Group items tagged

The Hertz Fellowship provides financial and lifelong professional support for the nation's most promising graduate students in science and technology. The fellowship includes up to five years of funding, valued at up to $250,000, and the freedom to pursue innovative projects wherever they may lead. In addition, fellows take part in ongoing mentoring, symposia, and workshops with our vibrant community of more than 1200 fellows, a set of peers who span disciplines, generations, and geography.

The Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA) program aims to identify and engage rising stars in junior faculty positions in academia and equivalent positions at non-profit research institutions and expose them to Department of Defense (DoD) and National Security challenges and needs. In particular, YFA will provide high-impact funding to elite researchers early in their careers to develop innovative new research directions in the context of enabling transformative DoD capabilities. The long-term goal of the program is to develop the next generation of scientists and engineers in the research community who will focus a significant portion of their future careers on DoD and National Security issues. DARPA is particularly interested in identifying outstanding researchers who have previously not been performers on DARPA programs, but the program is open to all qualified applicants with innovative research ideas.

A key focus of the design of modern computing systems is performance and scalability, particularly in light of the limits of Moore's Law and Dennard scaling. To this end, systems are increasingly being implemented by composing heterogeneous computing components and continually changing memory systems as novel, performant hardware surfaces. Applications fueled by rapid strides in machine learning, data analysis, and extreme-scale simulation are becoming more domain-specific and highly distributed. In this scenario, traditional boundaries between hardware-oriented and software-oriented disciplines increasingly are blurred. Achieving scalability of systems and applications will therefore require coordinated progress in multiple disciplines such as computer architecture, high-performance computing (HPC), programming languages and compilers, security and privacy, systems, theory, and algorithms. Cross-cutting concerns such as performance (including, but not limited to, time, space, and communication resource usage and energy efficiency), correctness and accuracy (including, but not limited to, emerging techniques for program analysis, testing, debugging, probabilistic reasoning and inference, and verification), security and privacy, robustness and reliability, domain-specific design, and heterogeneity must be taken into account from the outset in all aspects of systems and application design and implementation.

The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to develop, deploy and integrate solutions that benefit the broader scientific community by securing science data, workflows, and infrastructure. CICI recognizes the unique nature of modern, rapid collaborative science and the breadth of security expertise, infrastructure and requirements among different practitioners, researchers, and scientific projects. CICI seeks projects in three program areas: Usable and Collaborative Security for Science (UCSS): Projects in this program area should support novel and applied security and usability research that facilitates scientific collaboration, encourages the adoption of security into the scientific workflow, and helps create a holistic, integrated security environment that spans the entire scientific CI ecosystem. Reference Scientific Security Datasets (RSSD):Projects in this program area should capture the unique properties of scientific workflows and workloads as reference data artifacts to support reproducible security research and protect the scientific process. Scientific Infrastructure Vulnerability Discovery (SIVD): Projects in this program area should develop and apply techniques to proactively discover vulnerabilities and weaknesses in scientific infrastructure.

The previous AccelNet solicitation (NSF 19-501) issued in 2019 called for international networks of networks addressing scientific grand challenges that require significant international research coordination, either aligned with one of NSF's 10 Big Ideas or community-identified grand challenges. This new solicitation clarifies definitions, budgetary information, and announces broader target areas, as well as changes to submission requirements.

The Data Science Corps is one of the components of the HDR ecosystem enabling education and workforce development by focusing on building capacity for harnessing the data revolution at the local, state, and national levels to help unleash the power of data in the service of science and society. The Data Science Corps will provide practical experiences, teach new skills, and offer learning opportunities in different settings. This solicitation prompts the community to envision creative educational pathways that will transform data science education and expand the data science talent pool by enabling the participation of undergraduate and Master's degree students with diverse backgrounds, experiences, skills, and technical maturity in the Data Science Corps. These activities are envisioned to be inherently collaborative, with a lead organization and one or more collaborating organizations.

DMREF will support activities that significantly accelerate materials discovery and development by building the fundamental knowledge base needed to advance the design and development of materials with desirable properties or functionality. This will be accomplished through forming interdisciplinary teams of researchers working synergistically in a "closed loop" fashion, building a vibrant research community, leveraging data science, providing ready access to materials data, and educating the future MGI workforce. Achieving this goal could involve some combination of: strategies to advance materials design through testing methodology; theory, modeling, and simulation to predict behavior or assist in analysis of multidimensional input data; and validation through synthesis, growth, processing, characterization, and/or device demonstration.

The COVID-19 Vaccine Challenge Series aims to find several digital solutions that will help ADB's developing member countries (DMCs) tackle a broad range of challenges as vaccines become available-from vaccine delivery and distribution, to public communication and education, to mobilization and monitoring of healthcare workers and volunteers, as well as safe and efficient administration of COVID-19 vaccines.

The Challenge Phase consists of four Challenge Topics that address specific unmet needs or concerns related to opioid use, abuse and exposure.  Click on the icons at the top of the page to learn more about each topic.

The Client is engaged in the development of high-throughput inspection systems for hazardous materials (explosives and/or illegal drugs), to be used at airports, etc. These inspection systems consist of a mechanism to collect particulate matters of explosives or drugs that are attached to inspection targets such as pieces of luggage or clothing, and a sensor to inspect the collected particulate matters. The development of a particulate matter collecting system has been completed, as has been the development of a high-speed, high-accuracy sensor for the detection mechanism. However, lower-cost sensors are needed for the development of less expensive versions of the system with priority given to the cost over the accuracy, intended for use in developing countries.

NineSigma, representing Ortho Baltic, invites proposals from qualified candidates in the fields of organic 3D shape recognition and the fields of artificial intelligence & machine learning suitable for dealing with organic 3D shapes. Selected candidates will participate in compensated consulting activities, with the potential for additional, long-term partnership opportunities in the future.

NineSigma, representing the Electric Power Research Institute (EPRI), invites proposals from organizations and companies for technologies and digital tools to provide real-time feedback from various sensory inputs for adaptive welding applications The ideal solution will collate and analyse data from the following inputs. Real-time imaging data from vision systems Real-time weld, groove and joint profile data from laser profiler Weld parameter data acquisition Acoustics and vibration (accelerometer) data analysis

NineSigma, representing the Japan International Cooperation Agency (JICA) ("Client"), seeks technologies and solutions to make effective use of tablet computers designed to aid rice production in Senegal. It is desirable that such a solution is applicable for use even where Internet connection is slow, and does not require technological expertise in information technology.  As it is currently planned, verification testing for this project will be conducted in cooperation with the National Company for the Development and Exploitation of the Senegal River Delta, Senegal River and Faleme Valley (SAED), which is an organization responsible for promoting the development of irrigated farming on the left bank of the Senegal River, and a JICA Technical Cooperation project that provides aid to SAED. If the technology is established following the demonstration, it may potentially be applied nationwide in Senegal, as well as across Africa.