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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Effects-Based Counter Terrorism Operations

    SBC: DEUMBRA, INC.            Topic: N/A

    The objective of this Phase I effort is to apply concepts in social network analysis to support effects-based plan development at the strategic level for counter-terrorist operations. We will exploit Dr. John Lemmer's CAT (Causal Analysis Tool) tosupport plan assessment. Mr John Beyerle, an EBO expert and Mr. Craig Robinson, a 20 year decorated DIA senior counter-intelligence analyst shall serv ...

    SBIR Phase I 2003 Department of DefenseAir Force
  2. Advanced Information Understanding Algorithms to Detect Counter-Terrorist Activity in Support of Total Force Protection

    SBC: DEUMBRA, INC.            Topic: N/A

    In this proposal 21st Century Technologies will (1) conceptually combine multiple social network patterns to provide greater visibility and a deeper understanding of anomalous and possibly terrorist behaviors to support force protection (2) implementthese combined constructs into an social network pattern library usable for military security analysts and (3) integrate the library into TMODS. ...

    SBIR Phase I 2003 Department of DefenseAir Force
  3. Scalable Heterogeneous Social Network Analysis

    SBC: DEUMBRA, INC.            Topic: N/A

    21st Century Technologies and Mr. Valdis Krebs, a social network expert , will (1) combine multiple social network patterns to provide visibility and situational awareness of anomalous and potentially terrorist behaviors (2) implement these combinedpatterns into an social network pattern library and (3) integrate the library into TMODS. 21st Century Technologies', TMODS, (Terrorist Modus Oper ...

    SBIR Phase I 2003 Department of DefenseDefense Advanced Research Projects Agency
  4. GREAT: Graph-based Rapid Extraction and Analysis Tool

    SBC: DEUMBRA, INC.            Topic: N/A

    GREAT, Graph-based Extraction and Analytical Tool will enable teams of subject matter experts (SMEs) to author knowledge bases directly and easily without knowledge engineers serving as intermediaries. 21st Century Technologies and BBN Technologies shalldemonstrate rapid knowledge formation of complex problem solving patterns and concepts using graph pattern matching technology to increase the spe ...

    SBIR Phase I 2003 Department of DefenseArmy
  5. Graph Matching Intrusion Detection for the Insider Threat

    SBC: DEUMBRA, INC.            Topic: N/A

    We propose the Graph Matching Intrusion Detection (GMID) system, a novel approach to detecting insider and coordinated insider-outsider threats based on our algorithms for solving the subgraph isomorphism (graph matching) problem. GMID performs datafusion on information from dense sensor networks inside and outside the secured system to build a graph representation of network topology, user activ ...

    SBIR Phase I 2003 Department of DefenseArmy
  6. Future Theater Distribution System (FTDS)

    SBC: DEUMBRA, INC.            Topic: N/A

    The Future Combat System is drawing from the Operation and Organization Plan and Operational Requirements Document a concept of having a 72 combat pulse, with rotation of the combat elements back to the MSS for resupply and rest before rotating back intoanother 72 pulse. During the combat pulse, there would three periods of intense activity, separated by lulls. These lulls, called maintenance pu ...

    SBIR Phase I 2003 Department of DefenseArmy
  7. Graph Matching and Metrics Intrusion Detection System (GMIDS)

    SBC: DEUMBRA, INC.            Topic: N/A

    The Graph Matching and Metrics Intrusion Detection System (GMIDS) is a novel approach to detecting insider and coordinated insider-outsider threats. GMIDS is based on our proven algorithms for graph-based pattern matching, social network analysis, linkanalysis, and statistical pattern recognition. GMIDS performs data fusion on information from dense sensor networks inside and outside the secured ...

    SBIR Phase II 2003 Department of DefenseArmy
  8. Information Fusion System for Counter-Terrorism Operations

    SBC: DEUMBRA, INC.            Topic: N/A

    In this Phase I SBIR , we shall demonstrate, the Integrated Fusion Dashboard, a system that can fuse uncertainties from multi-source data sets using two distinct detection mechanisms. To ensure that the fused product makes sense to the counter-terrorismanalyst, we are pleased to have Mr. Craig Robinson, a decorated and retired 30 year veteran of the DIA to evaluate the results 21st Century Te ...

    SBIR Phase I 2003 Department of DefenseNavy
  9. SiC/HT-9 MMC Composite Tubes for Fuel Cladding

    SBC: Accelerator Technology Corporation            Topic: N/A

    73043S03-I The cladding of fuel rods for Gen IV nuclear reactors must operate under extremely harsh conditions: high temperature (up to 1000 C in some designs), radiation damage from both fast and thermal neutrons, and attack by corrosive liquids (sodium and lead in some designs). The properties of the materials used today for fuel cladding significantly limit the design options and performance ...

    SBIR Phase I 2003 Department of Energy
  10. Extrusion of Tin Hole in Subelements for Internal-Tin Nb3Sn Superconductor

    SBC: Accelerator Technology Corporation            Topic: N/A

    73042S03-I Nb3Sn superconductor is a key enabling technology that will determine the feasibility of high-energy hadron colliders for high energy physics research. However, the cost of Nb3Sn superconductor is ten times higher than that of other superconductors. The high cost comes not from materials, but from the necessity to fabricate the multi-filament wire in small batches. Batch size is lim ...

    SBIR Phase I 2003 Department of Energy
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