On May
16, the National Geospatial-Intelligence Agency announced its intent to issue a
sole source award for PRIORI support.
Under the authority
of 10 U.S.C. 2304(c)(3), as implemented in FAR 6.302-3, the National
Geospatial-Intelligence Agency (NGA) intends to issue a sole-source award to
support the Automated Analytic Models Program, Prioritizing Reportable Imagery
Using a Priori Knowledge (PRIORI) Project. The award will be made to
Johns Hopkins University Applied Physics Laboratory (JHU/APL), located at 11100
Johns Hopkins Rd., Laurel, MD 20723. JHU/APL is a University Affiliated
Research Center (UARC) under contract with the Department of the Navy. A
UARC is a strategic United States Department of Defense (DoD) research center
associated with a university. UARCs were formally established by the Director
of Defense Research and Engineering (DDR&E), Office of the Secretary of
Defense, to ensure that essential engineering and technology capabilities of
particular importance to the DoD are maintained. These not-for-profit
organizations maintain essential research, development and engineering “core”
capabilities; maintain long-term strategic relationships with their DoD
sponsors; and operate in the public interest, free from real or perceived
conflicts of interest.
Pursuant to 10 U.S.C.
2304 (c)(3)(B), and implemented in FAR 6.302-3, “the head of an agency may use
procedures other than competitive procedures only when- it is necessary to
award the contract to a particular source or sources in order to- establish or
maintain an essential engineering, research, or development capability to be
provided by an educational or other nonprofit institution or a federally funded
research and development center.”
This contract is for
the development of PRIORI algorithms and techniques that apply historical data
for deriving behavior models with the goal of improving geolocation and classification
for areas of interest. The goal of the PRIORI Project is to mitigate the
difficulty of image review over an assigned area of responsibility since
computer vision algorithms are not accurate enough to do the review
automatically.
The period of performance for this requirements is one base year and two one year phases.
Source: FedBizOpps
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