundamental problem in the development of artificial intelligence. Causal reasoning from data also plays a key role in several disciplines, from engineering and computer science to medical research. A formal mathematical theory of probabilistic causation has been developed in the last few decades by Pearl (1995). Several algorithms that illustrate how much…

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