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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. Fate and Fortune: A Story-Based Algebra Simulator of High Seas Trade

    SBC: MIDSCHOOLMATH, LLC            Topic: 99190018R0005

    Purpose: This project team will fully develop and test Fate and Fortune, an online class-wide intervention where grade 8 students learn algebra within a story-based game. Research demonstrates that students who do not succeed in algebra are more likely to eventually drop out of high school. When students begin Algebra I, a lack of conceptually meaning and understanding can be further reinforced by ...

    SBIR Phase II 2018 Department of EducationInstitute of Education Sciences
  2. Formulation and testing of an entirely wood-based exterior insulation board for the high-performance building market

    SBC: GO Lab Inc.            Topic: 17NCER6B

    The goal of this project is the formulation a rigid, insulating, low-density wood composite, with physical and thermal properties comparable to fossil fuel derived foams. _x000D_ _x000D_ To achieve energy conservation standards mandated by certification agencies such as Passive House and LEED, high performance buildings require multiple shells of insulation – an inner shell that contains electri ...

    SBIR Phase I 2018 Environmental Protection Agency
  3. Densely Connected Neural Networks for Remote Sensing

    SBC: LYNNTECH INC.            Topic: NGA181010

    The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. CyberCoach: An Automated System to Help Integrate Individuals with Memory Disabilities Into Employment or Independent Living Settings

    SBC: APPLIED HUMAN FACTORS INC            Topic: N/A

    N/A

    SBIR Phase I 2003 Department of Education
  5. Subsurface Treatment for Arsenic Removal

    SBC: Daniel B. Stephens & Associates, Inc.            Topic: N/A

    Subsurface treatment for arsenic removal (STAR) is an innovative technology for treatment of arsenic in groundwater at the wellhead. The STAR technology can result in large cost savings when compared with conventional above-ground treatment methods. The goal is to create a subsurface biogeochemical barrier composed of reactive iron hydroxide minerals and iron bacteria within the aquifer surround ...

    SBIR Phase I 2003 Environmental Protection Agency
  6. Efficient Regenerating Oxidizer for Destruction of Volatile Organic Compounds

    SBC: ENVIRONMENTAL TECHNOLOGY & EDUCATION CTR            Topic: N/A

    To help improve air quality, the U.S. Environmental Protection Agency is seeking innovative and cost-effective new technologies to remove volatile organic compounds (VOCs) from the emissions of stationary sources. The current technologies, carbon adsorbers and catalytic thermal oxidizers, are heavy, expensive, insufficiently regenerating, and sometimes not sufficiently effective to meet regulator ...

    SBIR Phase I 2003 Environmental Protection Agency
  7. Removal of Arsenic From Drinking Water Using a Novel Hybrid Sorbent

    SBC: VEETech, P.C.            Topic: N/A

    VEETech, in conjunction with Lehigh University, will synthesize and test novel hybrid sorbents (HIXs) for the removal of arsenic from drinking water. The HIXs are polymeric/inorganic hybrid sorbents in which cation exchange resin beads are irreversibly and uniformly coated with hydrated ferric oxide (HFO) materials. The HIXs are expected to demonstrate superior selectivity and capacity over othe ...

    SBIR Phase I 2003 Environmental Protection Agency
  8. Novel Field Deployable Electrochemical Sensor for the Detection and Long-Term Monitoring of Pollutants

    SBC: LYNNTECH INC.            Topic: N/A

    Chlorinated hydrocarbons represent the most prevalent contaminants of groundwater in the country. When released in the subsurface, they tend to persist below the water table, and it can take decades or centuries before slow-moving groundwater completely dissolves accumulations of chlorinated solvent product. Analytical methods currently available for monitoring these compounds require extensive ...

    SBIR Phase I 1997 Environmental Protection Agency
  9. Low Cost Heavy Metals Removal from Hazardous Wastewaters

    SBC: LYNNTECH INC.            Topic: N/A

    Heavy metal species mobilized and released into the environment by technological activities tend to persist indefinitely, circulating and eventually accumulating throughout the food chain, posing a serious threat to the environment, animals, and humans. Typical industrial metal-containing discharges can be considered as point-source emissions, which in turn offer the possibility of feasible remed ...

    SBIR Phase I 1997 Environmental Protection Agency
  10. Conundrum: A Project to Computerize the Comprehensive

    SBC: The Evans Associates            Topic: N/A

    CSMP is an exciting K-6 math program, designated as an "exemplary educational program that works¿ by the U.S. Department of Education, which funded its development, evaluation, and dissemination. Its spiral, problem solving approach uses picture languages, abaci, and technically challenging games. Simple problems subtly introduce sophisticated concepts. While class and teacher-student intera ...

    SBIR Phase I 1997 Department of Education
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