RESEARCH AND DEVELOPMENT TO USE AI/ML TO DENOISE SEISMIC AND INFRASOUND DATA TO IMPROVE SIGNAL DETECTION AN…
Award details are derived from public USAspending.gov records linked to this contractor. Not a bid recommendation.
Award details
- Award ID
- FA702226C0005
- Contractor
- UNIVERSITY OF ALASKA FAIRBANKS
- Awarding agency
- Department of Defense
- Sub-agency / office
- Department of the Air Force
- Award amount
- $324,024
- Period of performance
- Jan 15, 2026 – Jan 14, 2028
Public award description
RESEARCH AND DEVELOPMENT TO USE AI/ML TO DENOISE SEISMIC AND INFRASOUND DATA TO IMPROVE SIGNAL DETECTION AND CHARACTERIZATION.
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Recompete monitoring
Awards approaching a documented period-of-performance end date. Related forecasts or opportunities are linked only when explicit references or strong deterministic signals match — expiration alone is not a confirmed recompete.
- Period ends
- Jan 14, 2028 (461 days)
- Evidence status
- MONITOR
- Evidence score
- 10 (deterministic, not pWin)
Supporting evidence
- FACT: Award period end date — 2028-01-14
- FACT: Award start date — 2026-01-15
- DERIVED: Days until period end — 461
- FACT: Award recipient (incumbent on this award) — UNIVERSITY OF ALASKA FAIRBANKS
- FACT: Awarding agency — Department of Defense
- FACT: Award amount (obligated/total as stored) — 324024