Group items tagged

The Cellular and Biochemical Engineering (CBE)program is part of the Engineering Biology and Health cluster, which also includes 1) Biophotonics; 2) Biosensing; 3) Disability and Rehabilitation Engineering; and 4) Engineering of Biomedical Systems. TheCellular and Biochemical Engineering program supports fundamental engineering research that advances understanding of cellular andbiomolecular processes in engineering biology. CBE-funded research eventually leads to the development of enabling technology for advanced biomanufacturing in support of the therapeutic cell, biochemical, biopharmaceutical, and biotechnology industries. Fundamental to many research projects in this area is the understanding of how biomolecules, subcellular systems, cells, and cell populations interact in the biomanufacturing environment, and how those interactions lead to changes in structure, function, and behavior. A quantitative treatment of problems related to biological processes is considered vital to successful research projects in the CBE program. The program encourages highly innovative and potentially transformative engineering research leading to novel bioprocessing and biomanufacturing approaches. The CBE program also encourages proposals that effectively integrate knowledge and practices from different disciplines while incorporating ongoing research into educational activities.

The Advanced Manufacturing (AM) program supports the fundamental research needed to revitalize American manufacturing to grow the national prosperity and workforce, and to reshape our strategic industries. The AM program accelerates advances in manufacturing technologies with emphasis on multidisciplinary research that fundamentally alters and transforms manufacturing capabilities, methods and practices. Advanced manufacturing research proposals should address issues related to national prosperity and security, and advancing knowledge to sustain global leadership. Areas of research, for example, include manufacturing systems; materials processing; manufacturing machines; methodologies; and manufacturing across the length scales. Researchers working in the areas of cybermanufacturing systems, manufacturing machines and equipment, materials engineering and processing, and nanomanufacturing are encouraged to transcend and cross domain boundaries. Interdisciplinary, convergent proposals are welcome that bring manufacturing to new application areas, and that incorporate challenges and approaches outside the customary manufacturing portfolio to broaden the impact of America's advanced manufacturing research. Proposals of all sizes will therefore be considered as justified by the project description. Investigators are encouraged to discuss their ideas with AM program directors well in advance of submission at AdvancedManufacturing@nsf.gov.

The Science of Learning program supports potentially transformative basic research to advance the science of learning. The goals of the SL Program are to develop basic theoretical insights and fundamental knowledge about learning principles, processes and constraints. Projects that are integrative and/or interdisciplinary may be especially valuable in moving basic understanding of learning forward but research with a single discipline or methodology is also appropriate if it addresses basic scientific questions in learning. The possibility of developing connections between proposed research and specific scientific, technological, educational, and workforce challenges will be considered as valuable broader impacts, but are not necessarily central to the intellectual merit of proposed research. The program will support research addressing learning in a wide range of domains at one or more levels of analysis including: molecular/cellular mechanisms; brain systems; cognitive affective, and behavioral processes; and social/cultural influences. The program supports a variety of methods including: experiments, field studies, surveys, secondary-data analyses, and modeling.

The Law & Science Program considers proposals that address social scientific studies of law and law-like systems of rules, as well as studies of how science and technology are applied in legal contexts. The Program is inherently interdisciplinary and multi-methodological. Successful proposals describe research that advances scientific theory and understanding of the connections between human behavior and law, legal institutions, or legal processes; or the interactions of law and basic sciences, including biology, computer and information sciences, STEM education, engineering, geosciences, and math and physical sciences. Scientific studies of law often approach law as dynamic, interacting with multiple arenas, and with the participation of multiple actors. Fields of study include many disciplines, and often address problems including, though not limited, to: Crime, Violence, and Policing Cyberspace Economic Issues Environmental Science Evidentiary Issues Forensic Science Governance and Courts Human Rights and Comparative Law Information Technology Legal and Ethical Issues related to Science Legal Decision Making Legal Mobilization and Conceptions of Justice Litigation and the Legal Profession Punishment and Corrections Regulation and Facilitation of Biotechnology (e.g., Gene Editing, Gene Testing, Synthetic Biology) and Other Emerging Sciences and Technologies Use of Science in the Legal Processes

Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in this solicitation, will support the development of small collaborative Institutes. Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process. All TRIPODS Institutes must involve significant and integral participation by all three of the aforementioned communities.

Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in this solicitation, will support the development of small collaborative Institutes. Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process. All TRIPODS Institutes must involve significant and integral participation by all three of the aforementioned communities.

As part of this mission, CCCD has issued a Request for Proposals for a new pilot grant initiative that aims to support the expanding definition of craft-based research and promote collaboration between the fields of craft, science, technology, engineering, and mathematics.   Through the Materials-Based Research Grant program, grants of up to $15,000 over eighteen months will be awarded to interdisciplinary teams of researchers to encourage mutually beneficial innovation in craft and STEM fields, with a focus on materials and process-based research. The teams should include one maker and one professional working in a STEM-based field (e.g., material science, manufacturing, environmental studies, medicine, structural engineering, etc.). This can include academics, researchers, scientists, full-time makers, or other skilled specialists.

As part of this mission, CCCD has issued a Request for Proposals for a new pilot grant initiative that aims to support the expanding definition of craft-based research and promote collaboration between the fields of craft, science, technology, engineering, and mathematics.   Through the Materials-Based Research Grant program, grants of up to $15,000 over eighteen months will be awarded to interdisciplinary teams of researchers to encourage mutually beneficial innovation in craft and STEM fields, with a focus on materials and process-based research. The teams should include one maker and one professional working in a STEM-based field (e.g., material science, manufacturing, environmental studies, medicine, structural engineering, etc.). This can include academics, researchers, scientists, full-time makers, or other skilled specialists.

The purpose of this BD2K Funding Opportunity Announcement (FOA) is to support the development, improvement and implementation of tools and approaches that increase the efficiency and effectiveness of digital curation processes used to characterize and describe the digital data used in or resulting from biomedical research.

The purpose of this BD2K Funding Opportunity Announcement (FOA) is to support the development, improvement and implementation of tools and approaches that increase the efficiency and effectiveness of digital curation processes used to characterize and describe the digital data used in or resulting from biomedical research.

Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in this solicitation, will support the development of small collaborative Institutes. Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process. All TRIPODSInstitutes must involve significant and integral participation by all three of the aforementioned communities.

Transdisciplinary Research In Principles Of Data Science (TRIPODS) aims to bring together the statistics, mathematics, and theoretical computer science communities to develop the theoretical foundations of data science through integrated research and training activities. Phase I, described in this solicitation, will support the development of small collaborative Institutes. Phase II (to be described in an anticipated future solicitation, subject to availability of funds) will support a smaller number of larger Institutes, selected from the Phase I Institutes via a second competitive proposal process. All TRIPODSInstitutes must involve significant and integral participation by all three of the aforementioned communities.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

The Ecology and Evolution of Infectious Diseases program supports research on the ecological, evolutionary, and socio-ecological principles and processes that influence the transmission dynamics of infectious diseases. The central theme of submitted projects must be quantitative or computational understanding of pathogen transmission dynamics. The intent is discovery of principles of infectious disease transmission and testing mathematical or computational models that elucidate infectious disease systems. Projects should be broad, interdisciplinary efforts that go beyond the scope of typical studies. They should focus on the determinants and interactions of transmission among humans, non-human animals, and/or plants. This includes, for example, the spread of pathogens; the influence of environmental factors such as climate; the population dynamics and genetics of reservoir species or hosts; the cultural, social, behavioral, and economic dimensions of disease transmission. Research may be on zoonotic, environmentally-borne, vector-borne, or enteric diseases of either terrestrial or freshwater systems and organisms, including diseases of animals and plants, at any scale from specific pathogens to inclusive environmental systems. Proposals for research on disease systems of public health concern to developing countries are strongly encouraged, as are disease systems of concern in agricultural systems. Investigators are encouraged to develop the appropriate multidisciplinary team, including for example, modelers, bioinformaticians, genomics researchers, social scientists, economists, epidemiologists, entomologists, parasitologists, microbiologists, bacteriologists, virologists, pathologists or veterinarians, with the goal of integrating knowledge across disciplines to enhance our ability to predict and control infectious diseases.

With this solicitation, NIJ seeks proposals for funding for technology research and development to develop:* New, innovative means to speed the processing of large-capacity digital media in a forensically sound manner that preserves the probative value of the evidence that the media may contain.* More efficient means to store the large volumes of information seized as digital evidence while preserving the probative value of that evidence.

The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will perform research to develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. This funding opportunity continues the BES commitment to the MGI and the development of open source codes that can take full advantage of today's petascale and future exascale leadership computing facilities.

The Office of Basic Energy Sciences (BES) of the U.S. Department of Energy (DOE) announces its interest in receiving applications in Computational Materials Sciences proposing integrated, multidisciplinary teams that will perform research to develop validated community codes and data bases for predictive design of functional materials, excluding structural materials. Computational Materials Sciences Teams could also involve new approaches to enhance the use of large data sets derived from advanced characterization of materials, materials synthesis, processing, and properties assessments and the parallel data that are generated by large scale computational efforts that model materials phenomena. Computational Materials Sciences will support the Materials Genome Initiative for Global Competitiveness (MGI) that was announced by the President in June 2011. The goal of the MGI is to reduce the time from discovery to deployment of new materials by a factor of two and is tied to advancement of American manufacturing capability. This funding opportunity continues the BES commitment to the MGI and the development of open source codes that can take full advantage of today's petascale and future exascale leadership computing facilities.

DARPA is soliciting innovative research proposals in the area of secure processing of untrusted electronic data. Proposed research should investigate innovative approaches that radically improve software's ability to recognize and safely reject invalid and maliciously crafted input data, while preserving essential functionality of legacy electronic data formats. Proposed research should build on an existing base of knowledge of electronic document, message, and streaming formats and the nature of security vulnerabilities associated with these formats.

The Communications, Circuits, and Sensing-Systems (CCSS) Program is intended to spur visionary systems-oriented activities in collaborative, multidisciplinary, and integrative engineering 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 supports innovative research and integrated educational activities in micro- and nano- electromechanical systems (MEMS/NEMS), communications and sensing systems, and cyber-physical systems. The goal is to design, develop, and implement new complex and hybrid systems at all scales, including nano and macro, that lead to innovative engineering principles and solutions for a variety of application domains including, but not limited to, healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent 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 Communications, Circuits, and Sensing-Systems (CCSS) Program is intended to spur visionary systems-oriented activities in collaborative, multidisciplinary, and integrative engineering 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 supports innovative research and integrated educational activities in micro- and nano- electromechanical systems (MEMS/NEMS), communications and sensing systems, and cyber-physical systems. The goal is to design, develop, and implement new complex and hybrid systems at all scales, including nano and macro, that lead to innovative engineering principles and solutions for a variety of application domains including, but not limited to, healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent 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.

New information technologies can be envisioned that are based on biological principles and that use biomaterials in the fabrication of devices and components; it is anticipated that these information technologies could enable stored data to be retained for more than 100 years and storage capacity to be 1,000 times greater than current capabilities. These could also facilitate compact computers that will operate with substantially lower power than today's computers. Research in support of these goals can have a significant impact on advanced information processing and storage technologies. This focused solicitation seeks high-risk/high-return interdisciplinary research on novel concepts and enabling technologies that will address the scientific issues and technological challenges associated with the underpinnings of synthetic biology integrated with semiconductor technology. This research will foster interactions among various disciplines including biology, engineering, physics, chemistry, materials science, computer science, and information science that will enable heretofore-unanticipated breakthroughs as well as meet educational goals.

WHO CAN APPLY? I-Corps@Ohio funds will be offered on a competitive basis to teams of faculty researchers and graduate students developing institution-based technologies from Ohio colleges and universities. Under the supervision of business and entrepreneurial mentors, teams will develop market-driven value propositions and scalable business models around their technologies and attract follow on funding to support company formation and market entry. APPLICATION PROCESS The I-Corps@Ohio proposal submission process consists of five steps: 1. mandatory meeting with the appropriate TTO representative(s) at the PI's institution; 2. team selection of technology track (science and engineering or medtech); 3. registration of all team members in the online portal; 4. proposal submission; and 5. full team interview with I-Corps@Ohio program representatives. All teams are required to complete the online profile and submission questionnaire beginning October 23, 2019. Deadline to apply is January 15, 2019. The PI may complete this information or designate another member of the team as the lead member. Subsequent members of the team will be invited to join by the lead member through the application portal and must complete his or her profile. Every effort should be made to identify all team members prior to submitting the online proposal submission questionnaire. Additional team members may be added later. You will be asked to select from two tracks: Medtech Track: Teams will select Medtech Track if the subject technology is in the form of medical devices, diagnostics, medicines, vaccines, software, testing procedures and systems and is developed to solve a health/clinical problem and improve the quality of human life. Science and Engineering (S&E) Track: Teams will select S&E Track if the technology does not fit into the Medtech category.

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 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.

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 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.