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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. M&S Uncertainty Quantification

    SBC: NUMERICA CORPORATION            Topic: MDA12T007

    A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  2. Naturalistic Neurocognitive Assessment Using Mobile Gaming Platforms

    SBC: Vista Partners LLC            Topic: A12aT029

    The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

    STTR Phase I 2013 Department of DefenseArmy
  3. EOIR Debris Management during ascent phase for C2BMC

    SBC: SCITEC INC            Topic: MDA12T004

    SciTec, Inc., in collaboration with the University of Michigan (U. Mich.), proposes to develop advanced processing and exploitation algorithms and methods in order to improve the ability of the Missile Defense Agency"s (MDA"s) Command, Control, Battle Management and Communications (C2BMC) to characterize and transmit information about complex, cluttered scenes of operational relevance. The metho ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. Post Intercept Debris Predictions for EO/IR Scene Modeling

    SBC: SCITEC INC            Topic: MDA12T005

    SciTec and Sandia National Laboratories (SNL) propose a multi-scale simulation architecture for generating optical signatures from missile intercept debris clouds based on output from hydrocode tools developed at SNL while furthering optical data exploitation from the library of Aegis Ballistic Missile Defense (ABMD) intercept test. This will require developing data-driven relationships for match ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Dim Closely Spaced Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    EO/IR elements of the Ballistic Missile Defense System (BMDS) responsible for detecting and tracking ballistic missile threats encounter extraordinarily challenging threat and scene phenomenology. Specifically, non-stationary clutter characteristic of airborne and satellite-based sensor systems, along with dim target signatures, closely-spaced objects, and dense debris clouds typical of ballistic ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  6. EOIR Debris Management during ascent phase for C2BMC

    SBC: APPLIED MATHEMATICS, INC.            Topic: MDA12T004

    We propose to develop algorithms to improve debris management for electro-optical/infrared sensors (EO/IR) within C2BMC. Our goal is to improve fire control solutions, increase the quality of communicated sensor information, and reduce communication demands. We characterize the pre-intercept debris field mathematically by expressing the debris fields viewed on the sensor"s focal plane as 2D elli ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  7. M&S Uncertainty Quantification

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: MDA12T007

    OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  8. M&S Uncertainty Quantification

    SBC: M4 ENGINEERING, INC.            Topic: MDA12T007

    M4 Engineering, Inc. and Missouri S & T propose to investigate and refine uncertainty quantification (UQ) methods for Ballistic Missile Defense Systems (BMDS) Modeling and Simulation (M & S) with the emphasis on demonstrating the feasibility of non-intrusive stochastic expansions based on polynomial chaos, which will address the accuracy and computational efficiency issues associated with UQ in BM ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. ModelSHOP- Model for Simulated Human Operator Performance

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: MDA12T006

    We propose to develop the Model for Simulated Human Operator Performance (ModelSHOP), a behavior authoring and execution capability for injecting variable Human-in-Control (HIC) actions and decisions into Ballistic Missile Defense System (BMDS) simulation. ModelSHOP will provide a generative model structure for representing key human performance moderators to combine in different ways to simulate ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  10. Cognitive Task Analysis Based Modeling and Simulation Environment for Cyber Training and Assessment

    SBC: Scalable Network Technologies, Inc.            Topic: OSD12T08

    The goal of the proposed work is to develop simulation and analysis model based on cognitive task analysis for cyber situation awareness, for human-in-the-loop testing and training. Cognitive task analysis technique is a prominent approach that captures knowledge representation used by experts to perform complex tasks. It provides a comprehensive vulnerability assessment using cognitive metrics t ...

    STTR Phase I 2013 Department of DefenseArmy
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