This BAA's primary objective is to attract outstanding researchers and scholars who will investigate topics of interest to the defense acquisition community. The program solicits innovative proposals for defense acquisition management and policy research to be conducted for approximately a 12-month period during the September 2013 through May 2015 timeframe. In this BAA, the phrase "defense acquisition management and policy research" refers to investigations in all disciplines, fields, and domains that (1) are involved in the acquisition of products and/or services for national defense, or (2) could potentially be brought to bear to improve defense acquisition. These include but are not limited to economics, finance, financial management, information systems, organization theory, operations management, human resources management, and marketing, as well as the "traditional" acquisition areas such as contracting, program/project management, logistics, and systems engineering management. The proposed research must provide through the dissemination of findings in a final Technical Report a public benefit beyond the potential to improve the efficiency, quality, innovation, and/or cost of DoD and DoN acquisition programs. Findings, for instance, should also be potentially applicable to improving private-sector competitiveness or effectiveness.

NIST invites applications from eligible applicants to pilot on-line identity solutions for accessing government services that embrace and advance the NSTIC vision: that individuals and organizations utilize secure, efficient, easy-to-use, and interoperable identity credentials to access online services in a manner that promotes confidence, privacy, choice, and innovation. Specifically, the Federal government seeks to initiate and support pilots that address the needs of individuals, private sector organizations, and all levels of government in accordance with the NSTIC Guiding Principles that identity solutions will be (1) privacy-enhancing and voluntary, (2) secure and resilient, (3) interoperable, and (4) cost-effective and easy-to-use. NIST will fund projects that are intended to test or demonstrate the effectiveness of solutions for enabling individuals to better access government services that either do not exist or are not widely adopted in the marketplace today. To demonstrate that the solution meets the program's goals, NSTIC will be looking for the following characteristics in applications: i. At least two government programs, including state-administered human services programs, w

The ARI is a joint Domestic Nuclear Detection Office (DNDO) and National Science Foundation (NSF) program seeking novel cross-cutting research that will enhance the nation's ability to detect and interdict nuclear or radiological material outside of regulatory control, and otherwise help prevent nuclear or radiological attacks. This year's solicitation topics will encompass a range of subjects, with an emphasis on unconventional, multidisciplinary approaches to threat detection. A number of small to medium awards are intended in the areas of novel approaches to extremely low-cost threat detection, orthogonal and informatics approaches to threat detection, deterrence analytics, and advanced forensics techniques. A single large award is intended for an integrated, multidisciplinary approach to shielded special nuclear material detection. Primary objectives of the ARI include advancing fundamental knowledge in the above areas and developing intellectual capacity in scientific fields relevant to long-term advances in these areas. Proposals outside of the scope described in this solicitation will be returned without review. Research proposals specific to detection of biological, chemical, and conventional weapons are excluded from the scope of this solicitation, however approaches that consider explosives detection and nuclear or radiological materials detection are of interest.

The NIDCR-funded FaceBase Consortium (www.facebase.org) was established in 2009 to advance craniofacial research by creating comprehensive datasets on craniofacial development and dysmorphologies and disseminating them to the wider craniofacial research community. Operationally, the Consortium links individual spoke projects, each creating and contributing individual datasets, analytic tools, and other resources to a central data management and integration hub which, in turn, disseminates them publicly. This Funding Opportunity Announcement (FOA) solicits grant applications for the role of the FaceBase data management and integration hub. As the Consortiums public face, the hub is charged with the critical functions of collecting datasets and analytic tools developed by the spoke projects, curating and integrating those resources, and disseminating them to the wider research community through the FaceBase website. The hub is expected to work closely with the spoke projects in developing efficient processes for depositing and organizing data, to lead the Consortium in the development of sophisticated methodologies for searching and visualizing integrated FaceBase data, and to coordinate Consortium-wide activities such as working group and Steering Committee meetings, and the annual Consortium-wide meeting.

The Advanced Scientific Computing Research (ASCR) program of the Office of Science (SC), U.S. Department of Energy (DOE), hereby invites proposals for basic mathematical, statistical and computational research that significantly advances uncertainty quantification methodologies for enabling extreme-scale science. The purpose of this FOA is to invite proposals in ASCR Applied Mathematics basic research that significantly advance uncertainty quantification (UQ) methodologies as an enabling technology in extreme-scale scientific computing. UQ broadly refers to the end-to-end study of the accuracy, reliability, development and effective use of computational models in making scientific inferences. Mathematically rigorous UQ methodologies are essential to a wide range of DOE science and engineering applications in carrying out predictions, design optimization, decision making, or other high-level tasks. UQ relies on a broad range of applied mathematics and statistics research, along with algorithmic and computational developments, and subject matter expertise, to enable an appropriate level of confidence in the use of computational models for scientific investigations.

DARPA is soliciting innovative research proposals in the area of probabilistic programming languages and accompanying tools to facilitate the construction of new machine learning applications across a wide range of domains. See the full DARPA-BAA-13-31 PDF document attached for further details.

This FOA has two main objectives: 1) to conduct research on terabit data-aware network technologies and storage system management to address scientific Big Data infrastructure challenges, a nd 2) to explore innovative theoretical frameworks, network-aware data management concepts, and storage system performance optimization models that will improve our understanding of how complex heterogeneous massive data sets should be organized, stored, and shared.

DARPA is soliciting innovative research proposals in the area of cyber analysis. Proposed research should investigate innovative approaches that enable revolutionary advances in science, devices, or systems. Specifically excluded is research that primarily results in evolutionary improvements to the existing state of practice.   ICAS aims to make IT system information readily useful for attack forensics and tactical cyber defense by automatically integrating all device data and generating a complete, current picture of the enterprise. DARPA envisions an ICAS solution comprised of two principal elements: a connecting layer to enable federation of currently stovepiped IT system data sources, and tools for analyzing, visualizing, and reasoning over the ICAS federated database.

The first is intended to complement previous NSF investments in advanced computational infrastructure.  Consistent with the ACI Strategic Plan, the current solicitation is focused on expanding the use of high end resources to a much larger and more diverse community.   The second type is devoted to the increasing pressure on the existing infrastructure to store and process very large amounts of data coming from simulation and from experimental resources such as telescopes, genome data banks or sensors.

The Army Research Laboratory is in the process of developing a new initiative in the area of Cyber Security. The technical focus areas currently under consideration and peer review for this new initiative are: Risk Detection & Recognition Agility Psychosocial Effects The Psychosocial Effects focal area is intended to be crosscutting across multiple research domains. The Draft Program Announcement is expected to be released early 2013. Information regarding this program will be published on this webpage as it comes available.

The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling.

The Naval Facilities Command, through the Living Marine Resources applied science program (LMR), is soliciting pre-proposals for efforts related to any one of the six (6) themes listed below.  1. Data and Tools for the Assessment and Mitigation of Effects from Construction Noise (LMR N-0001-13).  2. Passive Acoustic Monitoring (PAM) Technology Demonstrations (LMR N-0006-13). 3. Behavioral Responses to Navy Sound Sources (LMR N-0011-13).  4. Hearing and Auditory System Information for Hearing-Based Risk Criteria (N-0012-13).  5. Demonstration and Evaluation of Platform-Independent Improvements to Automated Signal Processing of Passive Acoustic Monitoring (PAM) Data (LMR N0020-13).  6. Capability Development for Hearing Data Collection (LMR N0029-13).

World Community Grid invites public and not-for-profit organizations to apply to use its powerful grid technology at no cost for projects that benefit humanity. Grid technology enables researchers to access tremendous amounts of power, exceeding that of several supercomputers, to run complex computations and to accelerate the pace of their research. Research results must be made available to the global research community and will be made available on World Community Grid's web site. Research We Support World Community Grid supports research that is: Focused on solving problems to benefit humanity; Conducted by public or nonprofit organizations; Contributed to the public domain; and Accelerated by grid computing technology. Research projects that benefit from grid technology are those that perform computations that require millions of computer processing units (CPUs) and that can be divided into smaller independent computations.

Hacknovate, Health IT Competition 2013 The Healthcare IT competition aims to be a platform for inventors, scientists and entrepreneurs to showcase their talents on an international stage. By tackling real healthcare problems and needs, you can take your ideas to the next level. Win up to S$10,000 in prototyping grants, mentorships with healthcare professionals and business development opportunities!

The Communications, Circuits, and Sensing-Systems (CCSS) program is intended to spur visionary systems-oriented activities in collaborative, multidisciplinary, and integrative research. CCSS supports systems research in hardware, signal processing techniques, and architectures to enable the next generation of cyber-physical systems (CPS) that leverage computation, communication, and algorithms integrated with physical domains. CCSS offers new challenges at all levels of systems integration to address future societal needs. CCSS supports innovative research and integrated educational activities in micro- and nano-systems, communications systems, and cyber-physical systems. The goal is to design, develop, and implement new complex and hybrid systems at all scales, including nano, micro, and macro, that lead to innovative engineering principles and solutions for a variety of application domains including, but not limited to, healthcare, medicine, environmental monitoring, communications, disaster mitigation, homeland security, transportation, manufacturing, energy, and smart buildings. CCSS also supports integration technologies at both intra-and inter-chip levels, new and advanced radio frequency (RF), millimeter wave and optical wireless and hybrid communications systems architectures, and sensing and imaging at terahertz (THz) frequencies.

The ESA Foundation is dedicated to supporting positive programs and opportunities that make a difference in the lives of America's youth.  The Foundation seeks to harness the collective power of the interactive entertainment industry to create positive social impact in our communities.  We support geographically diverse projects and programs that benefit American boys and girls of all races and religions. 

The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems. Such solutions demand multidisciplinary teams ready to address technical, behavioral and clinical issues ranging from fundamental science to clinical practice.

The Research Experiences for Undergraduates (REU) program supports active research participation by undergraduate students in any of the areas of research funded by the National Science Foundation. REU projects involve students in meaningful ways in ongoing research programs or in research projects specifically designed for the REU program. This solicitation features two mechanisms for support of student research: (1) REU Sites are based on independent proposals to initiate and conduct projects that engage a number of students in research. REU Sites may be based in a single discipline or academic department or may offer interdisciplinary or multi-department research opportunities with a coherent intellectual theme. Proposals with an international dimension are welcome. (2) REU Supplements may be included as a component of proposals for new or renewal NSF grants or cooperative agreements or may be requested for ongoing NSF-funded research projects.

The Office of Planning Research and Evaluation (OPRE) within the Administration for Children and Families (ACF) in the Department of Health and Human Services (HHS) plans to invite applications to support the development, implementation, and ongoing operations of a Data Center to support family self-sufficiency research and activities (Center). This Center would serve as a hub to support the development of state and institutional capacity for data collection, linkage, and where necessary, storage in order to provide access to high quality data to practitioners and policymakers in family self-sufficiency programs and research. 

The SI2 program includes three classes of awards: 1. Scientific Software Elements (SSE): SSE awards target small groups that will create and deploy robust software elements for which there is a demonstrated need that will advance one or more significant areas of science and engineering. 2. Scientific Software Integration (SSI): SSI awards target larger, interdisciplinary teams organized around the development and application of common software infrastructure aimed at solving common research problems. SSI awards will result in a sustainable community software framework serving a diverse community. 3. Scientific Software Innovation Institutes (S2I2): S2I2 awards will focus on the establishment of long-term hubs of excellence in software infrastructure and technologies, which will serve a research community of substantial size and disciplinary breadth.