Closed Solicitation · DEPT OF DEFENSE

    CRITICAL ORIENTATION OF MATHEMATICS TO PRODUCE ADVANCEMENTS IN SCIENCE AND SECURITY (COMPASS)

    Sol. DARPA-EA-25-02-03SolicitationARLINGTON, VA
    Closed
    STATUS
    Closed
    closed May 12, 2025
    POSTED
    Jan 31, 2025
    Publication date
    NAICS CODE
    541715
    Primary industry classification
    PSC CODE
    AC11
    Product & service classification

    AI Summary

    The Department of Defense's DARPA is seeking innovative mathematical solutions to enhance national security by improving military synchronization across air, land, maritime, space, and cyberspace. The solicitation emphasizes the need for robust mathematical frameworks to address complex operational challenges, moving beyond "good-enough" approximations. Bidders are encouraged to leverage deep mathematical insights to formulate problems effectively, aiming for transformative advancements in defense capabilities.

    Contract details

    Solicitation No.
    DARPA-EA-25-02-03
    Notice Type
    Solicitation
    Posted Date
    January 31, 2025
    Response Deadline
    May 12, 2025
    NAICS Code
    541715AI guide
    PSC / Class Code
    AC11
    Contract Code
    97AE
    Primary Contact
    BAA Coordinator
    State
    VA
    ZIP Code
    222032114
    AI Product/Service
    service

    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

    Key dates

    1. January 31, 2025Posted Date
    2. May 12, 2025Proposals / Responses Due

    AI search tags

    Frequently asked questions

    CRITICAL ORIENTATION OF MATHEMATICS TO PRODUCE ADVANCEMENTS IN SCIENCE AND SECURITY (COMPASS) is a federal acquisition solicitation issued by DEPT OF DEFENSE. Review the full description, attachments, and submission requirements on SamSearch before the response deadline.

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