NSF award 2502298 · Georgia Tech Research Corporation

Collaborative Research: MFAI: Two Sides of a Tapestry: Causal Inference and Model Discovery Amid Information Gaps in Complex Data

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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award ending 2028-09-30 · Research.gov
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Extension request16 Aug 2028in 668 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 30 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2502298
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $430,000
Awardee: Georgia Tech Research Corporation, Atlanta, GA
Program: APPLIED MATHEMATICS, EPCL: Energy, Power, Control,
Directorate: ENG

Abstract

This project aims to advance machine learning methods for discovering cause-and-effect relationships in complex systems. While much of modern data science focuses on identifying patterns and correlations in data, such associations cannot explain why events happen or how changing one factor might influence another. Causal discovery addresses this fundamental challenge by revealing the mechanisms behind observed…

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