NSF award 2609003 · Massachusetts Institute of Technology
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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Dates this award owes
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- Decide about an extension2 Jun 2029in 958 days
award ending 2029-09-30 · Research.gov
- Extension request16 Aug 2029in 1033 days
award ending 2029-09-30 · Research.gov
- No-cost extension notice20 Sep 2029in 1068 days
award ending 2029-09-30 · Research.gov
- Final report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
- Project outcomes report due28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
- Award is closed out28 Jan 2030in 1198 days
award ending 2029-09-30 · Research.gov
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How we got this date
- 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
- 2609003
- Period of support
- 1 Oct 2026 – 30 Sep 2029
- Amount
- $973,138
- Awardee
- Massachusetts Institute of Technology, Cambridge, MA
- Program
- Software Institutes, NAIRR-Nat AI Research Resource, 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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