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NSF GRANTED supports innovative models of research enterprise administrative development and workforce training infrastructure that promote sustainable research capacity and opportunities for economic impactin U.S. organizations. The research enterprise, broadly defined, includes research development and administration, research analytics, technology transfer and commercialization, corporate relations/public-private partnerships, research integrity, compliance and security, research policy, administration of student research training, and research leadership. Strengthening and transforming this administrative infrastructure is necessary to fully utilize the Nation's research talent and capabilities and empower America's organizations that engage in or support research and its outcomes, to participate in a globally competitive research enterprise. Program Description Maintaining U.S. global leadership demands a research enterprise that is competitive, effective, sustainable and contributes to the Nation's economic growth goals. A strong national research enterprise relies on more than funding for the research itself. It also requires robust administrative support-and-service infrastructure, which is often unseen, yet includes critical components to ensure a competitive research environment regardless of organization or location. Research enterprise infrastructure enables the development of proposals and management of awards and supports research translation through technology transfer and public-private partnerships. Research compliance enables the security and integrity of....

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The Communications, Circuits, and Sensing-Systems (CCSS) Program supports innovative research in circuit and system hardware and signal processing techniques. CCSS also supports system and network architectures for communications and sensing to enable the next-generation cyber-physical systems (CPS) that leverage computation, communication, and sensing integrated with physical domains. CCSS invests in micro- and nano-electromechanical systems (MEMS/NEMS), physical, chemical, and biological sensing systems, neurotechnologies, and communication & sensing circuits and systems. The goal is to create new complex and hybrid systems ranging from nano- to macro-scale with innovative engineering principles and solutions for a variety of applications including but not limited to healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent transportation, manufacturing, energy, and smart buildings. CCSS encourages research proposals based on emerging technologies and applications for communications and sensing such as high-speed communications of terabits per second and beyond, sensing and imaging covering microwave to terahertz frequencies, personalized health monitoring and assistance, secured wireless connectivity and sensing for the Internet of Things, and dynamic-data-enabled autonomous systems through real-time sensing and learning. Areas managed by CCSS Program Directors (please contact Program Directors listed in the CCSS staff directory for areas of interest): RF Circuits and Antennas for Communications and...

TheThermal Transport Processesprogram is part of the Transport Phenomena cluster, which alsoincludes1) theCombustion and Fire Systemsprogram; 2) theFluid Dynamicsprogram; and 3) theParticulate and Multiphase Processesprogram. TheThermal Transport Processesprogram supports engineering research projects that lay the foundation for newadvances in thermal transport phenomena. These projects should either develop new fundamental knowledge or combine existing knowledge in thermodynamics, fluid mechanics, and heat and mass transfer to probe new areas of innovation in thermal transport processes. The program seeks transformative projects with the potential for improvingbasic understanding, predictability and application of thermal transport processes. Projects should articulate the contribution(s) to the fundamental knowledge supporting thermal transport processes and state clearly the potential application(s) impact when appropriate.Projects that combine analytical, experimental and numerical efforts, geared toward understanding, modeling and predicting thermal phenomena, are of great interest.Collaborative and interdisciplinary proposals for which the main contribution is in thermal transport fundamentals are also encouraged. Emphasis is placed on research that demonstrates how thermal transport phenomena affect the existence, behavior and dynamics of components and systems.Priority is given to insightful investigations of fundamental problems with clearly defined economic, environmental and societal impacts. Some specific areas of interest include: Convection/diffusion/radiation...

TheNanoscale Interactionsprogram is part of theEnvironmental Engineering and Sustainabilitycluster, which also includes: 1) theEnvironmental Engineeringprogram; and 2) theEnvironmental Sustainabilityprogram. The goal of theNanoscale Interactionsprogram is to support research toadvance fundamental and quantitative understanding of the interactions of nanomaterials and nanosystems with biological andenvironmental media. Materials of interest include one- to three-dimensional nanostructures, heterogeneous nano-bio hybrid assemblies, dendritic and micelle structures, quantum dots, and other nanoparticles.Such nanomaterials and systems frequently exhibit novel physical, chemical, photonic, electronic, and biological behavior as compared to the bulk scale. Collaborative and interdisciplinary proposals are encouraged. Research areas supported by the program include: Characterizationof interactions at the interfacesof nanomaterials and nanosystems,including both simple nanoparticles andcomplex and/or heterogeneouscomposites and nanosystems, with surrounding biological and environmental media; Developmentof predictive toolsbased on the fundamental behavior ofnanostructures to advancecost-effective and environmentally benignprocessing and engineeringsolutions over full-life material cycles; Examinationof the transport, interaction, and impact of nanostructured materials andnanosystems on biological systems and the environment; Simulationsof nanoparticle behavior at interfaces, in conjunction with experimentalcomparisons, and new theories and simulation approaches for determiningthe t...

The Infrastructure Innovation for Biological Research Program (Innovation) supports research to design novel or greatly improved research tools and methods that advance contemporary biology in any research area supported by the Directorate forBiological Sciences at NSF. The Innovation Program focuses on research infrastructure that is broadly applicable to researchers in three programmatic areas: Bioinformatics, Instrumentation, and Research Methods. Infrastructure supported by this program is expected to advance biological understanding by improving scientists’ abilities to manipulate, control, analyze, or measure critical aspects of biological systems, which can be essential for addressing important fundamental research questions. Proposals submitted to these programmatic areas can do one of three things to advance or transform research in biology: develop novel infrastructure, significantly redesign existing infrastructure, or adapt existing infrastructure in novel ways. Projects are expected to have a significant application to one or more biological science questions and have the potential to be used by a community of researchers beyond a single research team. Please refer to the descriptions of individual programmatic areas for detailed guidance on what is supported through this solicitation (see links below).

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The Energy, Power, Control, andNetworks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, 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 novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN’s goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior. Areas managed by Program Directors (please contact Program Directors listed in the EPCN staff directory for areas of interest): Control Systems Distributed Control and Optimization Networked Multi-Agent Systems Stochastic, Hybrid, Nonlinear Systems Dynamic Data-Enabled Learning, Decision and Control Cyber-Physical Control Systems Applications (Biomedical, Transportation, Robotics) Energy and Power Systems Solar, Wind, and Storage Devices Integration with the Grid Monitoring, Protection and Resilient Operation of Grid Power Gr...

The Economics program supports research designed to improve the understanding of the processes and institutions of the U.S. economy and of the world system of which it is a part. This program also strengthens both empirical and theoretical economic analysis as well as the methods for rigorous research on economic behavior. It supports research in almost every area of economics, including econometrics, economic history, environmental economics, finance, industrial organization, international economics, labor economics, macroeconomics, mathematical economics, and public finance. The Economics program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, symposia, experimental research, data collection and dissemination, computer equipment and other instrumentation, and research experience for undergraduates. The program places a high priority on interdisciplinary research. Investigators are encouraged to submit proposals of joint interest to the Economics Program and other NSF programs and NSF initiative areas. The program places a high priority on broadening participation and encourages proposals from groups and regions that traditionally have not participated fully in science, mathematics, and engineering. The program also funds conferences and interdisciplinary research that strengthens links among economics and the other social and behavioral sciences as well as mathematics and statistics. The Doctoral Dissertation Research Improvement Grants (DDRIG) funding opportunity is designed to improve the....

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The Facility and Instrumentation Request Process (FIRP) solicitation describes the mechanism by which the research community can propose projects that require access to instrumentation and facilities sponsored by the Facilities for Atmospheric Research and Education (FARE) Program in the Division of Atmospheric and Geospace Sciences (AGS).  FARE provides funding to a variety of organizations to make specialized instrumentation and facilities available to the atmospheric science research community through the Lower Atmosphere Observing Facilities (LAOF) and the Community Instruments and Facilities (CIF) programs. FIRP allows for parallel evaluation of intellectual merit and broader impacts along with the feasibility of the proposed project. All proposals to AGS that require the use of FARE-sponsored assets must be submitted through this solicitation.  The FIRP solicitation offers three proposal submission tracks based on the type and purpose of the request:   Track 1 - Education and Outreach. Track 2 - Single Facility Request. Track 3 - Field Campaigns.    Preference for funding will be given to proposals submitted to programs in the Division of Atmospheric and Geospace Sciences (AGS) in the Geosciences Directorate (GEO). If you are planning to submit a proposal to a program outside AGS, including NSF-wide or Directorate-wide solicitations, please contact the FARE program director, Shree Mishra at fare@nsf.gov to discuss the timelines, review process, and budget request for the use of FARE assets. 

The Catalysis program is part of the Chemical Process Systems cluster, which also includes: 1) the Electrochemical Systems program; 2) the Interfacial Engineering program; and 3) the Process Systems, Reaction Engineering, and Molecular Thermodynamics program. The goals of the Catalysis program are to increase fundamental understanding in catalytic engineering science and to advance the development of catalysts and catalytic reactions that are beneficial to society. Research should focus on critical challenges and opportunities in both new and proven catalysis technologies. Areas of emphasis may include novel catalyst compositions, structures, operating environment, data science tools, theory, and modeling – preferably in various combinations as dictated by the specific reaction and related knowledge and technology gaps. Target applications include fuels, specialty and bulk chemicals, environmental catalysis, biomass conversion to fuels and chemicals, greenhouse gas mitigation, recycling of waste materials, generation of solar hydrogen, as well as efficient routes to energy utilization. Heterogeneous catalysis represents the main thrust of the program. Proposals related to both gas-solid and liquid-solid heterogeneous catalysis are welcome, as are proposals that incorporate concepts from homogeneous catalysis. Recent research trends have highlighted the need for evaluation of catalyst performance and properties under working conditions, especially as supported by advanced in situ and in operando characterization methods. Catalyst synthesizability and stability present additi...

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CMMT supports theoretical and computational materials research in the topical areas represented in DMR's other Topical Materials Research Programs (these are also variously known as Individual Investigator Award (IIA) Programs, or Core Programs, or Disciplinary Programs), which are: Condensed Matter Physics (CMP), Biomaterials (BMAT), Ceramics (CER), Electronic and Photonic Materials (EPM), Metals and Metallic Nanostructures (MMN), Polymers (POL), and Solid State and Materials Chemistry (SSMC). The CMMT program supports fundamental research that advances conceptual understanding of hard and soft materials, and materials-related phenomena; the development of associated analytical, computational, and data-centric techniques; and predictive materials-specific theory, simulation, and modeling for materials research. First-principles electronic structure, quantum many-body and field theories, statistical mechanics, classical and quantum Monte Carlo, and molecular dynamics, are among the methods used in the broad spectrum of research supported in CMMT. Research may encompass the advance of new paradigms in materials research, including emerging data-centric approaches utilizing data-analytics or machine learning. Computational efforts span from the level of workstations to advanced and high-performance scientific computing. Emphasis is on approaches that begin at the smallest appropriate length scale, such as electronic, atomic, molecular, nano-, micro-, and mesoscale, required to yield fundamental insight into material properties, processes, and behavior, to predict new material...

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Materials Research is the field of science where physics, chemistry, materials science, and engineering naturally converge in the pursuit of the fundamental understanding of the properties of materials and the phenomena they host. Materials are abundant and pervasive, serving as critical building blocks in technology and innovation. Materials Research impacts life and society, as it shapes our understanding of the material world and enables significant advances spanning the range from nanoelectronics to health-related fields. The development and deployment of advanced materials are major drivers of U.S. economic growth. Research supported by the Division of Materials Research (DMR) focuses on advancing the fundamental understanding of materials, materials discovery, design, synthesis, characterization, properties, and materials-related phenomena. DMR awards enable understanding of the electronic, atomic, and molecular structures, mechanisms, and processes that govern nanoscale to macroscale morphology and properties; manipulation and control of these properties; discovery of emerging phenomena of matter and materials; and creation of novel design, synthesis, and processing strategies that lead to new materials with unique characteristics. These discoveries and advancements transcend traditional scientific and engineering disciplines. Projects supported by DMR are not only essential for the development of future technologies and industries that address societal needs, but also for the preparation of the next generation of materials researchers. Additional Information Eligibi...

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The Research Infrastructure in the Social and Behavioral Sciences Program (RISBS) supports projects that create computational tools and data to facilitate basic research in the social and behavioral sciences that can lead to improved health, prosperity and security. Projects should be aimed at creating computational tools and data to enable research by social scientists. Examples include, but are not limited to, data collection or assembly efforts that result in new resources for a community of researchers or software platforms that facilitate data collection efforts by others. RISBS does not support research by PIs except in service of creation of the infrastructure. Innovation is especially encouraged. RISBS directly supports three key longitudinal surveys and panel studies that provide researchers with data on how American society functions and changes over time (and in 2010 were recognized as among the 60 most significant "discoveries or advances that... have had a large impact or influence on every American’s life... call[ed] the ‘Sensational 60’, in honor of NSF’s 60th anniversary”): The American National Election Study, which started in 1948 and has been funded by NSF since 1977, provides “gold standard” data on voting, public opinion, and political participation in U.S. national elections. The General Social Survey, a nationally representative interview survey of the U.S. adult population, collects data on a wide range of topics and has been funded by NSF since its inception in 1972. The Panel Study of Income Dynamics, a longitudinal survey of a nationally represent...