SPECIAL NOTICE
A -- Geoeconomic Modeling for National Security
- Notice Date
- 12/4/2024 10:14:09 AM
- Notice Type
- Special Notice
- NAICS
- 541715
— Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Contracting Office
- DEF ADVANCED RESEARCH PROJECTS AGCY ARLINGTON VA 222032114 USA
- ZIP Code
- 222032114
- Solicitation Number
- DARPA-SN-24-104
- Response Due
- 12/18/2024 11:00:00 AM
- Archive Date
- 01/18/2025
- Point of Contact
- RFI Coordinator
- E-Mail Address
-
DARPA-SN-24-104@darpa.mil
(DARPA-SN-24-104@darpa.mil)
- Description
- UPDATE: DARPA is extending the submission deadline for the subject RFI seeking information on the current state of geoeconomic modeling for national security applications. The information requested in the RFI remains unchanged. Any responses submitted before the initial RFI deadline in October 2024 are requested to be re-submitted to the inbox. The RFI focuses on three key aspects: Geoeconomic Models: Capabilities, limitations, and challenges of existing models used to analyze economic activity and predict outcomes. This includes structured econometric models, semi-structured models, and agent-based models. Data for Geoeconomic Modeling: Availability, quality, and limitations of data used to calibrate and train these models. The RFI acknowledges the challenge of accessing proprietary data and explores solutions. User Interaction with Models: Best practices for integrating data analysis with the modeling process to support informed decision-making. DARPA is particularly interested in: - Capabilities and limitations of current approaches to modeling and predicting economic activity. - Integration of existing models into a larger ecosystem for comprehensive analysis. - Novel concepts that could fundamentally improve geoeconomic modeling for national security purposes. The RFI includes specific details requested for both models and data, such as: - Model type, original objective, scalability, performance metrics, and calibration methods. - Data description, source, scale, completeness, accuracy, access restrictions, and format.
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/f2f0faa41fc54608a42ee3bf7f8a723a/view)
- Record
- SN07280826-F 20241206/241204230104 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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