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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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. Cyberchase Fractions Quest

    SBC: FABLE VISION, INC.            Topic: EDIES17R0006

    The final product is Cyberchase Fractions Quest—a math game based on the storyline of PBS children's television series, Cyberchase. In the game, students in grades 3 and 4 will apply learning fractions within three contexts: areas and regions (such as shapes), sets (groups of objects), and on a number line. The game will identify specific areas where students struggle and will introduce challeng ...

    SBIR Phase II 2017 Department of EducationInstitute of Education Sciences
  2. Determining Students' Academic Engagement while Completing Learning Activities and Assessments

    SBC: Tutorgen, Inc.            Topic: edIES15R0005

    With this Phase I funding, the project team will develop and test a prototype of D-TECH, a system to determine students' level of academic engagement while completing computer-based learning activities and assessments. The prototype will integrate within existing third party computer-based programs (e.g., online courseware, educational games, simulations, intelligent tutors) and will consist of a ...

    SBIR Phase I 2017 Department of EducationInstitute of Education Sciences
  3. Encapsulation of Biological Contaminants in Transportation Systems

    SBC: TIAX LLC            Topic: 15NCER07

    TIAX has developed a technology to meet EPA and homeland security needs for bio-agent decontamination in railway cars and other situations. It provides simultaneous encapsulation and killing of biological contaminants with the added capability for decontamination of chemical and radiological hazards. Current technologies are labor-intensive involving separate steps for site preparation, decontamin ...

    SBIR Phase II 2017 Environmental Protection Agency
  4. Inexpensive Formaldehyde Sensor for Indoor Air Quality Application

    SBC: Giner, Inc.            Topic: 16NCER1A

    Formaldehyde is a reactive and flammable aldehyde which is well known as one of the harmful volatile organic compounds. A_x000D_ combination of respiratory disease, allergic dermatitis and other ailments so called Sick Building Syndrome (SBS) is associated with chronic exposure to formaldehyde. Therefore, monitoring for formaldehyde is important in residential buildings. In this Phase I_x000D_ dev ...

    SBIR Phase I 2017 Environmental Protection Agency
  5. An Inexpensive Hand-Held Monitor for Measuring Fugitive Methane Emissions

    SBC: REACTIVE INNOVATIONS, LLC            Topic: 16NCER1B

    Methane is the second most prevalent greenhouse gas emitted after carbon dioxide, however, on a pound-to-pound comparison methane has a 25 times greater impact on climate change than carbon dioxide over a 100-year period. Accordingly, the 2014 Climate Action Plan signed by President Obama has directed agencies including the USDA, DOE, and EPA to reduce methane emissions. A significant effort in th ...

    SBIR Phase I 2017 Environmental Protection Agency
  6. Nanostructured Carbon Based Capacitive Desalination

    SBC: VURONYX TECHNOLOGIES LLC            Topic: 16NCER4A

    Capacitive deionization (CDI) is a robust, energy efficient, and cost effective technology for water desalination. In collaboration with Dr. Satish Kumar and Dr. Costas Tsouris at Georgia Tech, we are developing nanostructured carbon material for effective and economical water and wastewater desalination. Our new approach for CDI is enabled by (1) synthesis of nanostructured high surface area acti ...

    SBIR Phase I 2017 Environmental Protection Agency
  7. 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
  8. 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
  9. 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
  10. 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
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