Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until September, 2020.

  1. 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
  2. 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
  3. Plan Learning Across Textual Observations (PLATO)

    SBC: LANGUAGE COMPUTER CORPORATION            Topic: DTRA162004

    In Phase I of PLATO (Plan Learning Across Textual Observations ), Language Computer Corporation will explore how best to migrate state-of-the-art plan recognition techniques to the more complex genre of textual data addressing such issues as varied textual inputs, diverse subject matter domains, changes in agent plans and goals, unclear or underspecified temporal relationships between actions, an ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  4. 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
  5. Portable, Fieldable, Non- Helium-3 Based Neutron Multiplicity Counter

    SBC: PROPORTIONAL TECHNOLOGIES, INC.            Topic: DTRA162007

    Neutron coincidence counters are currently based on 3H technology. A worldwide 3He shortage plus the need for significant improvements in performance necessitate the development of a new class of neutron detectors. We propose the use of boron-coated straw (BCS) detectors, consisting of 4 mm diameter copper tubes lined with 10B-enriched boron carbide (10B4C). Previous studies have shown that BCS de ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
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