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Award Data

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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. ViA-ML: A Machine Learning backed Visualization Assistant

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: OSD13LD1

    With the proliferation of cheap sensors, reduction in storage costs and the ubiquity of communication networks, Cyber-Physical Systems are collecting and storing data at an unprecedented rate. Analysis of such large databases is necessary to find relevant information and improve the efficiency of the Cyber Physical System. The goal of an analysis tool, simply put is to find the most interesting in ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  2. Operators Context and Trust in Automation Visualization (OCTAV) Tool

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: OSD13HS5

    Pacific Science & Engineering Group (PSE) proposes to design, develop, and demonstrate a prototype human-autonomous system tool & #208;Operators Context and Trust in Automation Visualization (OCTAV) & #208; that will support improved transparency, trust, and human-machine team performance. OCTAV will automatically monitor human and autonomous system team context and task, visualize context-based s ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  3. A Hybrid Systems Approach to Intelligent Information Management in Human-Automation Interaction

    SBC: OPTIMAL SYNTHESIS INC.            Topic: OSD13HS5

    A formal approach to the management of information involved in human-automation interactions is proposed. The mathematical formalism is enabled by employing the notion of hybrid systems. The information management involves ensuring correct information flow and shared cognition between human operators and machines. It is envisioned that the proposed algorithms will formalize the analysis of human-a ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  4. Biometrics for Human-machine Team Feedback in Autonomous Systems

    SBC: TIAX LLC            Topic: OSD141AU1

    Use of Google Glass and add-ons to monitor warfighter state.

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  5. Exploiting Unobtrusive Psychophysiological Sensors and Work Context to Enhance Monitoring of Human-Automation Interaction

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: OSD141AU1

    We propose a three-pronged approach to advancing the state of the art in human state assessment. First, we will employ a small number of complementary sensors that can be naturally integrated into the work setting without complicated setup requirements. By integrating unobtrusively into the operator"s environment, we hope to minimize the artificiality that can impact operator behavior. Second, in ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
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