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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. GoManage: A Self-Management Curriculum App for Students with Disabilities

    SBC: ATTAINMENT CO., INC.            Topic: 91990021R0003

    Not available

    SBIR Phase II 2021 Department of EducationInstitute of Education Sciences
  2. GoManage: A Self-Management Curriculum App for Students with Disabilities

    SBC: ATTAINMENT CO., INC.            Topic: 91990020R0006

    This project will develop a prototype of GoManage, a self-management app for students with disabilities to choose a target goal, track progress towards that goal, and earn virtual tokens as they go. Participants will include students from Kindergarten to grade 8 who have extensive language support needs (for example, students with autism or an intellectual disability) and less extensive language s ...

    SBIR Phase I 2020 Department of EducationInstitute of Education Sciences
  3. Go Write

    SBC: ATTAINMENT CO., INC.            Topic: 91990018R0006

    In this project, the team will develop a prototype of GoWrite, a platform designed for students with moderate to severe disabilities to guide instruction in writing. The cross-curricular intervention will have four modes including instruction, writing about academic content, journaling, and social media. At the end of Phase I, in a pilot study with 30 students (10 each in grade school, middle scho ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  4. Probabilistic subseasonal weather forecasts for the energy & agricultural sectors

    SBC: CLIMATE FORECAST APPLICATIONS NETWORK, LLC            Topic: 831C

    The proposed research addresses Climate Adaptation and Mitigation: Probability Forecasts of Business Impact Variables from CFS2 Ensembles. Climate Forecast Applications Network (CFAN) develops innovative weather and climate forecast tools that support decision-oriented solutions for our clients. The focus of this proposal is on business-relevant subseasonal forecasts for the energy and agricultura ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Novel Method for Ground-based GNSS Radio Occultation Measurement

    SBC: PROPAGATION RESEARCH ASSOCIATES, INC            Topic: 861X

    Propagation Research Associates, Inc., (PRA) proposes to redesign our existing Enhanced Tropospheric Effects Compensation ground-based radio occultation (RO) measurement system, which was developed, prototyped, and demonstrated under previous SBIR contracts, for the purpose of optimizing cost and performance. Assimilation of space-based RO measurements into numerical weather models is a proven met ...

    SBIR Phase I 2015 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Reducing Impact of Severe Space Weather on Global Positioning System (GPS) Satellite Users

    SBC: PROPAGATION RESEARCH ASSOCIATES, INC            Topic: 844W

    In Phase II, Propagation Research Associates, Inc., (PRA) proposes to complete the development of a real-time nowcast of ionospheric scintillation impacts on GPS users. Continuing its partnership with NASA’s Jet Propulsion Laboratory, PRA will implement real-time production of a map of ionospheric scintillation parameters over the United States using real-time data streamed from the National Geo ...

    SBIR Phase II 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Development of a GPU-based High Performance Community Radiative Transfer Model

    SBC: Hyper Sensing, LLC            Topic: 835D

    Computation of the radiative transfer model for a hyperspectral sounder with thousands of spectral channels is very time-consuming. Consequently, operational data assimilation systems can assimilate only a few hundred channels. The radiative transfer model is very suitable for GPU implementation to take advantage of GPU massively parallel computing capability, where radiances at various channels c ...

    SBIR Phase I 2011 Department of CommerceNational Oceanic and Atmospheric Administration
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