NSF award 2550105 · Clemson University

CRII: III: Towards Traceable, Affordable and Explainable Automated Feature Generation for Tabular Data

Final report due

28 September 2027

in 345 days · The award ends on 31 May 2027.

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Decide about an extension31 Jan 2027in 105 days
award ending 2027-05-31 · Research.gov
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Extension request16 Apr 2027in 180 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2027in 215 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2027in 345 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2027in 345 days
award ending 2027-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2027in 345 days
award ending 2027-05-31 · 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 May 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2027.

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Award card

Award number: 2550105
Period of support: 1 Sep 2025 – 31 May 2027
Amount: $174,811
Awardee: Clemson University, Clemson, SC
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Features are used to describe the characteristics of objects. For example, "age", "smoking or not", and "years of smoking" are features of a patient, which can be used to describe the patient's physical condition, and furthermore, to predict if she or he is likely to get lung cancer. A combination of features could be more helpful to the prediction, e.g., "age" minus "years of smoking" can be a new feature to…

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