Award Data

For best search results, use the search terms first and then apply the filters
Reset

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

  1. Long-range SNM detection using alternative signatures

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA162003

    "Increasing the distance for standoff detection of nuclear materials, beyond that capable with direct radiation detection, using alternative signatures, such as the concentration of ionization in the surrounding atmosphere, improves the ability to locate, track and monitor this material. Ionizing radiation generates free elections, ions, and exited states in the nearby atmosphere, even when the s ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  2. Data-Driven Technology Discovery Methodologies

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: DTRA162005

    We propose to develop Prediction of Emergent SCIENce & Technology (PRESCIENT), a system that mines a text corpus of scientific patents and publications to discovers emerging technologies that may impact WMD or CWMD. PRESCIENT will take as input a diverse corpus of patents and publications, including metadata about contributing authors and organizations, and will produce as output alerts with timel ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  3. Machine Learning-based Capability for Radioactive and Nuclear Threat Detection and Identification

    SBC: Physical Sciences Inc.            Topic: DTRA162001

    Physical Sciences Inc. (PSI) proposes to develop an Advanced Learning-Enabled Threat Search (ALERTS) software to significantly enhance detection range and source classification accuracy during search for Special Nuclear Materials and other radioactive threats. The software will implement Machine Learning algorithms for automated extraction of spectral and temporal features by training on sets of g ...

    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. 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. Thermal and Fast Neutron Multiplicity Counter

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA162007

    Neutron multiplicity can provide effective detection and identification of shielded Special Nuclear Materials (SNM) based on analysis of the time correlated neutron multiplicity distribution. RMD is developing a composite detector, consisting of Cs2LiYCl6:Ce (CLYC) scintillator incorporated into dual-mode plastics, which provides an ideal solution for this task. CLYC offers (1) efficient thermal ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  7. 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
US Flag An Official Website of the United States Government