Displaying all 127 funding opportunities ($3,808,565,000) that matched your search: [Only Active Grants] AND [CFDA: 47.070 - Computer and Information Science and Engineering] AND [Sort By Due Date Soonest First]
Government is a major collector and provider of data and information, provider of information-based services and user of information technologies. The research goals of the Digital Government Program are to support: 1) multi-disciplinary and multi-sector partnerships of researchers in information technologies and government agencies at all levels in order to foster collaboration among societal sectors, and 2) research on the relationships between the design and use of information technologies on : i) forms, processes, and outcomes of democracy, ii) government organizational forms, learning, and adaptation, iii) new forms of government-government collaboration, iv) citizen/government interaction, and v) other social/political science research related to IT and government. Academic/government collaborations are expected to contribute to government strategic planning for information technologies and services (external and internal) while providing interesting and unique new research problems and data sets for the academic research community.
CAREER: The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of the early career-development activities of those teacher-scholars who most effectively integrate research and education within the context of the mission of their organization. Such activities should build a firm foundation for a lifetime of integrated contributions to research and education. NSF encourages submission of CAREER proposals from junior faculty members at all CAREER eligible organizations and especially encourages women, members of underrepresented minority groups, and persons with disabilities to apply. PECASE: Each year NSF selects nominees for the Presidential Early Career Awards for Scientists and Engineers (PECASE) from among the most meritorious new CAREER awardees. The PECASE program recognizes outstanding scientists and engineers who, early in their careers, show exceptional potential for leadership at the frontiers of knowledge. This Presidential Award is the highest honor bestowed by the United States Government on scientists and engineers beginning their independent careers.
The Research in Undergraduate Institutions (RUI) activity supports research by faculty members of predominantly undergraduate institutions through the funding of (1) individual and collaborative research projects, (2) the purchase of shared-use research instrumentation, and (3) Research Opportunity Awards for work with NSF-supported investigators at other institutions. All NSF directorates participate in the RUI activity. RUI proposals are evaluated and funded by the NSF programs in the disciplinary areas of the proposed research. Eligible "predominantly undergraduate" institutions include U.S. two-year, four-year, masters-level, and small doctoral colleges and universities that (1) grant baccalaureate degrees in NSF-supported fields, or provide programs of instruction for students pursuing such degrees with institutional transfers (e.g., two-year schools), (2) have undergraduate enrollment exceeding graduate enrollment, and (3) award an average of no more than 10 Ph.D. or D.Sc. degrees per year in all NSF-supportable disciplines. Autonomous campuses in a system are considered independently, although they may be submitting their proposals through a central office. A Research Opportunity Award is usually funded as a supplement to the NSF grant of the host researcher, and the application is submitted by the host institution.
The pursuit of new scientific and engineering knowledge and its use in service to society requires the talent, perspectives and insight that can only be assured by increasing diversity in the science, engineering and technological workforce. Despite advances made in the proportion of women choosing to pursue science and engineering careers, women continue to be significantly underrepresented in almost all science and engineering fields, constituting only approximately 25% of the science and engineering workforce at large, and less than 21% of science and engineering faculty in 4-year colleges and universities. Women from minority groups underrepresented in science and engineering constitute only about 2% of science and engineering faculty in 4-year colleges and universities. The goal of the ADVANCE program is to increase the representation and advancement of women in academic science and engineering careers, thereby contributing to the development of a more diverse science and engineering workforce. Creative strategies to realize this goal are sought from men and women. Members of underrepresented minority groups and individuals with disabilities are especially encouraged to apply. Proposals that address the participation and advancement of women from underrepresented minority groups are encouraged. In 2005-2006, this program will support the following types of ADVANCE Projects: Institutional Transformation Awards support academic institutional transformation to promote the increased participation and advancement of women scientists and engineers in academe. These awards support innovative and comprehensive programs for institution-wide change. (Deadline July 22, 2005) Leadership Awards support the efforts of individuals, small groups, or organizations in developing national and/or discipline-specific leadership in enabling the full participation and advancement of women in academic science and engineering careers. (Deadline July 15, 2005) Partnerships for ...
The Human and Social Dynamics (HSD) priority area fosters breakthroughs in understanding the dynamics of human action and development, as well as knowledge about organizational, cultural, and societal adaptation and change. HSD aims to increase our collective ability to (1) anticipate the complex consequences of change; (2) understand the dynamics of human and social behavior at all levels, including that of the human mind; (3) understand the cognitive and social structures that create, define, and result from change; and (4) manage profound or rapid change, and make decisions in the face of changing risks and uncertainty. Accomplishing these goals requires multidisciplinary research teams and comprehensive, interdisciplinary approaches across the sciences, engineering, education, and humanities, as appropriate. The FY 2006 competition will include three emphasis areas (Agents of Change; Dynamics of Human Behavior; and Decision Making, Risk and Uncertainty). Support will be provided for Full Research projects and for shorter-term Exploratory Research and HSD Research Community Development projects.
The Human and Social Dynamics (HSD) priority area fosters breakthroughs in understanding the dynamics of human action and development, as well as knowledge about organizational, cultural, and societal adaptation and change. HSD aims to increase our collective ability to (1) understand the complexities of change; (2) understand the dynamics of human and social behavior at all levels, including that of the human mind; (3) understand the cognitive and social structures that create, define, and result from change; and (4) manage profound or rapid change, and make decisions in the face of changing risks and uncertainty. Accomplishing these goals requires multidisciplinary research teams and comprehensive, interdisciplinary approaches across the sciences, engineering, education, and humanities, as appropriate. The FY 2007 competition will include three emphasis areas (Agents of Change; Dynamics of Human Behavior; and Decision Making, Risk and Uncertainty). Support will be provided for Full Research projects and for shorter-term Exploratory Research and HSD Research Community Development projects. NSF encourages HSD projects that provide insight into social processes such as globalization and migration and factors that promote innovation, at levels from the molecular functioning of the human brain to the organizational. Such research is important for enhancing the ability of the country to maintain its competitive edge in a globalized world.
Computers reside at the heart of systems on which people heavily rely. From critical national infrastructures to personal computing devices, these systems are expected to work, and work as intended. Unfortunately, many of these systems are vulnerable to malicious acts that can inhibit operation, corrupt valuable data or expose private information. In fact, the news is replete with stories of vulnerabilities that were exploited for ill. Future advances in computing promise many substantial benefits for society and individuals; yet unless trust in computing can be instilled, assured, and verified, these benefits are at risk. The NSF Cyber Trust (CT) program promotes a vision of a society in which people can justifiably rely on: * computer systems to perform critical functions securely; * computer systems to process, store and communicate sensitive information securely; and, * a diverse, well-trained workforce able to use, develop, configure, modify and operate computer-based systems. To achieve the CT vision and simultaneously improve the Nation?s cybersecurity posture, CT will support a portfolio of projects that: * contribute to the cybersecurity knowledge base and advance cybersecurity technologies; * address trustworthiness at all levels of system design, implementation and use; * consider the social, economic, organizational and legal factors influencing the successful adoption of new cybersecurity approaches and technologies; and, * build national education and workforce capacity, addressing undergraduate, graduate, and faculty development and training. Proposals funded will cover a broad range of disciplines contributing to the CT vision. Three types of CT projects will be supported: * Exploratory Research projects; * Single Investigator or Small Group projects; and, * Team projects. All awards made are subject to the requirements of P.L. 107-305, the Cyber Security Research and Development Act.
NSF?s Networking Technology and Systems (NeTS) program solicits proposals from the networking research and education community, encouraging investigators to make bold assumptions about the future of networking. The scope of the program covers all properties of information networks including network architecture, protocols, algorithms, and proof of concept implementation of hardware and software. Research activities include creation of new network architectures, modeling of phenomena, network design, analysis, measurement, and performance evaluation. The research scope of the program spans many types of networks that include end-to-end complex wide-area networks and sub-networks including local area networks, ad hoc networks, sensor networks, vehicular networks, and optical networks. It also includes research on heterogeneous networks that are hybrids of two or more types of sub-networks. NeTS proposals may be submitted in one of the four programmatic areas defined below: I. Future INternet Design (FIND): Projects will explore revolutionary architectures to develop the "Future Internet" and will address requirements such as core functionalities, security, robustness, openness, economic utility, and social needs as well as support for new technologies and services. II. Networking of Sensor Systems (NOSS): Projects will investigate promising architectures, tools, algorithms and systems that support critical and emerging applications and make it easy to assemble and configure networks of sensor systems. III. Wireless Networks (WN): Projects will address issues pertaining to the phenomena of radio communications, mobility, location, and the limited power supplies of portable information devices. IV. Networking Broadly Defined (NBD): Projects will span a wide range of topical areas in networking, including both theoretical and experimental research that expands our understanding of large, complex, heterogeneous networks, design of access and core networks based on ...
The Science of Design (SoD) Program at NSF solicits proposals for projects that will bring creative, scientific advances to the design of software artifacts and systems. Design is a topic of great interest in many fields; the goal of the SoD Program is to advance design research and education to meet the critical software design challenges of the 21st century. The objective of the program is to bring new paradigms, concepts, approaches, models, and theories into the development of a strong intellectual foundation for software design, which will ultimately improve the processes of constructing, evaluating, and modifying software-intensive systems. This body of knowledge needs to be intellectually rigorous, formalized where appropriate, supported by empirical evidence where possible, open to creative, artistic expression, and above all, teachable. Future software-intensive systems will be vastly different from those in use today. Revolutionary advances in hardware, networking, and human interface technologies will require entirely new ways of thinking about how software systems are conceptualized, built, understood, and evaluated. As we envision the future of complex distributed computing environments, innovative research is needed to provide the scientific foundations for managing issues of complexity, quality, cost, and human intellectual control of software design and development. To these ends, importing and adapting ideas from other design fields (engineering, biology, architecture, economics, and the arts, for example) are encouraged. Similarly, it is critical that software design researchers work across different areas within computer science to insure that design includes the interdependencies of software with other systems artifacts, such as complex data structures and data repositories. Thus, continuations of current lines of research or research to incrementally extend current software design methods are unlikely to be competitive in this solicitation. ...
Computer systems are ubiquitous, and society is increasingly dependent on them. They range from microprocessors embedded in automobiles and appliances, to worldwide grids of advanced processors, storage, graphics devices, and instruments interconnected by high-speed networks. Computer systems include large amounts of systems software. Systems software has two main roles: to provide abstractions and services that facilitate the implementation and execution of application programs; and, to orchestrate effective use of the underlying hardware resources through these abstractions and services. Computer systems are being applied to increasingly demanding applications. The environments in which they function and the resource configurations to be orchestrated are becoming more diverse, distributed and dynamic. While the time scales for control decisions are shrinking, the scale and complexity of the systems are increasing. The assumptions underlying current system software no longer hold in many cases. Moreover, current computer systems often fail, become compromised or perform poorly because of failures of system software. Responding to these challenges requires new directions in computer systems research. The Computer Systems Research (CSR) program supports innovative research and education projects that have the potential to: lead to significant improvements in computer systems by increasing our fundamental understanding of them; address challenges raised by new technologies or system requirements; lead to systems software that is quantifiably more reliable, easier to use, and/or more efficient; and produce innovative curricula or educational materials that better prepare the next generation of computing professionals. The CSR program also supports projects that expand the capabilities of computer systems by exploiting the potential of new technologies or by developing innovative new ways to use existing technologies. CSR-funded projects will strive to make significant
The Major Research Instrumentation Program (MRI) is designed to increase access to scientific and engineering equipment for research and research training in our Nation's organizations of higher education, research museums and non-profit research organizations. This program seeks to improve the quality and expand the scope of research and research training in science and engineering, and to foster the integration of research and education by providing instrumentation for research-intensive learning environments. The MRI program encourages the development and acquisition of research instrumentation for shared inter- and/or intra-organizational use and in concert with private sector partners. The MRI program assists in the acquisition or development of major research instrumentation by organizations that is, in general, too costly for support through other NSF programs. Proposals may be for a single instrument, a large system of instruments, or multiple instruments that share a common or specific research focus.
Grant Opportunities for Academic Liaison with Industry (GOALI) aims to synergize university-industry partnerships by making project funds or fellowships/traineeships available to support an eclectic mix of industry-university linkages. Special interest is focused on affording the opportunity for: * Faculty, postdoctoral fellows, and students to conduct research and gain experience in an industrial setting; * Industrial scientists and engineers to bring industry's perspective and integrative skills to academe; and * Interdisciplinary university-industry teams to conduct research projects. This solicitation targets high-risk/high-gain research with a focus on fundamental topics, new approaches to solving generic problems, development of innovative collaborative industry-university educational programs, and direct transfer of new knowledge between academe and industry. GOALI seeks to fund research that lies beyond that which industry would normally fund by themselves.
The EMT program seeks to advance the fundamental capabilities of computer and information sciences and engineering by capitalizing on advances and insights from areas such as biological systems, quantum phenomena, nanoscale science and engineering, and other novel computing concepts. To bring fundamental changes to software, hardware and architectural design aspects of future computing models, collaborations among computer scientists, engineers, mathematicians, biologists and other disciplinary scientists are imperative. Research of interest should move beyond evolutionary technological advances to innovations that enable fundamentally different ways of computing. These innovations should promise much higher speeds/chip densities or should solve more complex problems than traditional approaches currently permit. The EMT program supports cross- and inter-disciplinary research and education projects that explore ideas, theory and experiments which go beyond conventional wisdom and venture into a range of uncharted territories in order to advance computing capabilities, and/or that produce innovative curricula or educational materials to help advance the training of new experts in emerging computing models and technologies. Explicit efforts will be made to support untested theories and approaches that provide plausible but high-risk opportunities. Proposals that are not clearly collaborative and/or interdisciplinary in nature are likely to be less competitive.
One of the defining features of the new CISE organization is the introduction of clusters; cohesive units formed by combining several (partial) programs that share a common theme and/or have significant overlap. The TF cluster is broadly concerned with problems of information processing that fall within the extremes of purely theoretical studies and applications within disciplines. Research and education projects sponsored by the cluster bring advanced capabilities from computer science, scientific computing, communication theory, signal processing theory, numerical/geometrical/symbolic modeling/analysis and optimization theories and techniques, mathematics, and application areas to bear on fundamental problems throughout science and engineering. The TF cluster encompasses the research areas covered by the former programs: communications research, numeric symbolic graphic computation, signal processing, and theory of computing. For the foreseeable future, TF will continue to encourage the submission of proposals from the research communities that were served formerly by these programs. The cluster also encourages investigators to include in their proposals innovative curricula or educational materials to help advance the training of new experts in the cognate areas served by TF.
In FY 2007, NSF will invest in leading edge, frontier research on sensors and other areas, including social and behavioral sciences, that are potentially relevant to the prediction and detection of explosives and related threats. This is an NSF-wide effort, in coordination with the efforts of other agencies, which seeks to advance fundamental knowledge in new technologies for sensors and sensor networks, and in the use of sensor data in control and decision making, particularly in relation to the prediction and detection of explosives and related threats. This research is seen as critical to our nation's ability to deploy effective homeland security measures, and to protect civilians and our military forces throughout the world. Proposals outside of the scope described in this solicitation will be returned without review. Research on prediction and detection of biological, toxic chemical, and nuclear weapons is excluded from the scope of this solicitation.
This solicitation describes the opportunities available for support through the Foundation’s Mathematical Sciences Priority Area in the following category: Interactions between Mathematical Sciences and Computer Sciences (MSPA-MCS) Investments in the MSPA-MCS program aim to deepen support of collaborative research in fundamental mathematics and statistics, and computer science with a focus primarily on mathematical and statistical challenges posed by large data sets, managing and modeling uncertainty, and modeling complex nonlinear systems.
The Industry/University Cooperative Research Centers (I/UCRCs) program develops long-term partnerships among industry, academe, and government. The centers are catalyzed by a small investment from the National Science Foundation (NSF) and are primarily supported by industry center members, with NSF taking a supporting role in their development and evolution. Each center is established to conduct research that is of interest to both the industry and the center. An I/UCRC contributes to the Nation's research infrastructure base and enhances the intellectual capacity of the engineering and science workforce through the integration of research and education.
A flood of new information, from whole-genome sequences to detailed structural information to inventories of earth's biota, is transforming 21st century biology. Along with comparative data on morphology, fossils, development, behavior, and interactions of all forms of life on earth, these new data streams make even more critical the need for an organizing framework for information retrieval, analysis, and prediction. Phylogeny, the genealogical map for all lineages of life on earth, provides an overall framework to facilitate information retrieval and biological prediction. Currently, single investigators or small teams of researchers are studying the evolutionary pathways of heredity usually concentrating on phylogenetic groups of modest size. Assembly of a framework phylogeny, or Tree of Life, for all 1.7 million described species requires a greatly magnified effort by large teams working across institutions and disciplines. This is the overall goal of the Assembling the Tree of Life activity. The National Science Foundation announces its intention to continue support of multidisciplinary teams to conduct creative and innovative research that will resolve phylogenetic relationships for large groups of organisms on the Tree of Life. Teams of investigators also will be supported for projects in data acquisition, analysis, algorithm development and dissemination in computational phylogenetics and phyloinformatics.
The Integrative Graduate Education and Research Traineeship (IGERT) program has been developed to meet the challenges of educating U.S. Ph.D. scientists and engineers who will pursue careers in research and education, with the interdisciplinary backgrounds, deep knowledge in chosen disciplines, and technical, professional, and personal skills to become, in their own careers, leaders and creative agents for change. The program is intended to catalyze a cultural change in graduate education, for students, faculty, and institutions, by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries. It is also intended to facilitate diversity in student participation and preparation, and to contribute to a world-class, broadly inclusive, and globally engaged science and engineering workforce.
The Ethics Education in Science and Engineering (EESE) program considers proposals for research and educational projects to improve ethics education in all of the fields of science and engineering that NSF supports, including in interdisciplinary or inter-institutional contexts. Proposals must focus on improving ethics education for graduate students in those fields, or on developing summer post-baccalaureate ethics education activities or activities that transition students from undergraduate to graduate education. The program will entertain proposals in graduate ethics education in science and engineering generally, but is particularly interested in proposals addressing issues involving the international or global context and those addressing issues of intellectual property, including scientific publishing.
