SOLICITATION NOTICE
A -- National Geospatial-Intelligence Agency, Boosting Innovative GEOINT - Research, Broad Agency Announcement (NGA BIG-R BAA)
- Notice Date
- 6/18/2020 8:27:10 AM
- Notice Type
- Presolicitation
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- ATTN: MS S84 - OCS SPRINGFIELD VA 22150-7500 USA
- ZIP Code
- 22150-7500
- Solicitation Number
- HM0476-20-BAA-0001
- Archive Date
- 07/31/2023
- Point of Contact
- Kirby Beard, Phone: 571-557-2945
- E-Mail Address
-
kirby.d.beard@nga.mil
(kirby.d.beard@nga.mil)
- Description
- This announcement is a pre-solicitation synopsis and is not seeking proposals.� This pending Broad Agency Announcement (BAA) is a follow-on BAA to the National Geospatial-Intelligence Agency�s (NGAs) Boosting Innovative GEOINT BAA (BIG BAA, HM0476-16-BAA-0001) that effectively ended for new Topic posting on 07 December 2018.� This pre-solicitation announcement was also previously publicized under HM0476-19-BAA-0001.� It is presently anticipated that the general BAA solicitation and the first topic seeking abstracts/proposals will be published before 31 July 2020.� The mission of the National Geospatial-Intelligence Agency (NGA) Research Directorate is to deliver future Geospatial-Intelligence (GEOINT) capabilities to users for operational impact.� NGA Research solves hard defense and intelligence problems for the Intelligence Community and Department of Defense and supports the National Security Strategy. In support of this mission, we promote research initiatives across a broad spectrum of science and engineering disciplines and transform these initiatives into disruptive GEOINT capabilities for U.S. national security. �The Boosting Innovative GEOINT-Research Broad Agency Announcement (BIG-R BAA) invites proposers to submit innovative basic and applied research and development concepts that address one or more of the following technical domains:� (1) Foundational GEOINT, (2) Advanced Phenomenologies, and (3) Analytic Technologies. �Each of these domains is described below and includes a list of example research topics that highlight several (but not all) potential areas of interest. �Specific topic areas associated with these technical domains will be posted as Amendments throughout the open period of this Announcement. �Appendixes will be added to address Amendment information. �Each posted topic area will have specific timelines for abstract and proposal submission. �Abstracts and proposals submitted in response to this BAA must investigate innovative approaches that enable revolutionary advances or substantial improvements to the existing state of practice. Technical Domains of Interest Foundational GEOINT.� The Foundational GEOINT portion of our portfolio focuses on the creation of always accurate, high-resolution, continually updated representations of the earth�s properties, available on demand.� Topics of interest in this domain include, but are not limited to, innovations advancing the GEOINT physical sciences in the areas of:� (1) terrestrial/celestial reference frames, (2) earth gravitational models, (3) world magnetic models, (4) assured positioning, navigation and timing, and resilience, (5) geopositioning, (6) feature extraction, attribution, classification and modeling, (7) infrastructure models, (8) human geography and environmental models, �(9) bathymetric/topological models, and (10) maritime environmental mapping. Advanced Phenomenologies.� The Advanced Phenomenologies portion of our portfolio employs novel methods and efficient strategies to drive development and delivery of improved spatially, spectrally and temporally resolved data from a growing number of traditional and non-traditional sources.� Topics of interest in this domain include, but are not limited to, innovations advancing the design and development of algorithms, components, and enabling technologies for systems in the areas of:� (1) detection, tracking, and identification of the most challenging targets in complex environments, (2) sensing and real-time processing of both static and dynamic targets, (3) novel source exploitation and optimization, (4) collection technologies to optimize use of phenomenology sources, (5) space situational awareness, (6) information assurance, data integrity and quality validation, (7) error propagation modeling, and (8) multi-domain data aggregation. Analytic Technologies.� The Analytic Technologies portion of our portfolio enhances the definition and utility of GEOINT by leveraging new sources of data and developing novel analytic techniques to deliver a geospatial dimension to multi-INT analytics, in particular to address emerging threats and mission domains.� These technologies are driven by new data sources and provide accurate, timely, reliable and scalable methods for data exploitation, integration, and analysis.� Topics of interest in this domain include, but are not limited to, innovations in advanced processing techniques and enabling technologies for (1) geospatial signatures detection, analysis, and tracking, (2) derivation of GEOINT from non-traditional data in cyberspace, (3) stand-off detection of counter proliferation and chemical, biological, radiological, nuclear and explosive activities, (4) water security, (5) image/video understanding and computer vision, (6) image and product standards development and enhancement, (7) automatic target recognition, (8) temporal and activity modeling and contextualization, (9) event forecasting and prediction, (10) knowledge and ontology modeling, (11) artificial intelligence, to include novel learning techniques, (12) automation, to include software tools, (13) natural language processing, (14) social media analytics, (15) location-based insights, (16) workflow effectiveness and analyst workflow modernization, (17) human-machine interaction, (18) tools that better provide human understanding of automated solutions, (19) tools to guide algorithm and automation governance, and (20) immersive GEOINT visualization tools.
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/6616c9dba24f4b4ebf01f60f0946c9d7/view)
- Record
- SN05695283-F 20200620/200618230156 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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