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The Science and Technology Centers (STC): Integrative Partnerships program supports exceptionally innovative, complex research and education projects that require large-scale, long-term awards. STCs focus on creating new scientific paradigms, establishing entirely new scientific disciplines and developing transformative technologies which have the potential for broad scientific or societal impact. STCs conduct world-class research through partnerships among institutions of higher education, national laboratories, industrial organizations, other public or private entities, and via international collaborations, as appropriate. They provide a means to undertake potentially groundbreaking investigations at the interfaces of disciplines and/or highly innovative approaches within disciplines. STCs may involve any area of science and engineering that NSF supports. STC investments support the NSF vision of creating and exploiting new concepts in science and engineering and providing global leadership in research and education.

To continue to strengthen the innovation ecosystem, NSF is revising NSF 12-511 to promote two choices under the Partnerships for Innovation (PFI): Accelerating Innovation Research (AIR) subprogram.  The first choice, Technology Translation, encourages the translation of technologically-promising research discoveries made by prior and/or current NSF-funded investigators toward a path of commercialization; while the second choice, Research Alliance, promotes synergistic collaborations between an existing NSF-funded research alliance (including consortia such as Engineering Research Centers, Industry University Cooperative Research Centers, Science and Technology Centers, Nanoscale Science and Engineering Centers, Materials Research Science and Engineering Centers, Centers for Chemical Innovation, and Emerging Frontiers in Research and Innovation grantees) and other public and private entities to motivate the translation and transfer of research discoveries into innovative technologies and commercial reality.  Both of these choices are designed to accelerate innovation that results in the creation of new wealth and the building of strong local, regional, and national economies.

The NIJ Graduate Research Fellowship (GRF) program in Social and Behavioral Sciences is open to doctoral students in all social and behavioral science disciplines. This program provides awards to accredited academic institutions to support graduate research leading to doctoral degrees in areas that are relevant to ensuring public safety, preventing and controlling crime, and ensuring the fair and impartial administration of criminal justice in the United States. NIJ invests in doctoral education by supporting academic institutions that sponsor students who demonstrate the potential to successfully complete doctoral degree programs in disciplines relevant to the mission of NIJ and who are in the final stages of graduate study. Applicants sponsoring doctoral students are eligible to apply only (1) if the doctoral student'‚ƒƒ™s degree program is a Social and Behavioral Science discipline and (2) if the student's proposed dissertation research has direct implications for criminal justice policy and practice in the United States.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding complex neurobiological systems, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines. Through the CRCNS program, the National Science Foundation (NSF), the National Institutes of Health (NIH), the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF), the French National Research Agency (Agence Nationale de la Recherche, ANR), and the United States-Israel Binational Science Foundation (BSF) support collaborative activities that will advance the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system. 

The Chemical Measurement and Imaging Program supports research focusing on chemically-relevant measurement science and chemical imaging, targeting both improved understanding of new and existing methods and development of innovative approaches and instruments.  Research areas include but are not limited to sampling and separation science; electroanalytical chemistry; spectrometry; and frequency- and time-domain spectroscopy.  Development of new chemical imaging and measurement tools probing chemical properties and processes are supported.  Innovations enabling the monitoring and imaging of chemical and electronic processes across a wide range of time and length scales are also relevant.  New approaches to data analysis and interpretation (including chemometrics) are encouraged.  Proposals addressing established techniques must seek improved understanding and/or innovative approaches to substantially broaden applicability.  Sensor-related proposals should address new approaches to chemical sensing, with prospects for broad utility and significant enhancement of current capabilities.

The Chemical Measurement and Imaging Program supports research focusing on chemically-relevant measurement science and chemical imaging, targeting both improved understanding of new and existing methods and development of innovative approaches and instruments.  Research areas include but are not limited to sampling and separation science; electroanalytical chemistry; spectrometry; and frequency- and time-domain spectroscopy.  Development of new chemical imaging and measurement tools probing chemical properties and processes are supported.  Innovations enabling the monitoring and imaging of chemical and electronic processes across a wide range of time and length scales are also relevant.  New approaches to data analysis and interpretation (including chemometrics) are encouraged.  Proposals addressing established techniques must seek improved understanding and/or innovative approaches to substantially broaden applicability.  Sensor-related proposals should address new approaches to chemical sensing, with prospects for broad utility and significant enhancement of current capabilities.

NIJ seeks proposals for basic or applied research and development projects that will: (1) increase the body of knowledge to guide and inform forensic science policy and practice or (2) lead to the production of useful materials, devices, systems, or methods that have the potential for forensic application. The intent of this program is to direct the findings of basic scientific research, research and development in broader scientific fields applicable to forensic science, and ongoing forensic science research toward the development of highly discriminating, accurate, reliable, cost-effective, and rapid methods for the identification, analysis, and interpretation of physical evidence for criminal justice purposes.

In 2013, a new NSF-funded petascale computing system, Blue Waters, was deployed at the University of Illinois.  The goal of this project and system is to open up new possibilities in science and engineering by providing computational capability that makes it possible for investigators to tackle much larger and more complex research challenges across a wide spectrum of domains.  The purpose of this solicitation is to invite research groups to submit requests for allocations of resources on the Blue Waters system. Proposers must show a compelling science or engineering challenge that will require petascale computing resources. Proposers must also be prepared to demonstrate that they have a science or engineering research problem that requires and can effectively exploit the petascale computing  capabilities offered by Blue Waters.  Proposals from or including junior researchers are encouraged, as one of the goals of this solicitation is to build a community capable of using petascale computing.

The DMR Polymers Program supports fundamental research and education on polymeric materials and polymer science. The program portfolio is mainly experimental and highly diverse with components of materials science, chemistry, physics, and other related disciplines. While interdisciplinarity is stressed, central goals include advancing the foundations of polymer science through innovative research and education and pushing back the wide horizon of the field. Polymers are studied from the molecular level through the nano-to-macro continuum using fundamental materials-focused scientific approaches. Such approaches are experimental but may also closely integrate theoretical, computational, or cyber aspects. Broad areas addressed include synthesis, molecular and self-assembly, characterization, phase behavior, structure, morphology, and properties. Particular focus is on transformative approaches to innovative materials with superior properties, on advancing polymer fundamentals and optimizing structure-property relationships, as well as on basic research addressing major societal challenges. High-quality proposals that integrate research, education, and other broader impacts are invited.

The goal of the NSF Section for Arctic Sciences, Division of Polar Programs (PLR), is to gain a better understanding of the Arctic's physical, biological, geological, chemical, social and cultural processes; the interactions of oceanic, terrestrial, atmospheric, biological, social, cultural, and economic systems; and the connections that define the Arctic. The Arctic Sciences and other NSF programs support projects that contribute to the development of the next generation of researchers and scientific literacy for all ages through education, outreach, and broadening participation in science, technology, engineering, and mathematics. Program representatives from polar and other non-polar NSF programs that support arctic research coordinate across NSF, including joint review and funding of arctic proposals and mutual support of special projects with high logistical costs.

The DMR Polymers Program supports fundamental research and education on polymeric materials and polymer science. The program portfolio is mainly experimental and highly diverse with components of materials science, chemistry, physics, and other related disciplines. While interdisciplinarity is stressed, central goals include advancing the foundations of polymer science through innovative research and education and pushing back the wide horizon of the field. Polymers are studied from the molecular level through the nano-to-macro continuum using fundamental materials-focused scientific approaches. Such approaches are experimental but may also closely integrate theoretical, computational, or cyber aspects. Broad areas addressed include synthesis, molecular and self-assembly, characterization, phase behavior, structure, morphology, and properties. Particular focus is on transformative approaches to innovative materials with superior properties, on advancing polymer fundamentals and optimizing structure-property relationships, as well as on basic research addressing major societal challenges. High-quality proposals that integrate research, education, and other broader impacts are invited.

The International Research Network Connections (IRNC) program supports high-performance network connectivity required by international science and engineering research and education collaborations involving the NSF research community. NSF expects to make 1-2 awards to link U.S. research networks with peer networks in Europe and Africa and leverage existing international network connectivity. High-performance network connections funded by this program are intended to support science and engineering research and education applications, and preference will be given to solutions that provide the best economy of scale and demonstrate the ability to support the largest communities of interest with the broadest services. Funded projects will assist the U.S. research and education community by enabling state-of-the-art international network services and access to increased collaboration and data services. Through extended international network connections, additional research and production network services will be enabled, complementing those currently offered or planned by domestic research networks.

The International Research Network Connections (IRNC) program supports high-performance network connectivity required by international science and engineering research and education collaborations involving the NSF research community. NSF expects to make 1-2 awards to link U.S. research networks with peer networks in Europe and Africa and leverage existing international network connectivity. High-performance network connections funded by this program are intended to support science and engineering research and education applications, and preference will be given to solutions that provide the best economy of scale and demonstrate the ability to support the largest communities of interest with the broadest services. Funded projects will assist the U.S. research and education community by enabling state-of-the-art international network services and access to increased collaboration and data services. Through extended international network connections, additional research and production network services will be enabled, complementing those currently offered or planned by domestic research networks.

CHE supports a large and vibrant research community engaged in fundamental discovery, invention, and innovation in the chemical sciences. The projects supported by CHE explore the frontiers of chemical science, develop the foundations for future technologies and industries that meet changing societal needs, and prepare the next generation of chemical researchers. Some of the areas supported by CHE include: designing, synthesizing and characterizing new molecules, catalysts, surfaces, and nanostructures - especially those with a focus on sustainability; increasing our fundamental understanding of chemical species and their chemical transformations, kinetics, and thermodynamics; developing new tools and novel instrumentation for chemical discovery, including those in sensing, communication, and data discovery science where increasing volumes and varieties of data are harnessed to advance innovation; determining structure-function relationships in biological systems and contributing to our understanding of the fundamental rules of life; observing, manipulating, and controlling the behavior of matter and energy in nanometer dimensions such as the quantum regime; understanding chemical processes in the environment; and solving complex chemical problems by the development of new theories, computations, models, and tools, including the synergistic combination of multiple types of instruments.

Predictive Science is potentially applicable to a variety of fields, including nuclear weapons, efficient manufacturing, biological systems, nanoscale material science, organic chemical processes, climate modeling, etc. Success in these simulations requires both software and algorithmic frameworks for integrating multiple disciplines into a single application and adding significant disciplinary strength and depth to make that integration effective. Applications should conduct computer science research in areas that will contribute to the advancement of Exascale computing technologies and demonstrate the results in the context of the chosen application. The FOA contains topics that are of particular interest to the NNSA National Laboratories as they move towards Exascale computing. Other topics that will enable the advancements in Exascale computing are encouraged as well. More details are contained in the FOA.

The New York City-based Camille & Henry Dreyfus Foundation is accepting nominations from academic institutions for its Henry Dreyfus Teacher-Scholar Awards Program. The annual program supports the research and teaching careers of talented young faculty in the chemical sciences at undergraduate institutions. Based on institutional nominations, the program provides discretionary funding to faculty at an early stage in their careers. The award is based on accomplishment in scholarly research with undergraduates, as well as a compelling commitment to teaching, and provides an unrestricted research grant of $60,000. The program is open to academic institutions in the states, districts, and territories of the United States that grant a bachelor's or master's degree in the chemical sciences, including biochemistry, materials chemistry, and chemical engineering. Nominees must hold a full-time tenure-track academic appointment; be after the fourth and not after the twelfth years of their independent academic careers; and be engaged in research and teaching primarily with undergraduates.

The Fusion Energy Sciences (FES) program in the Office of Science (SC), U.S. Department of Energy (DOE), announces its interest in receiving new or renewal grant applications for theoretical and computational research relevant to the U.S. magnetic fusion energy sciences program. Applications selected in response to this Funding Opportunity Announcement (FOA) will be funded in Fiscal Year 2018, subject to the appropriation of funds by the Congress. The specific areas of interest are: 1. Macroscopic Stability 2. Confinement and Transport 3. Boundary Physics 4. Plasma Heating & Non-inductive Current Drive, and 5. Energetic Particles

The Fusion Energy Sciences (FES) program in the Office of Science (SC), U.S. Department of Energy (DOE), announces its interest in receiving new or renewal grant applications for theoretical and computational research relevant to the U.S. magnetic fusion energy sciences program. Applications selected in response to this Funding Opportunity Announcement (FOA) will be funded in Fiscal Year 2018, subject to the appropriation of funds by the Congress. The specific areas of interest are:

The National Institute of Environmental Health Sciences (NIEHS) invites qualified investigators from domestic institutions of higher education to apply to the Superfund Research Program (SRP) R01 Individual Research Project grant program. The mission of the NIEHS is to discover how the environment affects people in order to promote healthier lives. The NIEHS Superfund Research Program (SRP) (http://www.niehs.nih.gov/research/supported/srp/) was established under the Superfund Amendment Reauthorization Act (SARA) Section 311(a), which authorizes NIEHS to implement a university-based program of basic research for the development of: 1) advanced techniques for the detection, assessment, and evaluation of the effect of hazardous substances on human health; 2) methods to assess the risks to human health presented by hazardous substances; 3) methods and technologies to detect hazardous substances in the environment; and 4) basic biological, chemical, and physical methods to reduce the amount and/or toxicity of hazardous substances. SRP's broad scope, as dictated by the SARA mandates, allows NIEHS to support scientific research to address the wide array of scientific uncertainties facing the national Superfund program utilizing biomedical as well as environmental science and engineering approaches. Research supported by the SRP uses mechanistic science as a foundation and, in keeping with the broad research themes of the program mandates, the SRP promotes an interdisciplinary approach to develop solutions for the safe management of hazardous substances with the ultimate goal of improving public health.

Future ultra-low-energy computing, storage and signal-processing systems can be built on principles derived from organic systems that are at the intersection of chemistry, biology, and engineering. 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.

The overarching goals of this program are to (i) prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) that enables potentially transformative fundamental science and engineering research and contributes to the Nation's overall economic competiveness and security; (ii) ensure broad adoption of CI tools, methods, and resources by the fundamental science and engineering research community to enable new modes of discovery; and (iii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data science and engineering into the Nation's educational curriculum/instructional material fabric spanning undergraduate and graduate courses. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, and services for advanced computation, data handling, networking, and security that collectively enable potentially transformative fundamental research.

The International Research Experiences for Students (IRES) program supports development of globally-engaged U.S. science and engineering students capable of performing in an international research environment at the forefront of science and engineering.  The IRES program supports active research participation by students enrolled as undergraduates or graduate students in any of the areas of research funded by the National Science Foundation.  IRES projects involve students in meaningful ways in ongoing research programs or in research projects specifically designed for the IRES program.