NGA - Boosting Innovative GEOINT - Science & Technology Broad Agency Announcement (BIG-ST BAA)
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Description
The Boosting Innovative GEOINT-Science and Technology (BIG-ST) Broad Agency Announcement (BAA) invites proposers to submit innovative concepts to address hard GEOINT problems that align to one or more of the following technical domains: (1) Foundational GEOINT, (2) Advanced Phenomenologies, and (3) Analytic Technologies. BAA Process and Topic Call Publication: The BIG-ST BAA is a general announcement of NGA�s research interest, including criteria for selecting proposals and soliciting the participation of all offerors capable of satisfying the Government�s needs. The requests for abstracts and/or proposals are transmitted via Topic Calls that are published separately under the BIG-ST BAA general solicitation at various times during the open period of the general solicitation. Topic Calls will be published via updates of the BIG-ST BAA General Solicitation site on Sam.gov and Grants.gov (Opportunity ID:351404). Interested parties should periodically check these websites for updates. No submissions shall be accepted to the general solicitation; abstracts and proposals will only be reviewed in response to Topic Calls. Please refer to the Topic Calls for Abstract and Proposal due dates. The BIG-ST BAA General Solicitation, HM047623BAA0001, is posted and applies to Topic 1 and forward. See Attachments/Links. Active Topics: Topic 1 - Geospatial-Intelligence Foundational Model (GFM) is active. Topic 2 - Magnifying University Science Expertise (MUSE) is active. --------------------------------------------------------------------------------------------------- Topic 01: 'Geospatial-Intelligence Foundational Model' (GFM) initially published on 12/15/2023. Revision 1 published on 01/24/2024. See Attachments/Links. Proposals were due on 03/22/2024 and are currently under review. ---------------------------------------------------------------------------------------------------------------------------------------------------- Topic 02: Magnifying University Science Expertise (MU…