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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Moby.Read: Automated Basic Reading Assessment

    SBC: Analytic Measures Incorporated            Topic: EDIES17R0006

    Moby.Read is aa tablet-based speech recognition app that grade school students use to administer oral-reading fluency assessments in real-time. The app is intended to replace face-to-face oral reading assessments done by teachers, and to save time and increase the accuracy of the assessment. Through the teacher dashboard, Moby.Read will aggregate assessment results at the class and individual stud ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  2. Development of an Online, Multi-Challenge Platform for K-12 Students

    SBC: FUTURE ENGINEERS, LLC            Topic: edIES17R0006

    The project team will develop a platform that will facilitate design challenges in K-12 classrooms across STEM academic topics and career paths within the field of engineering. The platform will enable classes to post their projects to the site and for other classes around the country to participate in the project. Each challenge (and the associated education resources curated for that challenge) ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  3. Improving Administrators' Education Technology Discovery and Selection

    SBC: EDSURGE INC            Topic: edIES17R0006

    Concierge is a platform for school administrators to discover and select education technology products to support school improvement. The intended users are principals, technology coaches, and curriculum directors who are responsible for selecting and implementing education technology in K–12 classrooms or schools. Concierge will include components to guide administrators through the product dis ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  4. AlphaBear2

    SBC: Spry Fox LLC            Topic: EDIES17R0006

    This project team will fully develop and test AlphaBear 2, a vocabulary learning game for grade 4 to 7 students. Vocabulary is a prerequisite for academic success, as it is linked to stronger performance across academic subjects and improved reading comprehension. It is more difficult for students to participate in educational activities without understanding the key vocabulary associated with tha ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  5. A Collaborative Interface for Teacher-Student Interaction in Virtual Environments

    SBC: STRANGE LOOP GAMES INC.            Topic: edIES17R0005

    In prior projects, including a 2015 ED/IES SBIR award, the team developed two immersive multiplayer virtual game environments. In Eco and Colony, middle school students collaboratively apply scientific practices within the virtual worlds to address challenges, such as the availability of resources and energy and maintaining clean water. With this Phase I funding, the team is developing a prototype ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  6. StoryWorld: Formative Evaluation Dashboard for English Language Learners

    SBC: StoryWorld International Corporation            Topic: EDIES17R0005

    In prior research and development, the project team developed a StoryWorld, a computer-based intervention for English Learners (ELs) that presents children oral and written narratives in English while also providing the information in their first language. With this Phase I funding, the team will develop and test a prototype of a web-based dashboard that provides EL teachers real-time reports on c ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  7. CloudLab: Software Development for Hands-On Science Learning

    SBC: MYRIAD SENSORS, INC.            Topic: EDIES15R0005

    In prior research and development, the project team developed PocketLab, a set of web-based hands-on science simulations for middle school classrooms. With this Phase I funding, the team will develop and test a prototype of CloudLab, a classroom management platform to extend the functionality of PocketLab. The prototype will include a portal so that a class of students can collaborate on experimen ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  8. A Novel Platform for High-Quality Formative Assessment in Mathematics

    SBC: Simbulus, Inc.            Topic: edIES15R0005

    In prior research and development, the project team developed Woot Math, a web- and app-based mathematics intervention for algebra. With this Phase I funding, the team will develop and test a prototype of Woot Math Polls, an interactive formative assessment platform to facilitate teachers' real-time decision-making while students use Woot Math in the classroom. The prototype will allow teachers to ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  9. Interactive Administrator Dashboard for Improving School-Wide Behavior Supports

    SBC: Liveschool Inc.            Topic: edIES15R0005

    In prior research and development, the project team developed LiveSchool, an online platform to track student behavior. With this Phase I funding, the team will develop and test a prototype of an administrator dashboard. The dashboard will generate reports on individual student behavior patterns across classes and on the prevalence of behavioral issues across different teachers. The dashboard will ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  10. Machine learning for standoff detection of Special Nuclear Material (SNM)

    SBC: Clostra, Inc.            Topic: DTRA162001

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go to detecting Special Nuclear Material. Spectral analysis and signal processing can in some cases be augmented by the use of much larger neural nets that conduct much deeper analysis of features of t ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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