NSF award 2502941 · Alabama State University

Excellence in Research: Mitigating Confounding Errors in Real-World Machine Learning for Robust Decision Support

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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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: 2502941
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $674,160
Awardee: Alabama State University, Montgomery, AL
Program: HBCU-EiR - HBCU-Excellence in, HCC-Human-Centered Computing
Directorate: CSE

Abstract

User-generated contents, such as online reviews or social media posts, often contain hidden information like education, personal preferences, location, or language. This information, known as confounding factors, can affect the contents and impact the outcomes of decision systems. When applying machine learning for real-world decision support, those confounding factors can easily have negative effects on model…

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