OARS funding Engineering

DARPA is soliciting innovative research proposals for persistent, wide-area surveillance of small unmanned aerial systems (UASs) in urban terrain on a city-wide scale. Proposals are solicited for a scalable network of sensors on aerial platforms performing threat-agnostic UAS detection, classification, and tracking by looking over and into complex terrain.

DARPA is soliciting innovative research proposals for persistent, wide-area surveillance of small unmanned aerial systems (UASs) in urban terrain on a city-wide scale. Proposals are solicited for a scalable network of sensors on aerial platforms performing threat-agnostic UAS detection, classification, and tracking by looking over and into complex terrain.

Many nanofabrication techniques have demonstrated the ability to synthesize small quantities of nanomaterials and nanostructures for characterization and evaluation and simple nanodevices for analysis and testing purposes. The emphasis of the Scalable Nanomanufacturing for Integrated Systems (SNM-IS) solicitation is on research in new nano-scale manufacturing concepts and integration methods to realize complex integrated systems based on nanotechnology. The research will focus on overcoming the key scientific and engineering barriers that prevent the translation of laboratory-scale discoveries in nano-enabled integrated systems to an industrially relevant scale, reliably, affordably and within sustainability and environmental, health and safety (EHS) guidelines. The goal of the SNM-IS solicitation is to study and formulate the fundamental principles of scalable nanomanufacturing and integration for nanotechnology-based integrated systems towards the eventual manufacture of useful nano-enabled products.

Algorithms in the Field encourages closer collaboration between two groups of researchers: (i) theoretical computer science researchers, who focus on the design and analysis of provably efficient and provably accurate algorithms for various computational models; and (ii) other computing and information researchers including a combination of systems and domain experts (very broadly construed - including but not limited to researchers in computer architecture, programming languages and systems, computer networks, cyber-physical systems, cyber-human systems, machine learning, artificial intelligence and its applications, database and data analytics, etc.) who focus on the particular design constraints of applications and/or computing devices. Each proposal must have at least one co-PI interested in theoretical computer science and one interested in any of the other areas typically supported by CISE. Proposals are expected to address the dissemination of both the algorithmic contributions and the resulting applications, tools, languages, compilers, libraries, architectures, systems, data, etc.

The mission of the JPC-1/MSIS is to explore the implications of models and technology for medical education and for the provision, management, and support of health services in the military. The JPC-1/MSIS plans, coordinates, and oversees a responsive world-class, tri-Service science and technology program focused on two areas of research. The first area, Medical Simulation and Training, is focused on improving military medical training through medical modeling, simulation, and educational training tools. The second area, Health Informatics and Information Technologies, is focused on improving the use and sharing of health-related data for better strategic planning, process development, and software applications.

This National Aeronautics and Space Administration (NASA) Research Announcement (NRA) solicits ground-based research proposals from established researchers and graduate students to generate new scientific insights by utilizing experimental data residing in NASA's Physical Sciences Informatics (PSI) system (http://psi.nasa.gov), an online database of past and current physical science microgravity flight experiments conducted on the International Space Station (ISS) and the Space Shuttle.

The Scalable Parallelism in the Extreme (SPX) program aims to support research addressing the challenges of increasing performance in this modern era of parallel computing. This will require a collaborative effort among researchers in multiple areas, from services and applications down to micro-architecture. SPX encompasses all five NSCI Strategic Objectives, including supporting foundational research toward architecture and software approaches that drive performance improvements in the post-Moore's Law era; development and deployment of programmable, scalable, and reusable platforms in the national HPC and scientific cyberinfrastructure ecosystem; increased coherence of data analytic computing and modeling and simulation; and capable extreme-scale computing. Coordination with industrial efforts that pursue related goals are encouraged.

The SNM-IS solicitation seeks proposals that investigate novel scalable nanomanufacturing and integration methods for nano-enabled integrated systems with a clear commercial relevance. Proposals should consider addressing key aspects of the nanomanufacturing value chain comprised of nano-scale building-blocks → complex nanomaterials and nanostructures → functional components and devices → integrated sub-systems and systems

The NSF/Intel Partnership on Computer Assisted Programming for Heterogeneous Architectures (CAPA) aims to address the problem of effective software development for diverse hardware architectures through groundbreaking university research that will lead to a significant, measurable leap in software development productivity by partially or fully automating software development tasks that are currently performed by humans. The main research objectives for CAPA include programmer effectiveness, performance portability, and performance predictability. In order to address these objectives, CAPA seeks research proposals that explore (1) programming abstractions and/or methodologies that separate performance-related aspects of program design from how they are implemented; (2) program synthesis and machine learning approaches for automatic software construction that are demonstrably correct; (3) advanced hardware-based cost models and abstractions to support multi-target code generation and performance predictability for specified heterogeneous hardware architectures; and (4) integration of research results into principled software development practices.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. 

Morton Cure Paralysis Fund (MCPF) is committed to developing effective therapies (cures) for paralysis associated with spinal cord injury and other disorders of the central nervous system (CNS).  MCPF funds activities that hold promise of identifying therapies (cures) for paralysis in humans. MCPF has particular focus of placing projects in the research pipeline that is, enabling scientists to develop the proof concept data necessary to apply for larger NIH grants. MCPF has particular focus of placing projects in the research pipeline that is, enabling scientists to develop the proof concept data necessary to apply for larger NIH grants. The development of effective therapies for chronic injury is a high priority for the organization. Basic research will be supported if it has clear potential to accelerate progress at the applied end of the continuum and/or if it reflects innovative research or a 'change of direction.

NASA and the Sloan Foundation have agreed through a Space Act Agreement to work in parallel for a common purpose: to sponsor studies designed to provide insight into the microbiome of the built environment of the ISS that will advance our knowledge and understanding of human-built habitats on Earth, to enhance ISS utilization, and to inform the development of future space exploration vehicles that are occupied by humans. NASA is soliciting, through this Appendix, research applications for Postdoctoral Fellowships from early career scientists to design experiments that utilize a NASA collection of ISS microbial isolates collected over a decade or more to help understand better how microbial communities colonize, adapt, and evolve on the ISS. All proposals must propose experiments that utilize these microbial isolates collected from the ISS that have been archived at the Johnson Space Center. 

The Smart and Autonomous Systems (S&AS) program focuses on Intelligent Physical Systems (IPS) that are cognizant, taskable, reflective, ethical, and knowledge-rich. The S&AS program welcomes research on IPS that are aware of their capabilities and limitations, leading to long-term autonomy requiring minimal or no human operator intervention. Example IPS include, but are not limited to, robotic platforms and networked systems that combine computing, sensing, communication, and actuation. Cognizant IPS exhibit high-level awareness beyond primitive actions, in support of persistent and long-term autonomy. Taskable IPS can interpret high-level, possibly vague, instructions, translating them into concrete actions that are dependent on the particular context in which the IPS is operating. Reflective IPS can learn from their own experiences and those of other entities, such as other IPS or humans, and from instruction or observation; they may exhibit self-aware and self-optimizing capabilities. Ethical IPS should adhere to a system of societal and legal rules, taking those rules into account when making decisions. Knowledge-rich IPS employ a variety of representation and reasoning mechanisms, such as semantic, probabilistic and commonsense reasoning; are cognitively plausible; reason about uncertainty in decision making; and reason about the intentions of other entities in decision making.

The REM program supports the active involvement of research participants: high school students, STEM teachers, undergraduate STEM students, faculty, and veterans, in hands-on research in order to bring this rich research experience and contact with suitable STEM mentors into participants' lives. The main goals of the REM program are to provide research experiences and mentoring opportunities to STEM students and/or educators that may ultimately enhance their career and academic trajectories while enhancing EFRI-supported research. The REM program may also enable the building of long-term collaborative partnerships among EFRI-supported researchers, the NSF university research community, and local school districts.

The goal of this program is to detect, prevent, eradicate, and/or control invasive plant species to promote resiliency, watershed stability, and biological diversity on federal, state, or private land.

The purpose of the BRAIN Initiative Fellows (F32) program is to enhance the research training of promising postdoctorates, early in their postdoctoral training period, who have the potential to become productive investigators in research areas that will advance the goals of the BRAIN Initiative. Applications are encouraged in any research area that is aligned with the BRAIN Initiative, including neuroethics. Applicants are expected to propose research training in an area that complements their predoctoral research. Formal training in quantitative perspectives and analytical tools is expected to be an integral part of the proposed research training plan. In order to maximize the training potential of the F32 award, this program encourages applications from individuals who have not yet completed their terminal doctoral degree and who expect to do so within 12 months of the application due date. On the application due date, candidates may not have completed more than 6 months of postdoctoral training.  

Current research and education priorities of the foundation include support for early-career investigators (fellows and young faculty with less than five years post-fellowship training) and support for the development of innovative approaches to the delivery of medical toxicology education to healthcare providers and the lay public.

The Simons Foundation's Mathematics and Physical Sciences division invites applications for Collaboration Grants for Mathematicians to stimulate collaboration in the field primarily through the funding of travel and related expenditures. The goal of the program is to support the "mathematical marketplace" by substantially increasing collaborative contacts between mathematicians. The foundation will make a large number of collaboration grants to accomplished, active researchers in the United States who do not otherwise have access to funding that supports travel and visitors.

This announcement solicits applications for two (2) separate competitions, HRSA-17-013 Autism Field-Initiated Innovative Research Studies and HRSA-17-014 Autism Longitudinal Data Project.  The purpose of the Autism Field-Initiated Innovative Research Studies and the Autism Longitudinal Data Project competitions are to support the conduct of empirical research that advances the evidence base on interventions to improve the health and wellbeing of children and adolescents with autism spectrum disorders (ASD), with a special focus on addressing the needs of underserved populations.  These competitions will address the critical need that exists for research on the barriers to screening, diagnosis, and receipt of evidence-based interventions.

The National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) requests applications for the NIAMS Core Centers for Clinical Research (CCCR) (P30) within its mission. The CCCRs will provide avenues to advance the methodological sciences that support clinical research within and across the NIAMS' portfolio of diseases. The overall goals of the CCCR are to advance prevention, diagnosis and treatment of musculoskeletal, rheumatologic, and skin diseases by developing and fostering the implementation of novel methods, metrics, and outcome measures that address critical existing and emerging clinical research needs. 

The NIJ Graduate Research Fellowship (GRF) program in Social and Behavioral Sciences is open to doctoral students in all social and behavioral science disciplines. This program provides awards to accredited academic institutions to support graduate research leading to doctoral degrees in areas that are relevant to ensuring public safety, preventing and controlling crime, and ensuring the fair and impartial administration of criminal justice in the United States. NIJ invests in doctoral education by supporting academic institutions that sponsor students who demonstrate the potential to successfully complete doctoral degree programs in disciplines relevant to the mission of NIJ and who are in the final stages of graduate study. Applicants sponsoring doctoral students are eligible to apply only (1) if the doctoral student'‚ƒƒ™s degree program is a Social and Behavioral Science discipline and (2) if the student's proposed dissertation research has direct implications for criminal justice policy and practice in the United States.