You are here

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 FY20 is not expected to be complete until September, 2021.

  1. Brain-Based Prediction of Influence Message Effectiveness (BB-PRIME)

    SBC: Charles River Analytics, Inc.            Topic: A12AT009

    Behavior change is a common objective across the Defense community. Recent studies suggest that neuroimaging can improve our ability to predict what messages are effective in changing behavior in individuals and at scale (Falk & Scholz, 2018). However, current neuroscience results have not established definitive causal relationships between specific types of messages and behavior change. In BB-PRI ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Natural Rubber Production

    SBC: Edison Agrosciences, Inc.            Topic: ST18C001

    Natural rubber is an essential manufacturing material that possesses performance properties that are superior to synthetic rubber for many product applications. However, natural rubber production is limited to a single species (rubber tree) in a limited geographic area (Southeast Asia) and is predicted to be incapable of meeting future demand. Producing rubber from another commercial crop such as ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  3. SWIFT ARROW STTR Phase 2

    SBC: Scientific Systems Company Inc.            Topic: OSD12AU3

    In Dense Urban Environments (DUEs), a new and evolving battlefield, the ability to detect and respond quickly to multiple threats in complex environments (e.g., snipers on rooftops or in windows) is critical and is extremely important to both civilian and military tactical needs. Response latency in the critical moments after the beginning of an attack can significantly increase casualties. SWIFT ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  4. Machine Learning-Based Capability for Radioactive Threat Detection and Identification

    SBC: Physical Sciences Inc.            Topic: DTRA162001

    Physical Sciences Inc. (PSI) proposes to develop advanced machine learning (ML) algorithms to perform detection, classification and identification of radioactive sources in near real time based on analysis of data generated by radiation sensors. The algorithms will be packaged as of an integrated Advanced Learning-Enabled Radioactive Threat Search (ALERTS) software suite compatible with new networ ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. Design Tools for Hardware Trojan Detection and Mitigation

    SBC: BlueRISC Inc            Topic: SB173004

    With the increasing complexity of the modern semiconductor supply chain and increasing prevalence of the fabless manufacturing model, the hardware security and design integrity of integrated circuits are threatened by untrusted components such as hardware Trojans. BlueRISC proposes an automated toolkit that utilizes existing Design-For-Testability (DFT) structures (e.g. scan-chains) to enable the ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. CrasHD: Semantics-Aware, Human-Assisted, Security-Critical Data Triage in COTS Application Crashes

    SBC: ZeroPoint Dynamics LLC            Topic: SB173003

    Over a decade ago, security practitioners highlighted threats posed by memory corruption exploits subverting systems through manipulation of security-critical non-control-data — without ever corrupting application control-flow. Since that demonstration, however, the full power of data-oriented attacks went largely unnoticed until very recently. One reason for this recent emergence is that exploi ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  7. Station-keeping using Perception and Relative Image-based Navigation and Tracking (SPRINT)

    SBC: Scientific Systems Company Inc.            Topic: ST18C006

    SSCI and MIT propose to perform initial design and testing of an innovative tightly-coupled vison and GNC system for follower vehicles to achieve safe approach and station-keeping with the lead vehicle within some range tolerance and inside a 60 degree cone, under leader maneuvers and vehicle capability constraints. The resulting system is referred to as the SPRINT (Station-keeping using Perceptio ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. Visual Algorithms for Navigation and Guidance of UAVs with Autonomous Relational Decisions (VANGUARD)

    SBC: Charles River Analytics, Inc.            Topic: ST18C006

    Unmanned systems play a critical role in military operations across a wide range of missions. The DoD’s Unmanned Systems Integrated Roadmap identifies leader-follower tactics, swarming capabilities, sensor advancements, collision avoidance, and GPS-denied solutions as key technologies to support autonomy. Advances in these areas are needed to support coordinated multi-aircraft maneuvers and swar ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  9. StampPump: a Postage-Stamp Sized Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Thermalin Inc.            Topic: ST18C004

    StampPump is a postage-stamp-sized (27x27x6 mm), fully-self-contained, closed-loop insulin patch pump system that is filled at the factory with enough insulin to treat a person with T1- or trauma-induced hyperglycemia for a full week. The device is shelf stable for at least 90 days and so is compatible with critical-care or forward deployment use. We propose to augment this system with the ability ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
  10. Building an Autonomous Glycemic Control System for Hyperglycemia of Critical Illness

    SBC: Beta Bionics, Inc.            Topic: ST18C004

    It is well established that hyperglycemia of critical illness, general glucose intolerance, and insulin resistance are common among critically ill patients, including those without a diagnosis of diabetes mellitus upon hospital admission. Such glycemic dysregulation has been linked to increased patient morbidity and mortality, and longer recovery times. Furthermore, tight glycemic control has been ...

    STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency
US Flag An Official Website of the United States Government