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Funding Opportunities


DOD US Army Combat Capabilities Development Command Broad Agency Announcement

Deadline: Friday, February 28, 2025
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=327285
Limited Submission: No

Description

This Broad Agency Announcement (BAA) is intended to fulfill requirements for scientific study and experimentation directed toward advancing state-of-the-art technologies and/or increasing knowledge and understanding as a means of eliminating current technology barriers. 

Deadline: On-going through February 28, 2025


DOD-ONR Science, Technology, Engineering, and Mathematics (STEM) Program

Deadline: Friday, March 31, 2023
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=339127
Limited Submission: No

Description

ONR seeks a broad range of applications for augmenting existing and/or developing innovative solutions that directly maintain and/or cultivate a diverse, world-class Science, Technology, Engineering and Mathematics (STEM) workforce to maintain the U.S. Navy and Marine Corps’ technological superiority. The goal of proposed efforts must provide solutions that establish, build, and/or maintain STEM educational pathways and workforce opportunities for diverse U.S. citizens directly relevant to ONR science and technology areas. 

Deadline: On-going through March 31, 2023


NASA-ROSES Lunar Data Analysis Program

Deadline: Thursday, December 1, 2022
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b88A8C49C-4BE0-DEAD-5C2A-00DD5771C9DB%7d&path=&method=init
Limited Submission: No

Description

The Lunar Data Analysis Program (LDAP) funds research on the analysis of data from missions for lunar science investigations. The overall objectives of LDAP are to: enhance the scientific return of lunar missions conducted by NASA or other space agencies; broaden scientific participation in the analysis of lunar mission data sets; and fund high-priority areas of research, such as those that support planning for future lunar missions (e.g., see Section 1.3).

Deadlines: December 1 – Step 1 – February 23 – Step 2


NIH Transformative Artificial Intelligence and Machine Learning Based Strategies to Identify Determinants of Exceptional Health and Life Span (R21/R33)

Deadline: Friday, October 21, 2022
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-AG-23-033.html
Limited Submission: No

Description

This FOA invites applications seeking to develop novel, transformative artificial intelligence/machine learning (AI/ML) strategies and computer automation to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display a wide variation in life span, and to decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging. 


Computer and Information Science and Engineering (CISE): Core Programs

Deadline: Friday, September 30, 2022
Link: https://www.nsf.gov/pubs/2022/nsf22076/nsf22076.jsp
Limited Submission: No

Description

This DCL invites proposals for CMOS+X technology demonstrations from teams bringing together device researchers and computer system designers. For example, a team might bring together one group (e.g., material scientists and device researchers) with infrastructure or access to fabricate an emerging technology (X) that can be co-integrated with CMOS at a low granularity level on the one hand — with another group (system designers) with expertise in designing fabless CMOS+X systems and demonstrating advantages of emerging technologies using device modeling and circuit simulation on the other. Collaborations between two or more organizations are strongly encouraged to prototype, test, and evaluate CMOS+X integrated circuits, and thereby to broaden the set of researchers engaged in these efforts. Cointegration of larger functional blocks may also be attempted depending on available facilities. 

Deadline: Depends on targeted program


NASA-ROSES Mars Data Analysis

Deadline: Wednesday, September 7, 2022
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7bB109923F-23F4-0643-0E9F-55F8C346A613%7d&path=&method=init
Limited Submission: No

Description

The objective of the Mars Data Analysis Program (MDAP) is to enhance the scientific return from missions to Mars conducted by NASA and other space agencies. These include, but are not limited to, the following missions: Mars Pathfinder (MPF), Mars Global Surveyor (MGS), Mars Odyssey (MO), Mars Exploration Rovers (MER), Mars Express (MEX), Mars Reconnaissance Orbiter (MRO), Phoenix (PHX), Mars Science Laboratory (MSL), 41TMars Atmosphere and Volatile EvolutioN (15T41TMAVEN15T41T), ExoMars Trace Gas Orbiter (TGO), InSight, and Mars 2020 (the Perseverance rover and Ingenuity helicopter)41T. Any proposal may incorporate the investigation of data from more than one mission. Additional information about these missions, as well as references containing preliminary science results, can be found on the Mars Exploration Program (MEP) homepage at: http://mars.nasa.govU30T  

Deadlines: September 7 – Step 1; November 15 – Step 2


NEH Humanities Connections

Deadline: Thursday, September 1, 2022
Link: https://www.neh.gov/grants/education/humanities-connections
Limited Submission: No

Description

The purpose of this program is to expand the role of the humanities in undergraduate education at two- and four-year institutions. Awards support innovative curricular approaches that foster partnerships among humanities faculty and their counterparts in the social and natural sciences and in pre-service or professional programs (such as business, engineering, health sciences, law, computer science, and other technology-driven fields) in order to encourage and develop new integrative learning opportunities for students. 


NASA-ROSES Discovery Data Analysis Program (DDAP)

Deadline: Tuesday, August 30, 2022
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7b76FB0DC6-7EDA-5DB1-739E-54210E61A06F%7d&path=&method=init
Limited Submission: No

Description

NASA's Discovery Data Analysis Program (DDAP) advances the planetary sciences through research based on select missions of NASA's Discovery Program, and ESA's Rosetta and BepiColombo missions. DDAP's objectives are to enhance the scientific return of these missions by supporting new analyses, approaches, and interpretations of data and samples. 2. U

Significant Changes from Recent Years 

  • Proposals that utilize emerging methods in scientific data analysis are encouraged, including but not limited to: machine learning, cloud-based processing, and integration of data with advanced numerical models. Low-cost, highly experimental proposals in these areas are especially encouraged. 
  • Open science approaches are encouraged. 
  • Neither NSPIRES cover page budgets nor detailed budgets are requested at the time of proposal submission for DDAP; proposers must merely identify the project duration and cost category: small (<$125K/year), medium ($125- 175K/year), or large ($176-300K/year). The budget cost caps of submitted proposals need not match those chosen at the time NOIs were submitted. However, for those with proposals deemed selectable, who are invited to submit detailed budgets, those budgets may not exceed the budget cost cap category that was chosen when the proposal was submitted. 
  • Dual-anonymous peer review processes will be used for evaluation. Reviewers are not told the identities of the proposers during evaluation, see Section 6.2.

Deadlines: August 30 – NOI; November 1 - Application


NSF Innovative Technology Experiences for Students and Teachers (ITEST) 

Deadline: Friday, August 12, 2022
Link: https://beta.nsf.gov/funding/opportunities/innovative-technology-experiences-students-and-teachers-itest
Limited Submission: No

Description

ITEST is an applied research and development program with goals to advance the equitable and inclusive integration of technology in the learning and teaching of science, technology, engineering, or mathematics (STEM) from pre-kindergarten through high school. The program’s objective is to support all students’ acquisition of the foundational preparation in STEM disciplines. Preparation for the current and future workforce is increasingly dependent upon the application and use of technology and computing. 


NASA Space Technology – Research, Development, Demonstration, and Infusion 2022 (SpaceTech–REDDI– 2022)

Deadline: Wednesday, August 3, 2022
Link: https://nspires.nasaprs.com/external/solicitations/summary.do?solId=%7bE90CAFAE-2BCB-0865-E467-C69498F38418%7d&path=&method=init
Limited Submission: No

Description

The goal of an STRI is to strengthen NASA’s ties to the academic community through long-term, sustained investment in research and technology development critical to NASA’s future. The STRIs will enhance and broaden the capabilities of the Nation’s universities to meet the needs of NASA’s science and exploration programs. An STRI is intended to result in cutting-edge advances in technology with the potential for revolutionary impact on future aerospace capabilities. At the same time, it will expand the U.S. talent base in research and development. Research products are expected in the conduct of the STRI research plan. The products developed over the course of the award should demonstrate a growing level of validation and integration. Integrated, multidisciplinary solutions are sought, as opposed to groups of loosely connected single-discipline solutions. Example products include design tools, models, databases and associated analysis tools, fabrication and characterization methods, or other technical advancements. Areas of interest include: Accelerating Additive Manufacturing Certification with Model-Based Tools; and Quantum Technologies for Remote Sensing. 

Deadlines: August 3 – Preliminary proposal; November 3 – Full proposals (by invite)


NIH Educational Hub for Enhancing Diversity in Computational Genomics and Data Science (U24)

Deadline: Wednesday, July 27, 2022
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-HG-22-002.html
Limited Submission: No

Description

The overarching purpose of this initiative is to leverage the NHGRI-funded Genomic Data Science Analysis, Visualization and Informatics Lab-space (AnVIL) and other NIH cloud-based platforms, to enhance the diversity of individuals who have access to educational and research opportunities in computational genomics and data science (CGDS), including those from underrepresented groups. This initiative will focus on opportunities at the undergraduate and master’s degree level. 


DOD-ARO Quantum Computing (QC) in the Solid State with Spin and Superconducting qubit Systems (QC-S5)

Deadline: Friday, July 15, 2022
Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=337412
Limited Submission: No

Description

ARO is soliciting proposals for research in four research topic areas: (A) Modular Quantum Gates (ModQ); (B) Gates on Advanced qubits with Superior Performance (GASP); (C) Fast control and readout schemes (FastCARS); and (D) Noise in solid-state spin and superconducting systems (NS5). Responses to these topics must address the circuit gate-based model of quantum computation (QC) and must be suitable for universal control in multi-qubit architectures. Topics A, C, and D require the use of high fidelity, multi-qubit devices, such as gate-defined SiGe or MOS quantum dots or high fidelity multi-qubit superconducting qubit devices to achieve their objectives. In contrast, topic B focuses on new spin and superconducting qubits which have a demonstrated superior performance metric when compared to standard leading gate-based qubits. 

Deadlines: July 15 – White paper; September 30 - Proposal


NIH BRAIN Initiative Connectivity across Scales (BRAIN CONNECTS): Specialized Projects for Scalable Technologies (U01)

Deadline: Wednesday, July 13, 2022
Link: http://grants.nih.gov/grants/guide/rfa-files/RFA-NS-22-049.html
Limited Submission: No

Description

This FOA supports Specialized Projects to develop current or emerging technologies to generate comprehensive atlases of brain connectivity, with an emphasis on human, non-human primate (NHP), and mouse.  Projects validating approaches using other species are also permitted if well justified.  Applications may address any aspects of the data collection, analysis, and dissemination pipelines, to enable faster and more cost-effective generation and interpretation of brain-wide wiring diagrams. 


NIH BRAIN Initiative Connectivity across Scales (BRAIN CONNECTS): Comprehensive Centers for Mouse Brain (UM1) 

Deadline: Wednesday, July 13, 2022
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-NS-22-048.html
Limited Submission: No

Description

This FOA supports Comprehensive Centers to develop and test technologies that can be scaled to brain-wide atlases of mouse circuit connectivity.  Centers will establish data collection, analysis, and dissemination pipelines to demonstrate the feasibility of mapping cell-to-cell connectivity with a minimum resolution of synaptic connections. 


NSF Dear Colleague Letter: Workforce Development in Spectrum STEM

Deadline: Monday, July 11, 2022
Link: https://beta.nsf.gov/funding/opportunities/workforce-development-spectrum-stem
Limited Submission: No

Description

Through this Dear Colleague Letter (DCL), NSF seeks to encourage the STEM and policy-making communities to develop innovative education and workforce development plans to address the nation's future spectrum workforce needs. This DCL invites supplemental funding requests from PIs of existing awards in the following programs: Spectrum Efficiency, Energy Efficiency, and Security: Enabling Spectrum for All (SpecEES), NSF/Intel Partnership on Machine Learning for Wireless Networking Systems (MLWiNS), Spectrum and Wireless Innovation enabled by Future Technologies (SWIFT), Spectrum Innovation Initiative: National Center for Wireless Spectrum Research (SII-Center), Resilient and Intelligent NextG Systems (RINGS), and Spectrum Innovation Initiative: National Radio Dynamic Zones (SII-NRDZ). 


NSF National Science Foundation Research Traineeship (NRT) Program

Deadline: Monday, July 11, 2022
Link: https://beta.nsf.gov/funding/opportunities/national-science-foundation-research-traineeship-program
Limited Submission: Yes

Description

The NSF Research Traineeship (NRT) program seeks proposals that explore ways for graduate students in research-based master’s and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas, through a comprehensive traineeship model that is innovative, evidence-based, and aligned with changing workforce and research needs. Proposals are requested that address any interdisciplinary or convergent research theme of national priority. Only two proposals are allowed per institution regardless of whether serving as lead or sub (*R1 institutions are not eligible for Track 2).

 

Internal deadline:  Preproposals due in InfoReady by July 11 (template)

Sponsor deadlines:  September 6


NSF Dear Colleague Letter: Enabling Quantum Computing Platform Access for National Science Foundation Researchers with Amazon Web Services, IBM, and Microsoft Quantum

Deadline: Friday, July 8, 2022
Link: https://www.nsf.gov/pubs/2022/nsf22092/nsf22092.jsp?WT.mc_ev=click&WT.mc_id=&utm_medium=email&utm_source=govdelivery
Limited Submission: No

Description

This notice Invites supplemental funding requests from active NSF awardees to enable the use of commercial quantum-computing platforms. Supplements provide support for graduate students and platform fees. 


NIH BRAIN Initiative: Targeted BRAIN Circuits Projects- TargetedBCP (R01)

Deadline: Friday, July 1, 2022
Link: https://grants.nih.gov/grants/guide/rfa-files/RFA-NS-22-026.html
Limited Submission: No

Description

This FOA solicits applications for research projects that seek to understand how circuit activity gives rise to mental experience and behavior using innovative, methodologically-integrated approaches. The goal is to support adventurous projects that can realize a potentially transformative outcome within 5 years. Applications are expected to address circuit function in the context of specific behaviors or neural systems, such as sensation, perception, attention, reasoning, intention, decision-making, emotion, navigation, communication, or homeostasis. Projects should link theory, data analysis, and/or computational approaches to experimental design and should produce predictive models (conceptual or quantitative). Deadline: July 1


NSF Secure and Trustworthy Cyberspace (SaTC)

Link: https://beta.nsf.gov/funding/opportunities/secure-and-trustworthy-cyberspace-satc
Limited Submission: No

Description

The SaTC program welcomes proposals that address cybersecurity and privacy, drawing on expertise in one or more of these areas: computing, communication, and information sciences; engineering; education; mathematics; statistics; and social, behavioral, and economic sciences. Proposals that advance the field of cybersecurity and privacy within a single discipline or interdisciplinary efforts that span multiple disciplines are both welcome. Deadline: On-going


NSF Tectonics

Link: https://beta.nsf.gov/funding/opportunities/tectonics
Limited Submission: No

Description

The Tectonics Program supports a broad range of field, laboratory, computational, and theoretical investigations aimed at understanding the deformation of the terrestrial continental lithosphere (i.e. above the lithosphere-asthenosphere boundary). The Program focuses on deformation processes and their tectonic drivers that operate at any depth within the continental lithosphere, on time-scales of decades/centuries (e.g. active tectonics) and longer, and at micro- to plate boundary/orogenic belt length-scales. Deadline: On-going


NSF Dear Colleague Letter: Pilot for the Allocation of High-Throughput Computing Resources (HTC)

Link: https://beta.nsf.gov/funding/opportunities/pilot-allocation-high-throughput-computing-resources-htc
Limited Submission: No

Description

NSF announces a Pilot for the Allocation of High-Throughput Computing (HTC) resources made available through the Partnership to Advance Throughput Computing (PATh) project supported by NSF. HTC supports the automated execution of workloads that consist of large ensembles of self-contained inter-dependent tasks that may require large amounts of computing power over long periods of time to complete. This opportunity is open to PIs interested in including requests for HTC resources in regular proposal submissions to the Programs participating in this Pilot. This opportunity is also open to NSF PIs with active awards supported by the Programs participating in this Pilot. Deadline: On-going


DOD-AFRL Air Delivered Effects

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=338821
Limited Submission: No

Description

This BAA is intended to cover, in general nature, all research areas of interest under this Directorate. Offerors contemplating a submission to AFRL/RW are strongly encouraged to contact the AFRL/RW technical POC for the research area to ascertain the extent of interest AFRL/RW may have in a specific research project. Research areas include: Weapon Airframe Systems Technology Research; Bioprincipic Sensors, Information Processing, and Control; Autonomous Target Recognition; Hardware-in-the-loop Simulation Technologies; Advanced Scene Generation; EO/IR/LADAR/SAL System Research; Navigation and Estimation Technology; Modeling, Simulation & Analysis of Advanced Weapon Concepts; Lethality, Vulnerability, and Survivability; Warhead Research; Fuze Research; Munitions Energetic Materials; Facilities and Equipment Enabling Ordnance Technologies and Advanced Energetics; Multi=Function, Multi-Mode Radar Research; Modular Open Systems Research; Science, Technology, Engineering and Mathematics (STEM) for Education Outreach; Weapons Autonomy Technology Research; Technology Transfer Innovative Collaboration; Cyber Resiliency Security Research for Precision-guided Munitions; and Strategic Planning, Prototyping and Experimentation. Deadline: On-going


NSF Dynamics, Control and Systems Diagnostics (DCSD)

Link: https://beta.nsf.gov/funding/opportunities/dynamics-control-and-systems-diagnostics-dcsd-0
Limited Submission: No

Description

DCSD program promotes the fundamental science and engineering of dynamic systems to advance solutions to urgent societal problems. Such problems include mitigating the impacts of climate change; responding to epidemics, cyber-attacks, extreme weather, and other natural and man-made events; promoting efficient and equitable production and distribution of resources; developing resilient infrastructure; improving the experience of work and learning; and meeting the challenges of aging and illness. Deadline: On-going


NSF Opportunities for Promoting Understanding through Synthesis (OPUS)

Link: https://beta.nsf.gov/funding/opportunities/opportunities-promoting-understanding-through-synthesis-opus
Limited Submission: No

Description

The OPUS program is targeted to individuals, typically at later-career stages, who have contributed significant insights to a field or body of research over time. The program provides an opportunity to revisit and synthesize that prior research into a unique, integrated product(s) useful to the scientific community, now and in the future. 

Deadline: On-going


NSF Dear Colleague Letter: Quantum Manufacturing

Link: https://www.nsf.gov/pubs/2022/nsf22074/nsf22074.jsp?WT.mc_ev=click&WT.mc_id=USNSF_30&utm_medium=email&utm_source=govdelivery
Limited Submission: No

Description

NSF Directorate for Engineering (ENG) invites the submission of EArly-concept Grants for Exploratory Research (EAGER) proposals or standard research proposals which focus on new manufacturing innovations enabling and accelerating the manufacturing of quantum devices with emphases spanning from device fabrication to potential modes of system integration. Proposed research projects that are responsive to this DCL should be based on the close collaboration between experiment and theory, and/or to novel, unconventional, and high-risk/high-reward ideas or strategies to address key scientific challenges in the manufacturing of quantum-based devices. Close collaboration between manufacturing and device scientists is strongly encouraged. 

Deadline: On-going


NSF Arctic Observing Networks (AON)

Link: https://beta.nsf.gov/funding/opportunities/arctic-observing-networks-aon
Limited Submission: No

Description

The Arctic Observing Network (AON) program encourages proposals to make long-term field observations to detect and understand Arctic system change occurring on time scales longer than the duration of a typical NSF research grant. These projects should address major drivers and/or impacts of system change and generate data intended for wider use by the scientific research community in understanding the changing Arctic system. Data analysis may be included as part of the proposed work. 

Deadline: On-going


NSF Infrastructure Capacity for Biological Research (Capacity) Program

Link: https://www.nsf.gov/pubs/2021/nsf21501/nsf21501.htm
Limited Submission: No

Description

The Infrastructure Capacity for Biological Research (Capacity) Program supports the implementation of, scaling of, or major improvements to research tools, products, and services that advance contemporary biology in any research area supported by the Directorate for Biological Sciences at NSF. The Capacity Program focuses on building capacity in research infrastructure that is broadly applicable to a wide range of researchers in three programmatic areas: Cyberinfrastructure, Biological Collections, and Biological Field Stations and Marine Laboratories. This program will also accept proposals for planning activities or workshops to facilitate coordination that may be necessary in building capacity in infrastructure that meets the needs of a research community. 

Deadline: On-going


NSF Division of Environmental Biology (DEB)

Link: https://nsf.gov/funding/pgm_summ.jsp?pims_id=503634&org=NSF&sel_org=NSF&from=fund
Limited Submission: No

Description

The DEB Core supports research and training on evolutionary and ecological processes acting at the level of populations, species, communities, and ecosystems. DEB encourages research that elucidates fundamental principles that identify and explain the unity and diversity of life and its interactions with the environment over space and time. Research may incorporate field, laboratory, or collection-based approaches; observational or manipulative studies; synthesis activities; phylogenetic discovery projects; or theoretical approaches involving analytical, statistical, or computational modeling. 

Deadline: On-going


NSF Dear Colleague Letter: Stimulating Integrative Research in Computational Cognition (CompCog)

Link: https://www.nsf.gov/pubs/2022/nsf22091/nsf22091.jsp?WT.mc_ev=click&WT.mc_id=&utm_medium=email&utm_source=govdelivery
Limited Submission: No

Description

NSF is interested in receiving proposals to existing programs, listed below, that explore computational models of human cognition, perception, and communication and that integrate considerations and findings across disciplines. Proposals submitted to programs in the Directorate for Social, Behavioral and Economic Sciences (SBE) should include a rigorous computational context, and proposals submitted to programs in the Directorate for Computer and Information Science and Engineering (CISE) should include a rigorous cognitive context. Deadline: On-going


NSF Dear Colleague Letter: Advancing Educational Innovations and Broadening Participation in STEM with Blockchain Technology

Link: https://www.nsf.gov/pubs/2022/nsf22093/nsf22093.jsp?WT.mc_ev=click&WT.mc_id=&utm_medium=email&utm_source=govdelivery
Limited Submission: No

Description

This Dear Colleague Letter (DCL) invites submission of proposals for projects that explore and research promising uses of blockchain technology in science, technology, engineering, and mathematics (STEM) education, broadening participation, and workforce development. This DCL encourages proposals that contain a mix of traditional EHR-funded expertise in the areas of formal and informal education, broadening participation and workforce development in all areas of STEM, with blockchain expertise provided by collaborators in the areas of computer science, information and communication technologies, data science, engineering, mathematics, physics, and other STEM disciplines. Deadline: Varies by program


DOD-DARPA Defense Sciences Office (DSO) Office-wide BAA

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=341144
Limited Submission: No

Description

The DSO Office-wide BAA invites proposers to submit innovative basic or applied research concepts or studies and analysis proposals that address one or more of the following technical thrust areas: (1) Novel Materials & Structures, (2) Sensing & Measurement, (3) Computation & Processing, (4) Enabling Operations, (5) Collective Intelligence, and (6) Global Change. Each of these thrust areas is described below and includes a list of example research topics that highlight several (but not all) potential areas of interest. Proposals must investigate innovative approaches that enable revolutionary advances. Thrust areas include: Novel materials & structures; Sensing and measurements; Computation and processing; Enabling operations; Collective intelligence; and Global change. 

Deadline: On-going


NSF Condensed Matter and Materials Theory (CMMT)

Link: https://www.nsf.gov/pubs/2022/nsf22610/nsf22610.htm
Limited Submission: No

Description

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. 

Deadline: On-going


NSF Sustained Availability of Biological Infrastructure (SABI) Core Program

Link: https://www.nsf.gov/pubs/2019/nsf19569/nsf19569.htm?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The Sustained Availability of Biological Infrastructure program (SABI) supports the continued operation of extant infrastructure that will advance basic biological research. Infrastructure supported under this program may include cyberinfrastructure, instrumentation, experimental or observational facilities, biological living stocks which have ongoing costs of operation and maintenance that exceed the reasonable capacity of the host institution. Proposals must make a compelling case that sustained availability of the proposed infrastructure will advance or transform research in biological sciences as supported by the National Science Foundation.  

Deadline:  On-going


NSF Dear Colleague Letter: Supporting Data and Sample Reuse in Polar Research

Link: https://www.nsf.gov/pubs/2021/nsf21041/nsf21041.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

OPP encourages submission of proposals that leverage existing data, physical samples, and non-physical samples (e.g., films, recordings, etc.), as well as those that facilitate the reuse of existing data. Proposals that align with this DCL can be submitted to the current Antarctic and Arctic solicitations. Principal Investigators are encouraged to contact the relevant Program Officer(s) to discuss the scope and size of proposals. 

Deadline: On-going


NSF Research Coordination Networks (RCN)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=11691
Limited Submission: No

Description

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.  

Deadline:  On-going


NSF Dear Colleague Letter: Supporting Use of Existing Data and Samples in Atmospheric Sciences Research and Education

Link: https://www.nsf.gov/pubs/2021/nsf21064/nsf21064.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

With this DCL, the atmospheric science and education programs are highlighting interest in and encourage the submission of proposals that leverage existing data and physical samples in alignment with the goals of our programs. Categories of research in response to this DCL include: Analysis of existing field or laboratory data, or physical samples; Data curation and rescue; Data integration and synthesis; Development of new research avenues and methodologies for analyzing existing data and physical samples; and Development of educational curriculum that uses data sets obtained through field campaigns, laboratory experiments, physical samples, or other unique data sets. 

Deadline: On-going


DOD-ARO LPS Qubit Collaboratory (LQC)

Link: https://www.grants.gov/web/grants/view-opportunity.html?oppId=332894
Limited Submission: No

Description

The mission of the LQC can be captured in three broad goals: 1) pursue disruptive fundamental research and enabling technologies with a focus on qubit development for quantum computing and other applications (such as sensing); 2) grow deep, collaborative partnerships to tackle the most difficult and relevant long-term problems in quantum information science and technology; and 3) build a quantum workforce of tomorrow through research experiences in government at LPS and at LQC partners. The LQC will offer a mechanism for collaborative research between LPS and academia, industry, FFRDCs, and Government Laboratories to advance foundational and transformative research on challenging problems that have hindered progress in quantum information processing and associated technologies. 

Deadline: On-going


Dear Colleague Letter: Advancing Discovery with AI-Powered Tools (ADAPT) in the Mathematical and Physical Sciences

Link: https://www.nsf.gov/pubs/2021/nsf21080/nsf21080.jsp
Limited Submission: No

Description

This Dear Colleague Letter (DCL) welcomes proposals for the development or new application of AI-inspired tools and techniques, with opportunities in, but not limited to, four focus areas: (i) modeling and simulation, (ii) data and model analytics, (iii) concept discovery, and (iv) physical systems/experimentation. Successful proposals will advance MPS science goals and at least one of the focus areas.

The Directorate for Mathematical and Physical Sciences welcomes proposals for large and small projects addressing complex problems at the frontiers of AI, that align with current divisional interests. Projects that establish new collaborations between academia and industry, broaden participation, train an AI-aware workforce, or promote interdisciplinary activities are especially encouraged. Proposals that promote collaboration among MPS domain sciences and researchers with AI expertise will be prioritized.

For further information on this DCL, please contact one of the following cognizant Program Directors:


NSF Computational and Data-Enabled Science and Engineering (CDS&E)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505920
Limited Submission: No

Description

The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any area of research supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. 

Deadline: varies by program


NSF Cyberinfratstructure Centers for Excellence (CI CoE)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505744&WT.mc_id=USNSF_25&WT.mc_ev=click
Limited Submission: No

Description

The Nations advanced research cyberinfrastructure (CI) ecosystem catalyzes discovery and innovation across all areas of science and engineering (S&E) research and education. The increasingly complex and rapidly evolving S&E landscape requires an agile, integrated, robust, trustworthy, and sustainable CI ecosystem that will drive new thinking and transformative discoveries in all areas of research and education.

The success of this vision depends on the ability of the research community to be able to easily and effectively access and use state-of-the-art research CI resources and services in a timely way. This, in turn, drives a set of requirements on the development, operation, and evolution of the CI ecosystem. First, research CI resources and services must be designed to leverage and drive innovations, and they must be user-centric and interoperable to enable the efficient, flexible end-to-end discovery pathways that are increasingly essential for the conduct of research. Second, the information, expertise, and services needed to maximally utilize the CI ecosystem must be disseminated broadly and concertedly to the research community.

The NSF Cyberinfrastructure Centers of Excellence (CI CoE) Program aims to realize the above vision by supporting hubs of expertise and innovation targeting specific areas, aspects, or stakeholder communities of the research CI ecosystem. Supported CI CoEs provide expertise and services related to CI technologies and solutions; gather, develop, and communicate community best practices; and serve as readily-available resources for both the research community and the CI community. A key objective of this program is to support CI CoEs that drive advancements in and positively impact the CI ecosystem through structured but strongly community-engaging and community-serving approaches. Overall, CI CoEs are a means of concentrating resources on a specific area of identified need in support of the broader goal of advancing capabilities and performance of the national CI ecosystem [1].

Activities. Successful CI CoE projects will perform a range of functions such as:

  • Exploring emerging technologies, disruptions, opportunities, and community needs, and developing proactive design and adoption strategies, practices, and other approaches in response;
  • Nurturing communities of stakeholders and experts in their area(s) of focus (foci) with the overall goal of achieving self-sustaining communities of practice; and
  • Providing services, training, and outreach to target communities.

Topics and Pathways. NSF anticipates creating such CI CoEs in response to specific needs and gaps. NSF anticipates issuing Dear Colleague Letters to indicate interest in pilot CI CoE proposals on particular focus areas. NSF may initially invest in two-year pilot CI CoE projects which aim to develop concepts and plans and demonstrate feasibility through pilot activities as preparatory precursors to eventual proposals for establishing full-scale CI CoEs. The level of support for pilot CI CoE projects is expected to vary, based on the topic and range of activities proposed.

Lifecycle and expected endpoint. CI CoEs are typically expected to operate for five years and may be renewed, subject to the outcome of performance reviews, NSF prioritization, continuing demonstrated need for the CI CoE, and availability of funds, consistent with NSF merit review principles.

Guidance to proposers. Individuals interested in submitting a proposal for a CI CoE project must first discuss their project idea with the cognizant CI CoE Program Director(s) in the relevant areas prior to submission and indicate the occurrence of such a discussion as a Supplementary Document in the eventual proposal. Proposals submitted without such documented prior discussion will be returned without review.


NSF Foundational Research in Robotics (Robotics)

Link: https://nsf.gov/funding/pgm_summ.jsp?pims_id=505784
Limited Submission: No

Description

The focus of the Robotics program is on foundational advances in robotics. Robotics is a deeply interdisciplinary field, and proposals are encouraged that explore the full range of fundamental engineering and computer science research challenges arising in robotics. However, all proposals must convincingly explain how a successful outcome will enable transformative new robot functionality or substantially enhance existing robot functionality. The proposal should clearly articulate how the intellectual contribution of the proposed work addresses fundamental gaps in robotics.  

 

Deadline:  Anytime after August 1, 2020

Dear Colleague Letter


NSF Cyberinfrastructure for Emerging Science and Engineering Research (CESER)

Link: https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505385
Limited Submission: No

Description

The CESER program aims to catalyze new science and engineering discovery pathways through early-stage collaborative activities between disciplinary scientists and engineers as well as developers/implementers of innovative cyberinfrastructure (CI) capabilities, services, and approaches.  A central feature of successful CESER projects is a strong, mutually-dependent collaborative team comprising expertise in the target science/engineering discipline(s) and expertise in CI development and implementation. 

 

Deadline:  On-going

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