NSF award 2550179 · Regents of the University of Michigan - Ann Arbor

CAREER: Foundations of Resource Efficient Machine Learning

Final report due

31 May 2027

in 225 days · The award ends on 31 January 2027.

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Dates this award owes

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Extension request17 Dec 2026in 60 days
award ending 2027-01-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jan 2027in 95 days
award ending 2027-01-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due31 May 2027in 225 days
award ending 2027-01-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due31 May 2027in 225 days
award ending 2027-01-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out31 May 2027in 225 days
award ending 2027-01-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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How we got this date

NSF lists this award's end date as 31 January 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 31 May 2027.

Read the rule on Research.gov

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Award card

Award number: 2550179
Period of support: 1 Oct 2025 – 31 Jan 2027
Amount: $559,029
Awardee: Regents of the University of Michigan - Ann Arbor, ANN Arbor, MI
Program: Comm & Information Foundations
Directorate: CSE

Abstract

Contemporary machine learning techniques tend to be resource-intensive, often requiring good quality datasets, expensive hardware, or significant computing power. In a wide array of application domains, ranging from healthcare to mobile computing, these critical resources are lacking. Novel methodologies that enable the optimal utilization of resources can help unlock the full potential of the data science…

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