The EFRI Program aims to focus the engineering community on important emerging areas in a timely manner. EFRI evaluates, recommends, and funds interdisciplinary initiatives at the emerging frontiers of engineering research and innovation. These transformative opportunities may lead to: new research directions; new industries or capabilities that result in a leadership position for the country; and/or significant progress on a recognized national or societal need, or grand challenge. The EFRI Program is the signature activity of the Office of Emerging Frontiers and Multidisciplinary Activities (EFMA) in the Directorate for Engineering.
EFRI invests in high-risk multidisciplinary opportunities with high-potential payoff. Its role is to support research areas that would not fit within the scope of an existing program. These frontier ideas cannot be pursued by one researcher or within one field of expertise. They are "frontier" because they not only push the limits of knowledge of one field, but are actually at the convergence of multiple fields. The EFRI funding process is designed to both inspire and enable a group of researchers with diverse technical expertise to work together on a single frontier idea.
The Tribal Colleges and Universities Program (TCUP) provides awards to Tribal Colleges and Universities, Alaska Native-serving institutions, and Native Hawaiian-serving institutions to promote high quality science (including sociology, psychology, anthropology, economics, statistics, and other social and behavioral sciences as well as natural sciences), technology, engineering and mathematics (STEM) education, research, and outreach. Support is available to TCUP-eligible institutions (see the Additional Eligibility subsection of Section IV of this solicitation) for transformative capacity-building projects through Instructional Capacity Excellence in TCUP Institutions (ICE-TI), Targeted STEM Infusion Projects (TSIP), TCU Enterprise Advancement Centers (TEA Centers), and Preparing for TCUP Implementation (Pre-TI). Collaborations that involve multiple institutions of higher education led by TCUP institutions are supported through Partnerships for Geoscience Education (PAGE) and Partnerships for Documentary Linguistics Education (PADLE). Finally, research studies that further the scholarly activity of individual faculty members are supported through Small Grants for Research (SGR) and Science Education Alliance Phage Hunters Advancing Genomics and Evolutionary Science in Tribal Colleges and Universities (SEA-PHAGES in TCUs). Through the opportunities highlighted above, as well as collaborations with other National Science Foundation (NSF) units and other organizations, TCUP aims to increase Native individuals' participation in STEM careers and improve the quality of STEM programs at TCUP-eligible institutions. TCUP strongly encourages the inclusion of activities that will benefit veterans.
NSF's Directorate for Computer and Information Science and Engineering (CISE) initiated the National Network of Big Data Regional Innovation Hubs (BD Hubs) program in FY 2015 (NSF 15-562). Four Big Data Hubs (BD Hubs)Midwest, Northeast, South, and Westwere established, one in each of the four Census Regions of the United States[1]. The BD Hubs provide the ability to engage local or regional stakeholders, e.g., city, county, and state governments, local industry and non-profits, and regional academic institutions, in big data research, and permit a focus on regional issues. These collaborative activities and partnerships play a critical role in building and sustaining a successful national big data innovation ecosystem. This solicitation continues the operation of a national network of BD Hubs. It builds on demonstrated strengths of the program, which has grown to include a set of BD Spokes affiliated with the BD Hubs, and is responsive to the recent developments in data science. For instance, the recently released report on Data Science for Undergraduates: Opportunities and Options from the National Academies of Sciences, Engineering, and Medicine exemplifies the urgency of multi-faceted education and training in data science. The BD Hubs will continue to nucleate regional collaborations and multi-sector projects, while fostering innovation in data science. The NSF BD Hubs program is aligned with NSFs Harnessing the Data Revolution (HDR) Big Idea, one of NSFs 10 Big Ideas for Future Investment. HDR is a visionary, national-scale activity to enable new modes of data-driven discovery, allowing fundamentally new questions to be asked and answered in science and engineering frontiers, generating new knowledge and understanding, and accelerating discovery and innovation.
NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:
Foundations of data science;
Algorithms and systems for data science;
Data-intensive science and engineering;
Data cyberinfrastructure; and
Education and workforce development.
Each of these efforts is designed to amplify the intrinsically multidisciplinary nature of the emerging field of data science. The HDR Big Idea will establish theoretical, technical, and ethical frameworks that will be applied to tackle data-intensive problems in science and engineering, contributing to data-driven decision-making that impacts society.
Supported by the NIH Common Fund (Common Fund) Science of Behavior Change (SOBC) Program, this Funding Opportunity Announcement (FOA) solicits competitive revision (formerly known as a competitive supplement) applications to NIH-supported clinical trials awarded as research project R34 grants. The goal of the SOBC Program is to advance a mechanisms-focused, experimental medicine approach to behavior change research. Funded projects in the SOBC Research Network (https://commonfund.nih.gov/behaviorchange/fundedresearch) have developed experimental manipulations, assays, and/or measures (hereafter referred to as assays for brevity) to support an experimental medicine approach to behavior change research. The SOBC Measures Repository is accessible from the SOBC Research Network Open Science Framework (OSF) page at https://osf.io/zp7b4. The goal of this FOA is to accelerate the adaptation, validation, and translation of SOBC Research Network assays for use in ongoing clinical trials. This FOA calls for the integration of SOBC Research Network assays into active NIH-supported clinical trials of drugs, devices, procedures, or behavior modifications. As such, the active NIH-supported clinical trial used to respond to this FOA does not have to be a behavior change trial or identify behavior change as a primary outcome. The integration of SOBC Research Network assays into ongoing clinical trials will accelerate the development of interventions and experimental manipulations that have been shown to engage specific mechanisms of behavior change and the development of assays that verify engagement of those behavior change targets.
The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative is aimed at revolutionizing neuroscience through development and application of innovative technologies to map neural circuits, monitor and modulate their activity, and understand how they contribute to thoughts, sensations, emotions and behavior. NIH has issued a variety of Funding Opportunity Announcements (FOAs) that will support projects that apply technologies to understand neural circuit function in the context of specific circuits, resulting in a diverse portfolio of research into the fundamental biology of nervous system function.
The purpose of this announcement is to notify the research community that NIH welcomes BRAIN Initiative applications targeting central nervous system nociceptive and pain circuits, as appropriate to the goals and requirements of specific BRAIN Initiative FOAs. Pain conditions represent an important public health problem and NIH continues to support research into pain pathologies through normal Institute and Center appropriations. However, pain and nociception are also components of normal nervous system function, and the BRAIN Initiative is committed to understanding pain circuits along with brain circuits underlying other sensory, motor, cognitive and emotional functions. It is expected that the unique opportunities of the BRAIN Initiative will enable production of detailed maps of pain circuits, and the adoption of powerful new tools for monitoring and modulating pain circuit activity, leading to significant advances in the understanding of pain and nociception.
For a list of past and open BRAIN Initiative FOAs, see https://braininitiative.nih.gov/funding/.
The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this National Institute of Mental Health (NIMH) R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nations biomedical, behavioral and clinical research needs and advance the priorities outlined in the Office of AIDS Research (OAR) Annual Strategic Plan and the research program priorities of the NIMH Division of AIDS Research (DAR).
This notice is not a mechanism to fund existing NOAA awards. The purpose of this notice is to request applications for special projects and programs associated with NOAA's strategic plan and mission goals, as well as to provide the general public with information and guidelines on how NOAA will select applications and administer discretionary Federal assistance under this Broad Agency Announcement (BAA).
This Broad Agency Announcement is a mechanism to encourage research, education and outreach, innovative projects, or sponsorships that are not addressed through NOAA's competitive discretionary programs. This announcement is not soliciting goods or services for the direct benefit of NOAA. Funding for activities described in this notice is contingent upon the availability of Fiscal Year 2018, Fiscal Year 2019, and Fiscal Year 2020 appropriations. Applicants are hereby given notice that funds have not yet been appropriated for any activities described in this notice. Publication of this announcement does not oblige NOAA to review an application beyond an initial administrative review, or to award any specific project, or to obligate any available funds. In furtherance of this objective, NOAA issues this BAA for extramural research, innovative projects, and sponsorships (e.g., conferences, newsletters, etc.) that address one or more of the following four mission goal descriptions contained in the NOAA Strategic Plan:
1. Long-term mission goal: Climate Adaptation and Mitigation
2. Long-term mission goal: Weather-Ready Nation
3. Long-term mission goal: Healthy Oceans
4. Long-term mission goal: Resilient Coastal Communities and Economies
The purpose of this funding opportunity is to conduct activities to promote and support vaccination services within the pharmacy setting. Activities include, but are not limited to: - Education/Outreach to pharmacists about current pediatric, adolescent, and adult immunization recommendations and proper vaccine administration - Facilitation of communication and exchange of information between pharmacists and providers and public health programs -Quality Improvement efforts -Improved immunization documentation through use of immunization information systems and data sharing -Coordination with public health preparedness and immunization programs to establish formalized agreements for pandemic vaccine program readiness and response By the end of the project, the awardee is expected to disseminate and promote best practices/successes to a national audience of healthcare providers, including both pharmacists and other healthcare providers.
NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:
In 2016, the National Science Foundation (NSF) unveiled a set of "Big Ideas," 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our Nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. As such, when responding to this solicitation, even though proposals must be submitted to the Directorate for Computer & Information Science & Engineering/Division of Computing and Communication Foundations (CISE/CCF), once received, the proposals will be managed by a cross-disciplinary team of NSF Program Directors. NSF'sHarnessing the Data Revolution (HDR) Big Ideais a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:
Foundations of data science;
Algorithms and systems for data science;
Data-intensive science and engineering;
Data cyberinfrastructure; and
Education and workforce development.
Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects that aim to advance the frontiers of quantum information science and engineering. Research at these Institutes will span the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. The institutes are expected to foster multidisciplinary approaches to specific scientific, technological, educational workforce development goals in these fields. Two types of awards will be supported under this program: (i) 12-month Conceptualization Grants (CGs) to support teams envisioning subsequent Institute proposals and (ii) 5-year Challenge Institute (CI) awards to establish and operate Quantum Leap Challenge Institutes. This activity is part of the Quantum Leap, one of the research Big Ideas promoted by the National Science Foundation (NSF). The NSF Quantum Leap Challenge Institutes program is consistent with the scope of NSF multidisciplinary centers for quantum research and education as described in the National Quantum Initiative Act[1]. In 2016, the NSF unveiled a set of "Big Ideas," ten bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (seehttps://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique opportunities to position our nation at the cutting edge of global science and engineering leadership by bringing together diverse disciplinary perspectives to support convergence research. Although proposals responding to this solicitation must be submitted tothe Office of Multidisciplinary Activities (OMA) in the Directorate of Mathematical and Physical Sciences (MPS),they will subsequently be managed by a cross-disciplinary team of NSF Program Directors.
NSF's Harnessing the Data Revolution (HDR) Big Idea is a national-scale activity to enable new modes of data-driven discovery that will allow fundamental questions to be asked and answered at the frontiers of science and engineering. Through this NSF-wide activity, HDR will generate new knowledge and understanding, and accelerate discovery and innovation. The HDR vision is realized through an interrelated set of efforts in:
Foundations of data science;
Algorithms and systems for data science;
Data-intensive science and engineering;
Data cyberinfrastructure; and
Education and workforce development.
Each of these efforts is designed to amplify the intrinsically multidisciplinary nature of the emerging field of data science. The HDR Big Idea will establish theoretical, technical, and ethical frameworks that will be applied to tackle data-intensive problems in science and engineering, contributing to data-driven decision-making that impacts society.
The Department of Energy's (DOE) Office of Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications to explore of the suitability of various implementations of quantum computing hardware for science applications. This foundational research will facilitate the development of device architectures well-suited for scientific applications of quantum computing and improve our understanding of the advantages and limitations of various approaches to quantum computing for science applications. The purpose of this FOA is to invite applications for foundational research in the following two areas: 1. Exploring the relationship between device architecture and application performance 2. Developing meaningful metrics for evaluating the suitability of quantum computing hardware for science applications Applications may address one or both of these themes. Proposed research should focus on devices that are already available or that become available during the term of the award rather than large-scale, high-fidelity, fault-tolerant machines. Funded teams will be expected to collaborate externally with researchers working to develop applications and algorithms that can expand the frontiers of scientific discovery. Funded teams will also be expected to participate in community engagement activities that support the growth of an active, integrated research community committed to the common goal of developing quantum computing resources for advancing scientific discovery. Topics that are out of scope include: development and optimization of quantum algorithms; development of new candidate qubit systems; schemes based on qubits that have not yet demonstrated high-fidelity gates; schemes to improve the performance and functionality of qubits; quantum transduction; quantum communication, networking, and key distribution; cryptography and cryptanalysis; and logical qubits beyond considerations given to scaling to ~10 qubit devices.
Although invention and proof-of-concept testing of new technologies are a key component of the BRAIN Initiative, to achieve their potential these technologies must also be optimized through feedback from end-users in the context of the intended experimental use. This seeks applications for the optimization of existing and emerging technologies and approaches that have potential to address major challenges associated with recording and manipulating neural activity, at or near cellular resolution, at multiple spatial and temporal scales, in any region and throughout the entire depth of the brain. This FOA is intended for the iterative refinement of emergent technologies and approaches that have already demonstrated their transformative potential through initial proof-of-concept testing, and are appropriate for accelerated development of hardware and software while scaling manufacturing techniques towards sustainable, broad dissemination and user-friendly incorporation into regular neuroscience practice. Proposed technologies should be compatible with experiments in behaving animals, and should include advancements that enable or reduce major barriers to hypothesis-driven experiments. Technologies may engage diverse types of signaling beyond neuronal electrical activity for large-scale analysis, and may utilize any modality such as optical, electrical, magnetic, acoustic or genetic recording/manipulation. Applications that seek to integrate multiple approaches are encouraged. Applications are expected to integrate appropriate domains of expertise, including where appropriate biological, chemical and physical sciences, engineering, computational modeling and statistical analysis.
DMREF is the primary program by which NSF participates in the Materials Genome Initiative (MGI) for Global Competitiveness. MGI recognizes the importance of materials science and engineering to the well-being and advancement of society and aims to "deploy advanced materials at least twice as fast as possible today, at a fraction of the cost." MGI integrates materials discovery, development, property optimization, and systems design with a shared computational framework. This framework facilitates collaboration and coordination of research activities, analytical tools, experimental results, and critical evaluation in pursuit of the MGI goals. Consistent with theMGI Strategic Plan, DMREFhighlights four sets of goals: · Leading a culture shift in materials science and engineering research to encourage and facilitate an integrated team approach; · Integrating experimentation, computation, and theory and equipping the materials scienceand engineering communities with advanced tools and techniques; · Making digital data accessible, findable,and useful to the community; and · Creating a world-class materials science and engineering workforce that is trained for careers in academia or industry. Accordingly, DMREF will support activities that significantly accelerate materials discovery and/or development by building the fundamental knowledge base needed to design and make materials and/or devices with specific and desired functions or properties.
The Office of Citizen Exchanges, Professional Fellows Division, of the Bureau of Educational and Cultural Affairs (ECA or "the Bureau") invites proposal submissions for the FY 2018 TechWomen program to empower, connect, and support the next generation of women leaders in science, technology, engineering, and mathematics (STEM). The exchange program uses a mentorship model to support emerging STEM leaders from Sub-Saharan Africa, South and Central Asia, and the Middle East and North Africa. Organizations applying for this federal award should demonstrate the capacity to recruit, select, and place in mentorships a total of approximately 100-110 women from select countries in these regions to participate in a five- to six-week intensive peer-mentoring program in the United States. The mentoring experience should focus on advancing the status of professional women in the STEM fields through project-based peer mentorships, skill building, networking opportunities, and enhancement activities. Funding will also support follow-on activities in the participants' home countries that inspire and encourage girls and university-age women interested or working in STEM-based careers, engage young women using technology in their professions, and support former participants of the program ("alumnae"). Special emphasis should be placed on finding creative ways to involve alumnae in strengthening a network of female STEM professionals, building professional standards and capacity, and inspiring the next generation of girls interested in STEM careers by exposing them to female role models. Award applicants must exhibit their ability to manage all program logistics and overseas follow-on programming.
The purpose of NIDILRR's Disability and Rehabilitation Research Projects (DRRP), which are funded through the Disability and Rehabilitation Research Projects and Centers Program, is to plan and conduct research and dissemination and utilization activities to develop methods, procedures, and rehabilitation technology that maximize the full inclusion and integration into society, employment, independent living, family support, and economic and social self-sufficiency of individuals with disabilities, especially individuals with the most severe disabilities, and to improve the effectiveness of services authorized under the Rehabilitation Act of 1973, as amended (Rehabilitation Act). The purposes of this particular DRRP are to conduct rigorous research, development, technical assistance, dissemination, and utilization activities to increase successful technology transfer of rehabilitation technology products and devices developed by NIDRR-funded technology grantees.
Humanities Connections grants seek to expand the role of the humanities in the undergraduate curriculum at two- and four-year institutions, offering students in all academic fields new opportunities to develop the intellectual skills and habits of mind that the humanities cultivate. Grant projects focus on connecting the resources and perspectives of the humanities to students' broader educational and professional goals, regardless of their path of study. Through this new grant program, NEH invites proposals that reflect innovative and imaginative approaches to preparing students for their roles as engaged citizens and productive professionals in a rapidly changing and interdependent world. Grants support the development and implementation of an integrated set of courses and student engagement activities focusing on significant humanities content. A common topic, theme, or compelling issue or question must link the courses and activities. The linked courses (a minimum of three) may fulfill general education or core curriculum requirements but could also be designed primarily for students in a particular major or course of study. The Humanities Connections program gives special encouragement to projects that foster collaboration between humanities faculty and their counterparts in the social and natural sciences and pre-service or professional programs in business, engineering, health sciences, law, computer science, and other non-humanities fields.
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 andNetworks (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. Proposals for the EPCN program may involve collaborative research to capture the breadth of
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