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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. STability and Resilience Analysis Technology for Urban Systems analysis (STRATUS)

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: ST17C003

    The unique scale, population density, complexity, and connectedness of megacities requires new tools for detecting and assessing risks related to civil unrest, rule of law, terrorism, and other sources of instability, and for understanding the underlying dynamics. In addition, gray zone operations pose a new and strategically important class of threats to the stability of nation states and cities ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  2. REsilience & Stability In DENse Terrains (RESIDENT)

    SBC: Boston Fusion Corp.            Topic: ST17C003

    Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematical models of u ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Multiplexed Biofiltration of Volatile Organic Compounds

    SBC: WARNER BABCOCK INSTITUTE FOR GREEN CHEMISTRY LLC            Topic: ST16C001

    Volatile organic compounds (VOCs) in air, especially in closed environments pose a major health threat. There is a critical need to remove these pollutant, and biofiltration is a promising solution to this need. This is a Phase II STTR proposal is to develop a novel, modular and scalableapproach to biofiltration for effective management of air pollutants in closed environments. We propose a novel, ...

    STTR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
  4. High efficiency VOC biofiltration using microencapsulated organisms

    SBC: Nano Terra, Inc.            Topic: ST16C001

    Effective management of air quality in closed environments is important for the health and performance of military personnel. High concentrations of volatile organic compounds (VOCs) including aromatics, halocarbons, and aldehydes are present in spacecraft and submarines. Traditional approaches to treat VOCs based on catalytic oxidation or photooxidation are costly, bulky, and not effective at low ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  5. Multiplexed Biofiltration of Volatile Organic Compounds

    SBC: WARNER BABCOCK INSTITUTE FOR GREEN CHEMISTRY LLC            Topic: ST16C001

    Volatile organic compounds (VOCs) in air, especially in closed environments pose a major health threat. There is a critical need to remove these pollutant, and biofiltration is a promising solution to this need. This is a Phase I STTR proposal to develop...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  6. Automation Support using non-Invasive Measures of Operator Vocalization (ASIMOV)

    SBC: Charles River Analytics, Inc.            Topic: ST16C003

    Human-machine teams are increasingly prevalent across the DoD. These teams unite human operators with advanced automated teammates to execute complex, mission-critical tasks. Unfortunately, this collaboration between automated and human teammates can increase operator strain, because operators must complete their own tasks while also monitoring teammates and distributing tasks; one specific strain ...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  7. Group Dynamics Modeling, Forecasting, and Validation

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: ST12B002

    Building on our prior research in group discovery and tracking, we propose to develop new algorithms for predicting future behaviors of social media groups. These algorithms will be based on emerging social interaction theories and new computational models of group dynamics at multiple levels, from individual roles and interactions to aggregate trends within and across groups. Our approach takes a ...

    STTR Phase II 2017 Department of DefenseDefense Advanced Research Projects Agency
  8. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing the development of an analog co-processor to accelerate computation of partial differential equations (PDEs) prevalent in scientific simulation. Examples include Navier-Stokes equations for computational fluid dynamics (CFD) an...

    STTR Phase II 2017 Department of DefenseDefense Advanced Research Projects Agency
  9. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing design of a memristor-CMOS co-processor to implement analog Discrete Fourier Transforms (DFTs). The analog co-processor invokes spectral methods to solve a class of linear and non-linear partial differential equations (PDEs) arising in the scientific simulation of complex systems. Current PDE solution methods are inefficient and often intractable due to limitations assoc ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  10. Context-driven Active-sensing for Repair Tasks II (CART II)

    SBC: Dynamic Object Language Labs, Inc.            Topic: ST14B003

    Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency

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