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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. Graspable Math Activities

    SBC: GRASPABLE INC            Topic: 91990018R0006

    Through previous grant awards from IES, researchers developed Graspable Math, a tablet-based intervention where middle and high school students create and manipulate complex expressions for basic operations as well as equations and equations systems and inequalities. In this project, the team will develop a prototype of Graspable Math Activities, an app with novel kinds of algebra practice and ass ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  2. Developmentally Appropriate Technology for Science Assessment in Early Elementary Grades

    SBC: 3-C Institute for Social Development, Inc.            Topic: 99190018R0006

    In this project, researchers will develop a prototype of Science Quest, a tool to assess the science skills and understanding for students in grades 1 to 3. The prototype will deliver psychometrically validated assessment items in a game-like format. Educators will be able to assign and monitor completion of science assessments, view assessment results in real-time with reports at the individual a ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  3. Video to Feature Data Association and Geolocation

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: NGA181007

    This SBIR Phase I project proposes a probabilistic approach to determine a vehicles location using onboard video sensors and foundationalmap data. The system does not rely on only one type of information source, instead it combines proposals from a variety of locationestimators to find a vehicles location in GPS-denied environments.The system takes advantage of recent advancements in computer visi ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Deep-False Alarm Suppression Technique (D-FAST)

    SBC: Deep Learning Analytics, Llc            Topic: NGA181003

    Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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