Group items matching

in title, tags, annotations or url

With the support of the Air Force Research Laboratory, Indiana University is hosting a forum for the U.S. Air Force and its Research community to learn about innovative science ideas that have the potential to fulfill the goals of the USAF 2030 Initiative. We are reaching across six regional states to draw together faculty, Research staff, and technology transfer personnel from institutions of higher education, along with industry Research and development professionals. We seek to engage Air Force leadership around cutting-edge Research ideas to apply toward the goals of the Air Superiority 2030 Flight Plan.

The Civil Infrastructure Systems (CIS) program supports fundamental and innovative research in the design, operation and management of civil infrastructure that contributes to creating smart, sustainable and resilient communities at local, national and international scales. This program focuses on civil infrastructure as a system in which interactions between spatially- and functionally- distributed components and intersystem connections exist. All critical civil infrastructure systems are of interest, including transportation, power, water, pipelines and others. The CIS program encourages potentially disruptive ideas that will open new frontiers and significantly broaden and transform relevant research communities. The program particularly welcomes research that addresses novel system and service design, system integration, big data analytics, and socio-technological-infrastructure connections. The program values diverse theoretical, scientific, mathematical, or computational contributions from a broad set of disciplines. While component-level, subject-matter knowledge may be crucial in many research efforts, the program does not support research with a primary contribution pertaining to individual infrastructure components such as materials, sensor technology, extreme event analysis, human factors, climate modeling, structural, geotechnical, hydrologic or environmental engineering.

A. Noam Chomsky Global Connections Awards celebrate the power of human connections. The awards recognize distinguished service to the global mission of the STAR Scholars Network. Several individuals with a deep impact on advancing global, social mobility are recognized every year. We live in a time when innovation and creativity in support of humanity are of great importance. The Star Scholars Network recognizes the commitment of concerned people able and willing to make a difference in the lives of others. Nominations for this award are solicited from around the world. The nominee can be from any field. Beginning in 2020, the Star Scholars Network is committed to promoting transnational research, or collaborative research between scholars of two or more countries (e.g., joint publications, research partnerships, etc.). The Global Connections Awards recognize STAR Scholars for their achievements and distinctive contributions to translational research that demonstrates the very best of scholarly collaboration among scholars around the world. In December 2020, the Star Scholars Network will provide awards in three categories: North Star Medal of Lifetime Achievement, Shining Star Achievement in research Award, Rising Star Emerging Scholar Certificate

The JSMF Scholar Awards program supports high-quality research and scholarship leading to the generation of new knowledge and its responsible application, with an emphasis on furthering the science of complex systems through the continued development of the theory and tools used in the study of complex research questions (as opposed to particular fields of research per se). Priority will be given to projects that attempt to apply complex systems approaches to coherently articulated questions.

The JSMF Scholar Awards program supports high-quality research and scholarship leading to the generation of new knowledge and its responsible application, with an emphasis on furthering the science of complex systems through the continued development of the theory and tools used in the study of complex research questions (as opposed to particular fields of research per se). Priority will be given to projects that attempt to apply complex systems approaches to coherently articulated questions.

DARPA is soliciting innovative research proposals in the area of very low frequency (VLF) positioning systems. 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.

DARPA is soliciting innovative research proposals in the area of very low frequency (VLF) positioning systems. 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.

Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.

Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.

Increasingly, data- and compute-intensive research and education efforts are benefiting from access to cloud computing platforms, which provide robust, agile, reliable, and scalable infrastructure. To better support this growing use of cloud computing resources, the National Science Foundation's (NSF) Directorate for Computer and Information Science and Engineering (CISE) seeks to fund an entity that can serve as a principal interface between the CISE research and education community and public cloud computing providers. Through this solicitation, NSF will support an entity that will have multiple responsibilities, including: 1) establishing partnerships with the various public cloud computing providers; 2) assisting NSF in allocating cloud computing resources to qualifying CISE-funded projects; 3) managing cloud computing accounts and resources allocated to individual CISE projects; 4) providing user training and other support to CISE researchers and educators using cloud computing in their work; and 5) providing strategic technical guidance for CISE researchers and educators interested in using public cloud computing platforms.

The 711th Human Performance Wing intends to solicit White Papers under this announcement for Aerospace Medicine, Clinical Research, Human Performance Research, and Expeditionary Medicine for innovative and state-of-the-art Research to enhance the following fields of En Route Care, Expeditionary Medicine, Force Health Protection, Human Performance and Systems Integration, and Operational Medicine.

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.

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 Dynamics, Control and Systems Diagnostics (DCSD) program supports fundamental research on the analysis, measurement, monitoring and control of dynamic systems, including development of new analytical, computational and experimental tools, and novel applications to engineered and natural systems. Dynamics is the science of systems that change in time. Control concerns the use of external influences to produce desired dynamic behaviors. Systems diagnostics concerns the use of observation to infer information about a dynamic system. Objectives of the DCSD program are the discovery of new phenomena and the investigation of innovative methods and applications in dynamics, control and diagnostics. The intellectual merit of proposals submitted to the DCSD program will be evaluated on the basis of fundamental innovation in foundational areas of dynamics and control, and on the potential for transformative impact within and across disciplinary boundaries. Proposals submitted to the DCSD program should be aligned with the disciplinary thrusts of the CMMI division. For example, innovative research that primarily concerns electromagnetic or chemical phenomena should be directed to the ECCS or CBET divisions. To ensure that a project is appropriate for the DCSD program, PIs are very strongly encouraged to email a project summary of approximately 250 words to the DCSD Program Directors prior to the full submission. The DCSD Program does not fund fundamental research relating to sensing modalities or sensor development. Proposals offering fundamental research on sensing modalities should be submitted to the Communications, Circuits and Sensing Systems (CCSS) program or the Electronics, Photonics, and Magnetic Devices (EPMD) program in the ECCS Division.

The goal of the CPS program is to develop the core system science needed to engineer complex cyber-physical systems that people can use or interact with and depend upon. Some of these may require high-confidence or provable behaviors. The program aims to foster a research community committed to advancing research and education in CPS and to transitioning CPS science and technology into engineering practice. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application sectors. To expedite and accelerate the realization of cyber-physical systems in a wide range of applications, the CPS program also supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. We have also seen a convergence of CPS technologies and research thrusts that underpin Smart & Connected Communities (S&CC) and the Internet of Things (IoT). These domains offer new and exciting challenges for foundational research and provide opportunities for maturation at multiple time horizons.

The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains. The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show compelling science or engineering challenges that require petascale computing resources. Proposers must also be prepared to demonstrate that they have science or engineering research problems that require and can effectively exploit the petascale computing capabilities offered by Blue Waters. Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.

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.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative Research proposals in the area of processes and technology for assembly of systems, components, and materials at millimeter scale or larger from nanometer scale constituents. 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.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative Research proposals in the area of mathematical systems of representation and analysis as applied to complex phenomena. 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.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative Research proposals in the area of processes and technology for assembly of systems, components, and materials at millimeter scale or larger from nanometer scale constituents. 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. See attached DARPA-BAA-14-56.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative Research proposals in the area of mathematical systems of representation and analysis as applied to complex phenomena. 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.

The Department of Defense (DoD) announces the Fiscal Year 2015 Defense University Research Instrumentation Program (DURIP), a part of the University Research Initiative (URI). DURIP is designed to improve the capabilities of U.S. institutions of higher education to conduct Research and to educate scientists and engineers in areas important to national defense, by providing funds for the acquisition of Research equipment.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative Research proposals in the area of program obfuscation. 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. For further details see attached PDF DARPA-BAA-14-65 SafeWare.