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Award Data
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.
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Collaborate
SBC: AUFERO LLC Topic: 91990019R0011The team will develop a prototype of Collaborate, a traditional board game for use in high school and college level computer science courses. Gameplay mechanics will center on strategy and cooperation with a whole class over several weeks. Content will focus on foundational computer science topics, such user interface design, quality assurance, deploying resources, managing risk, and adjusting to ...
SBIR Phase I 2019 Department of EducationInstitute of Education Sciences -
The Training, Education, and Apprenticeship Program Outcomes Toolkit (TEAPOT)
SBC: IMPACT LAB, LLC, THE Topic: 91990019R0016Researchers will conduct a pilot study with a socio-economically and diverse sample of at least 500 high school students who will test the prototype ROI tool. The researchers will examine the feasibility and usability of the prototype, whether ROI information increases search and discovery for educational opportunities; whether having ROI information increases the likelihood of click-through rates ...
SBIR Phase I 2019 Department of EducationInstitute of Education Sciences -
Intellifusion- A System for Augmenting Inductive Loop Vehicle Sensor Data with SPAT and GrID (MAP) via Data Fusion
SBC: HARMONIA HOLDINGS GROUP, LLC Topic: 111FH2Our goal is to create a demonstrable prototype system at the end of Phase I which fuses IntelliDrive (SM) data with data from traditional inductive loop detectors and uses this data in a modified NEMA TS2 traffic signal controller within eTEXAS Model for Intersection Traffic to reduce traffic delay at intersections. Our work will improve the safety of intersections and improve the mobility of traffic through adaptive traffic control which uses data produced by IntelliFusion, the product of our research. The process of data fusion involves merging data obtained fr
SBIR Phase I 2011 Department of Transportation