Project Management of Coast Guard Academy Center for Artificial Intelligence and Machine Learning Research Projects
Past New Requirement Updated
- Agency
-
Coast Guard
Department of Homeland Security
- Solicitation expected
- Estimated value
- $500,000 to $1,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541611 Administrative Management and General Management Consulting Services
- Place of performance
- New London, CT
- Forecast number
- F2026074610
- Points of contact
-
- Troy Castineira troy.a.castineira@uscg.mil (214) 260-5331
Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.
About this forecast
The U.S. Coast Guard is procuring project management and administrative support for the Coast Guard Academy Center for Artificial Intelligence and Machine Learning Research Projects, with solicitation release targeted for August 24, 2026, and award anticipated on September 15, 2026. The contractor will oversee and administer funding for USCGA Center for AI/ML research activities, including subcontracting qualified analysts to provide consulting and subject matter expertise supporting USCGA initiatives in radar data integration for risk-based interdiction, AI-enabled cutter scheduling, and improved response processes for Aids to Navigation discrepancies. The contract will be awarded on a Firm Fixed Price basis under Other Transaction Authority.
The estimated award value ranges from $500,000 to $1,000,000, with a period of performance from September 15, 2026, through September 14, 2027. Work is performed in New London, Connecticut. Troy Castineira, Administrative Assistant in Operations at the United States Coast Guard, serves as the point of contact at troy.a.castineira@uscg.mil or (214) 260-5331.
Forecast text
Oversee and administer funding to support USCGA Center for AI/ML research activities, including subcontracting qualified analysts to provide consulting and subject matter expertise in support of USCGA initiatives. The effort is associated with research areas such as radar data integration for risk-based interdiction, AI-enabled cutter scheduling, and improved response processes for Aids to Navigation discrepancies.
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