Contract facts
FederalTRAINING. COUSE TITLE: (VIRTUAL) DATA SCIENCE CERTIFICATE TRAINING. THE COURSES INCLUDES PYTHON FOR DATA SCIENCE AND MACHINE LEARNING AS THE TWO CERTIFICATE PROGRAMS. is a federal award for 692m15 Acquisition & Grants, Aaq600 held by Cornell University. Estimated value $190K ($190K obligated). Current period of performance ends Dec 31, 2023. Last award drew 1 bidder. Place of performance: ITHACA NY.
TRAINING. COUSE TITLE: (VIRTUAL) DATA SCIENCE CERTIFICATE TRAINING. THE COURSES INCLUDES PYTHON FOR DATA SCIENCE AND MACHINE LEARNING AS THE TWO CERTIFICATE PROGRAMS.
Recompete timing
PublicCurrent PoP ended Dec 31, 2023 (964 days ago). The usual 12–18 month agency planning window is closed — recompete action looks late / overdue relative to a normal cycle. Watch for bridge orders, follow-ons, or a new solicitation.
Incumbent footprint
Public recordCornell University — $6.1M obligated across 33 awards (firm-wide, all agencies) · lead buyer Department of Defense (DOD).
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Frequently asked questions
What is contract 692M1522F00173?
692M1522F00173 (Virtual training. COUSE TITLE: DATA) is a 692m15 Acquisition & Grants, Aaq600 award with a potential value of $190K, currently held by Cornell University. Figures are USASpending-sourced public-record facts plus SCOUT recompete analysis.
Which office awarded 692M1522F00173?
692m15 Acquisition & Grants, Aaq600 awarded 692M1522F00173 to Cornell University (potential $190K).
Who is the incumbent on 692M1522F00173?
Cornell University is the incumbent with $6.1M across 33 related awards in SCOUT’s public footprint. The current period of performance ends Dec 31, 2023.
When does Cornell University’s 692M1522F00173 come up for recompete?
SCOUT tracks a period-of-performance end of Dec 31, 2023. Actual solicitation timing can shift with extensions, bridges, or consolidations.
Data: Showing contracts ≥ $100K from federal procurement records (FPDS-NG, SAM.gov, and related repositories), normalized by PrimeRFP SCOUT. Each row keyed by Award ID (PIID); task orders appear as independent rows.
