Federal Contract Opportunity

Last Updated on 15 Dec 2023 at 10 AM
Solicitation
Springfield Virginia

NGA - Boosting Innovative GEOINT - Science & Technology Broad Agency Announcement (BIG-ST BAA)

Details

Solicitation ID HM047623BAA0001
Posted Date 15 Dec 2023 at 10 AM
Response Date 15 Dec 2026 at 4 AM
NAICS Category
Product Service Code
Set Aside No Set-Aside Used
Contracting Office Attn: Ms S84 - Ocs
Agency Department Of Defense
Location Springfield Virginia United states 22150

Possible Bidders

Amerisourcebergen Drug Corporation

Wayne Chesterbrook Malvern Conshohocken

Amerisourcebergen Drug Corporation

Wayne Chesterbrook Malvern Conshohocken

United Technologies Corporation

San jose East hartford San antonio South windsor Farmington Stratford Bridgeport Atlanta Hartford Oklahoma city Long beach Midland West palm bea Jupiter San diego North berwick Ft washington Windsor locks West palm beach

Agilent Technologies Incorporated

Santa rosa Palo alto Everett Cedar creek Englewood Carpinteria Colorado springs Roseville King of prussia North billerica Andover Chicago Lexington Wilmington Avondale Walnut creek La jolla Santa clara Columbia

Leidos Incorporated

Edgewood Newton Albuquerque Lexington park Vista Mashpee Oakland Waldorf Melbourne El segundo Schofield barracks Buffalo Abingdon Harrisburg Clearfield Sacramento Piscataway Lynnwood Honolulu North charleston Littleton Dayton Fort drum Greenbelt Champaign Pearl city Bellevue Aurora Chambersburg Waco Columbus Mc lean San antonio Sierra vista Albany Frederick Seal beach Arlington Alexandria La plata Aberdeen proving ground Hampton Sumter Beavercreek Atlanta Santa barbara Herndon Long beach Lorton Manassas Mclean Earth city New london Bridgewater Dublin Denver Fort bragg Saint louis Saint petersburg Bloomfield Chantilly Orlando Southbridge Oak ridge Crane Idaho falls Pittsburgh California Marlton Jupiter Bowie Fort irwin Lexington Colorado sprin Waimea King of prussia Houston Wakefield Boise Bethesda Camp arifjan Germantown Greenwood village Aiken Red bank Shalimar Washington Tucson Ann arbor Milford Ogden Twentynine palms Sterling Huntsville Gaithersburg Boyers Vienna Falls church Chesapeake Rockville Saint marys Minneapolis Warner robins Joppa Hanover Louisville Virginia beach Fayetteville Poulsbo Indian head Fountain valley Oklahoma city Charlottesville San diego Newport news Colorado springs Reston Richland King of prussi Billerica Fairfax Middletown Indianapolis Bagram air field O fallon Monterey Bothell Annapolis Newport Morgantown Columbia

Sign up to access Documents

Signup now

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 01:   'Geospatial-Intelligence Foundational Model' (GFM) published on 12/15/2023. See Attachments/Links.

Questions Due on 01/02/2024 @ 5:00pm ET

Abstracts Due on 01/23/2024 @ 5:00pm ET

Proposals Due on 03/04/2024 @ 5:00pm ET (Note: Proposers who do not submit an abstract are ineligible to submit a proposal.)

Contact Email for Topic 01: Unclassified: [email protected] (Email Subject: ‘TOPIC 01 – GFM’)

---------------------------------------------------------------------------------------------------