Critical Orientation of Mathematics to Produce Advancements in Science and Security (COMPASS)
| Location: |
Federal |
| Posted: |
Jan 27, 2025 |
| Due: |
May 12, 2025 |
| Agency: |
DEPT OF DEFENSE |
| Type of Government: |
Federal |
| Category: |
- A - Research and development
|
| Solicitation No: |
DARPA-EA-25-02-03 |
| Publication URL: |
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Critical Orientation of Mathematics to Produce Advancements in Science and Security (COMPASS)
Active
Contract Opportunity
Notice ID
DARPA-EA-25-02-03
Department/Ind. Agency
DEPT OF DEFENSE
Sub-tier
DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
Office
DEF ADVANCED RESEARCH PROJECTS AGCY
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General Information
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Contract Opportunity Type: Solicitation (Updated)
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Updated Published Date: Jan 27, 2025 12:31 pm EST
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Original Published Date: Jan 15, 2025 02:21 pm EST
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Updated Date Offers Due: May 12, 2025 04:00 pm EDT
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Original Date Offers Due: May 12, 2025 04:00 pm EDT
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Inactive Policy: Manual
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Updated Inactive Date: Jun 11, 2025
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Original Inactive Date:
Jun 11, 2025
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Initiative:
Classification
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Original Set Aside:
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Product Service Code: AC11 - NATIONAL DEFENSE R&D SERVICES; DEPARTMENT OF DEFENSE - MILITARY; BASIC RESEARCH
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NAICS Code:
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Place of Performance:
Description
Mathematics is a pillar of national security. A decision-maker’s ability to synchronize military activities across five domains (i.e., air, land, maritime, space, and cyberspace), and adapt to rapidly changing threat landscapes hinges on robust mathematical frameworks and effective problem formulations that fully encapsulate the complexities of real-world operational environments. Unfortunately, mathematical approaches in Defense often rely on “good-enough” approximations, resulting in fragile solutions that severely limit our nation’s ability to address these evolving challenges in future conflicts. In contrast, establishing robust mathematical frameworks and properly formulating problems can yield profound and wide-reaching results.
For instance, the Wiener filter1 was developed during World War II to help the U.S. military discern threats in the air domain from noisy radar observations. However, the technology’s effectiveness was limited due to its strong assumption of signal stationarity, a condition rarely satisfied in operational settings. By leveraging a dynamical systems approach, in 1960 Rudolf Kalman reformulated the filtering problem in a more robust state-space framework that inherently addressed non-stationarity.2 Sixty years later, the Kalman filter remains a pillar of modern control theory, supporting military decisions in autonomous navigation, flight control systems, sensor fusion, wireless communications and much more. The combination of a robust mathematical framework with the right problem formulation enables transformative Defense capabilities. Achieving this, however, requires deep mathematical insight to properly formulate the problem within the context of the specific Defense challenge at hand.
To excel in increasingly complex, dynamic, and uncertain operational environments, military decision-makers need richer mathematical frameworks that fully capture the intricacies of these challenges. Emerging fields in mathematics offer the pot
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Contact Information
Contracting Office Address
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675 NORTH RANDOLPH STREET
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ARLINGTON , VA 222032114
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USA
Secondary Point of Contact
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