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Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. 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 FOA 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. Also listed under R01

The National Science Foundation's (NSF's) Directorates for Computer & Information Science & Engineering (CISE) and Mathematical & Physical Sciences (MPS) recently launched the Transdisciplinary Research in Principles of Data Science (TRIPODS) Phase I program with the goal of promoting long-term, interdisciplinary research and training activities that engage theoretical computer scientists, statisticians, and mathematicians in developing the theoretical foundations of data science. Twelve TRIPODS Phase I Institutes were established in FY17 (see https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888). The Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X) solicitation seeks to expand the scope of the TRIPODS program beyond the foundations community by engaging researchers across other NSF disciplines and the TRIPODS research teams in collaborative activities. TRIPODS + X projects will foster relationships between researchers in science & engineering domains and foundational data scientists by leveraging existing NSF investments in the TRIPODS organizations. Working in concert with a TRIPODS organization, a TRIPODS + X project would focus on data-driven research challenges motivated by applications in one or more science and engineering domains or other activities aimed at building robust data science communities.

With this publication, HUD is making available up to $5,000,000 for Planning Grants, including Planning and Action Grants.1. Planning Grants are two-year grants that assist communities with severely distressed public or HUD-assisted housing in developing a successful neighborhood transformation plan and building the support necessary for that plan to be successfully implemented.2. Planning and Action Grants are three and a half year planning grants that pair planning with action. Experience shows that tangible actions taken early on help communities build momentum for further planning and the eventual transition from planning to implementation of that plan. These actions improve neighborhood confidence, which in turn sustains the community’s energy, attracts more engagement and resources, and helps convince skeptical stakeholders that positive change is possible. Under these grants, the planning process activities would take place during the first 24 months of the grant period. The planning process will identify Action Activities that will be carried out during the latter portion of the grant period. Action Activities must build upon the planning for the target housing and neighborhood.

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.

The National Science Foundation's (NSF's) Directorates for Computer & Information Science & Engineering (CISE) and Mathematical & Physical Sciences (MPS) recently launched the Transdisciplinary Research in Principles of Data Science (TRIPODS) Phase I program with the goal of promoting long-term, interdisciplinary research and training activities that engage theoretical computer scientists, statisticians, and mathematicians in developing the theoretical foundations of data science. Twelve TRIPODS Phase I Institutes were established in FY17 (see https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888). The Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X) solicitation seeks to expand the scope of the TRIPODS program beyond the foundations community by engaging researchers across other NSF disciplines and the TRIPODS research teams in collaborative activities. TRIPODS + X projects will foster relationships between researchers in science & engineering domains and foundational data scientists by leveraging existing NSF investments in the TRIPODS organizations. Working in concert with a TRIPODS organization, a TRIPODS + X project would focus on data-driven research challenges motivated by applications in one or more science and engineering domains or other activities aimed at building robust data science communities.

The National Science Foundation's (NSF’s) Directorates for Computer & Information Science & Engineering (CISE) and Mathematical & Physical Sciences (MPS) recently launched the Transdisciplinary Research in Principles of Data Science (TRIPODS) Phase Iprogram with the goal of promoting long-term, interdisciplinary research and training activities that engage theoretical computer scientists, statisticians, and mathematicians in developing the theoretical foundations of data science. Twelve TRIPODS Phase I Institutes were established in FY17 (see https://www.nsf.gov/news/news_summ.jsp?cntn_id=242888). The Partnerships between Science and Engineering Fields and the NSF TRIPODS Institutes (TRIPODS + X) solicitation seeks to expand the scope of the TRIPODS program beyond the foundations community by engaging researchers across other NSF disciplines and the TRIPODS research teams in collaborative activities. TRIPODS + X projects will foster relationships between researchers in science & engineering domains and foundational data scientists by leveraging existing NSF investments in the TRIPODS organizations. Working in concert with a TRIPODS organization, a TRIPODS + X project would focus on data-driven research challenges motivated by applications in one or more science and engineering domains or other activities aimed at building robust data science communities.

NSF invites proposals to establish a Navigating the New Arctic Community Office (NNA-CO). Launched in 2016, NNA has been building a growing portfolio of research and planning grants at the intersection of the built, social, and natural environments to improve understanding of Arctic change and its local and global effects. Each NNA-funded project is responsible for its own performance, including its core research and broader impacts. However, an NNA community office is required to coordinate the activities of funded NNA projects; engage new PIs; and promote research, education, and outreach activities. The NNA-CO will also provide centralized representation of ongoing NNA activities to the broader scientific community and the public. The lead PI of the successful NNA-CO proposal will serve as the Office Director and will work with the research community to develop and implement appropriate communication networks and support for investigators, stakeholders, and research teams pursuing NNA research. NNA research is inherently convergent, seeking new knowledge at the intersection of the natural, built, and social environments. NNA research also inherently involves diverse stakeholders, from local to international. The NNA-CO will need to demonstrate the ability to work with these types of research teams and audiences.

The goal of the RCN program is to advance a field or create new directions in research or education by supporting groups of investigators to communicate and coordinate their research, training and educational activities across disciplinary, organizational, geographic and international boundaries. The RCN program provides opportunities to foster new collaborations, including international partnerships, and address interdisciplinary topics. Innovative ideas for implementing novel networking strategies, collaborative technologies, training, broadening participation, and development of community standards for data and meta-data are especially encouraged. RCN awards are not meant to support existing networks; nor are they meant to support the activities of established collaborations RCN awards also do not support primary research. Rather, the RCN program supports the means by which investigators can share information and ideas, coordinate ongoing or planned research activities, foster synthesis and new collaborations, develop community standards, and in other ways advance science and education through communication and sharing of ideas.

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. This solicitation describes one or more Ideas Lab(s) on Data-Intensive Research in Science and Engineering (DIRSE) as part of the HDR Institutes activity. These Ideas Labs represent one path of a conceptualization phase aimed at developing Institutes as part of the NSF investment in the HDR Big Idea.

NineSigma, commissioned by Tokyo Electric Power Company Holdings, Inc., seeks technologies to remotely collect sandbags of zeolites and activated carbon containing high-dose radioactive materials that are found in various areas on the underground levels and in stagnant water at the Fukushima No.1 Nuclear Power Plant (1F). Specifically, the Client seeks technologies to 1) collect zeolites / activated carbon at different locations on the underground levels and in stagnant water; 2) move the zeolites / activated carbon that have been collected on the underground levels to an above-ground level; and 3) temporarily store them after collection (e.g., dehydration, storage in containers, solidification). For each type of technologies 1)-3), it will be necessary that it can be operated remotely without requiring human workers on the spot.

The mission of ARPA-E is to identify and fund research to translate science into breakthrough energy technologies that are too risky for the private sector and that, if successfully developed, will create the foundation for entirely new industries. Successful projects will address at least one of ARPA-E?s two Mission Areas: 1. Enhance the economic and energy security of the United States through the development of energy technologies that result in: a. reductions of imports of energy from foreign sources; b. reductions of energy-related emissions, including greenhouse gases; and c. improvement in the energy efficiency of all economic sectors; and 2. Ensure that the United States maintains a technological lead in developing and deploying advanced energy technologies. This program seeks to support fund the development of bioconversion technologies that transform our ability to convert methane into liquid fuels. Of interest are biological routes to improve the rates and energy efficiencies of methane activation and subsequent fuel synthesis, as well as approaches to engineer high-productivity methane conversion processes. Within this program, three technical categories are considered: (1) high-efficiency biological methane activation, (2) high-efficiency biological synthesis of liquid fuels, and (3) process intensification approaches for biological methane conversion. The potential impacts of this FOA includes increasing the economic and energy security of the nation through production of low-cost, liquid transportation fuels with lower emissions than petroleum-based fuels.

The Broadening Participation in Engineering (BPE) Program is a Directorate-wide activity to support the development of a diverse and well-prepared workforce of engineering graduates, particularly those with advanced degrees. A central theme of the program's activities is enhancing the ability of early career faculty members, particularly those from underrepresented groups, to succeed in their careers as researchers and educators. The Broadening Participation in Engineering Program supports projects to engage and develop diverse teams that can offer unique perspectives and insights to challenges in engineering research and education.

The Environmental Engineering program supports fundamental research and educational activities across the broad field of environmental engineering. The goal of this program is to encourage transformative research which applies scientific and engineering principles to avoid or minimize solid, liquid, and gaseous discharges, resulting from human activity, into land, inland and coastal waters, and air, while promoting resource and energy conservation and recovery. The program also fosters cutting-edge scientific research for identifying, evaluating, and monitoring the waste assimilative capacity of the natural environment and for removing or reducing contaminants from polluted air, water, and soils.

NIST is soliciting proposals for financial assistance from eligible applicants to support basic research, in a consortium-based setting, focused on the long-term research needs of industry in the area of future computing and information processing. There is a critical need for scientific and engineering advances in novel computing paradigms with long-term impact on the semiconductor, electronics, computing, and defense industries. The proposed activities should advance the physical and materials aspects of future computing technologies with a focus on alternatives that provide low latency, low energy per operation, improved data/communication bandwidth, and higher clock speed. Activities should include innovative research in devices, circuits, architectures, metrology or characterization to enable future computing paradigms. Applicants should create mechanisms for extended collaboration with NIST researchers.

The goal of the Environmental Engineering program is tosupport transformative research which applies scientific and engineering principles to avoid or minimize solid, liquid, and gaseous discharges, resulting from human activities on land, inland and coastal waters, and air, while promoting resource and energy conservation and recovery. The program also fosters cutting-edge scientific research for identifying, evaluating, and monitoring the waste assimilative capacity of the natural environment and for removing or reducing contaminants from polluted air, water, and soils. Any proposal investigating sensors, materials or devices that does not integrate these products with an environmental engineering activity or area of research may be returned without review. Major areas of interest include: Enhancing the availability of high quality water supplies: Development of innovative biological, chemical and physical treatment processes to meet the growing demand for water; investigation of processes that remove and degrade contaminants, remediate contaminated soil and groundwater, and convert wastewaters into water suitable for reuse; investigation of environmental engineering aspects of urban watersheds, reservoirs, estuaries and storm water management; investigation of biogeochemical and transport processes driving water quality in the aquatic and subsurface environment.

NIST is soliciting proposals for financial assistance from eligible applicants to support basic research, in a consortium-based setting, focused on the long-term research needs of industry in the area of future computing and information processing. There is a critical need for scientific and engineering advances in novel computing paradigms with long-term impact on the semiconductor, electronics, computing, and defense industries. The proposed activities should advance the physical and materials aspects of future computing technologies with a focus on alternatives that provide low latency, low energy per operation, improved data/communication bandwidth, and higher clock speed. Activities should include innovative research in devices, circuits, architectures, metrology or characterization to enable future computing paradigms. Applicants should create mechanisms for extended collaboration with NIST researchers.

This program supports fundamental scientific research in ceramics (e.g., oxides, carbides, nitrides and borides), glass-ceramics, inorganic glasses, ceramic-based composites and inorganic carbon-based materials. Projects should be centered on experiments; inclusion of computational and theory components are encouraged. The objective of the program is to increase fundamental understanding and to develop predictive capabilities for relating synthesis, processing, and microstructure of these materials to their properties and ultimate performance in various environments and applications. Research to enhance or enable the discovery or creation of new ceramic materials is welcome. Development of new experimental techniques or novel approaches to carry out projects is encouraged. Topics supported include basic processes and mechanisms associated with nucleation and growth of thin films; bulk crystal growth; phase transformations and equilibria; morphology; surface modification; corrosion, interfaces and grain boundary structure; and defects. Additional Information Eligibility rules apply for submissions; please see the Program Description section of the CER solicitation for details. PIs are encouraged to include all anticipated broader impact activities in their initial proposals, rather than planning on supplemental requests. Most projects include: (1) the anticipated significance on science, engineering and/or technology including possible benefits to society, (2) plans for the dissemination, and (3) broadening participation of underrepresented groups and/or excellence in training, mentoring, and/or teaching. Many successful proposals include one additional broader impact activity.

The High Priority (HP) Grant Program is a discretionary (i.e., competitive) program which provides financial assistance to: 1)advance the technological capability and promote HP Innovative Technology Deployment (HP-ITD) to include the deployment of intelligent transportation system (i.e., formerly CVISN) applications for commercial motor vehicle (CMV) operations, including CMVs, commercial drivers, and carrier-specific information systems/networks; to support/maintain CMV information systems/networks; to link Federal Motor Carrier Safety Administration (FMCSA) information systems with State CMV information systems; to improve the safety and productivity of CMVs and commercial drivers; to reduce costs associated with CMV operations and Federal and State CMV regulatory requirements; and/or 2)carry out HP-CMV Safety activities and projects that augment motor carrier safety activities and projects planned in accordance with the Motor Carrier Safety Assistance Program (MCSAP) including projects related to Performance and Registration Information Systems Management (PRISM) and Safety Data Quality (SaDIP).

As part of NSF's Cyberinfrastructure Framework for 21st Century Science and Engineering (CIF21) activity, the Directorate for Education and Human Resources (EHR) seeks to enable research communities to develop visions, teams, and capabilities dedicated to creating new, large-scale, next-generation data resources and relevant analytic techniques to advance fundamental research for areas of research covered by EHR programs. Successful proposals will outline activities that will have significant impacts across multiple fields by enabling new types of data-intensive research. Investigators should think broadly and create a vision that extends intellectually across multiple disciplines and that includes-but is not necessarily limited to - areas of research funded by EHR.

The National Science Foundation Directorate for Engineering (NSF/ENG) Emerging Frontiers in Research and Innovation (EFRI) program invites supplemental funding requests from PIs with active Origami Design for Integration of Self-assembling Systems for Engineering Innovation (ODISSEI) awards for translational research efforts to foster innovation and maximize the technological impact of their project. The ODISSEI program is a partnership between NSF/ENG and the Air Force Office of Scientific Research. This opportunity for supplemental funding is aimed at enabling current ODISSEI PIs to begin or accelerate the translation of their cutting edge research into advanced technologies - thus transforming innovative research to real-world innovation. Through this Dear Colleague Letter (DCL), PIs with active ODISSEI awards are encouraged to partner with industry in an effort to move their discoveries towards practical applications with proof of concept demonstrations. The inclusion of an industrial partner will help define appropriate use-inspired research and develop new technological directions, along with sustaining and advancing the ODISSEI field.