NSF award 2609004 · University of Minnesota-Twin Cities

Collaborative Research: Frameworks: ML4GW, a machine learning ecosystem for gravitational wave data analysis

Final report due

28 January 2030

in 1,198 days · The award ends on 30 September 2029.

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Final report due28 Jan 2030in 1198 days
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PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
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Award is closed out28 Jan 2030in 1198 days
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NSF lists this award's end date as 30 September 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2030.

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Award card

Award number: 2609004
Period of support: 1 Oct 2026 – 30 Sep 2029
Amount: $880,650
Awardee: University of Minnesota-Twin Cities, Minneapolis, MN
Program: NAIRR-Nat AI Research Resource, Software Institutes, PHYSICS AT THE INFO FRONTIER
Directorate: CSE

Abstract

Since the first direct observation of gravitational waves in 2015, a new field of astronomy has fundamentally changed how the universe can be explored. A gravitational wave is a ripple in spacetime produced when two extremely dense objects, such as black holes or neutron stars, collide. The detectors that observe these signals now record hundreds of such events per year, and the rate is expected to grow to several…

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