Limit: 2 // Tickets Available: 0 (Track 1 only)
G. Chism (College of Information Science)
T. Robinson (Lunar and Planetary Lab)
Eligibility
An eligible IHE may participate in only two (2) proposals per NRT competition as lead or collaborative nonlead. All Track 1 and/or Track 2 NRT proposals will be counted toward this total limit of two proposals per institution.
Participation includes serving as a lead institution or a non-lead institution (i.e., as part of a separately submitted collaborative proposal or as a sub-recipient) on any proposal. Organizations participating only as evaluators on projects are excluded from this limitation. Planning proposals, described in Section II, Program Description, are also excluded from this limitation. Proposals that exceed the organizational eligibility limit will be returned without review regardless of whether the institution on such a proposal serves as lead or non-lead collaborative institution. Potential PIs are advised to contact their institutional office of research regarding processes used to select proposals for submission.
Proposals may only be submitted by the following:
Track 1: All Institutions of Higher Education (IHEs) accredited in, and having a campus located in the US, acting on behalf of their faculty members and that award a research-based master's degree and/or a doctoral degree in STEM disciplines supported by the U.S. National Science Foundation. Track 2 and
Track 2 Planning Grants: Institutions of Higher Education (IHEs) accredited in, and having a campus located in the US, acting on behalf of their faculty members that award a research-based master's degree and/or a doctoral degree in STEM disciplines supported by the U.S. National Science Foundation including: Master's Colleges and Universities and D/PU Doctoral/Professional Universities that award fewer than 20 research/scholarship doctoral degrees and Doctoral Universities: High Research Activity (R2, as defined in the Carnegie classification of higher education institutions). Doctoral Universities: Very High Research Activity (R1) are not eligible for Track 2 consideration. The University of Arizona is not eligible for Track 2.
Program Synopsis
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, as described in section II.D below. The NRT program addresses workforce development, emphasizing broad participation, and institutional capacity building needs in graduate education. The program encourages proposals that involve strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science centers, and academic partners. NRT especially welcomes proposals that reflect collaborations between NRT proposals and existing NSF Eddie Bernice Johnson Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) Initiative, Undergraduates (REU), Louis Stokes Alliances for Minority Participation (LSAMP), Science, Technology, Engineering, and Mathematics (S-STEM), and Research Experiences for NSF Scholarships in NSF STEM Ed Organizational Postdoctoral Fellowship program (STEM Ed OPRF) projects, provided the collaboration will strengthen both projects. Researchers at minority serving institutions and emerging research institutions are strongly encouraged to submit proposals. Collaborations between NRT proposals and existing NSF INCLUDES projects should strengthen both NRT and INCLUDES projects.
Limit: 1 // Tickets Available: 0
C. Chan (Astronomy & Steward Observatory)
Please note that this is for category II submissions only (see program synopsis), category I submissions were due to NSF October 29, 2024.
Eligibility
An organization may submit only one proposal per each competition specified in this solicitation but may be a subawardee on other proposals responding to this solicitation. The restriction to no more than one submitted proposal as lead institution is to help ensure that there is appropriate institutional commitment necessary for responsible oversight, by the potential recipient institution, of a national resource.
Collaborative projects may only be submitted as a single proposal in which a single award is being requested (PAPPG Chapter II.E.3.a). The involvement of partner organizations should be supported through subawards administered by the submitting organization.
These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently. In the event that an organization exceeds this limit, the proposal received within the limit will be accepted based on the earliest date and time of proposal submission (i.e., the first proposal received will be accepted and the remainder will be returned without review). No exceptions will be made.
Program Synopsis
The intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program. Resource providers would (1) provide advanced cyberinfrastructure (CI) resources in production operations to support the full range of computation, data-analysis, and AI research across all of science and engineering (S&E), and (2) enable democratized and equitable access to the proposed resources. The current solicitation is intended to complement previous NSF investments in advanced computational infrastructure by provisioning resources, broadly defined in this solicitation to include systems and services, in two categories:
Four tracks, see limits below:
HSI Initiatives must coordinate the submission for the Institutional Transformation Track or future Resource Hubs proposals. If you are interested in this funding opportunity, please contact Riley McIsaac.
Limit: 1 // Tickets Available: 0
Q. Hao (Aerospace & Mechanical Engineering)
Eligibility
One (1) per organization as lead institution.
The institutions that were awarded a MIP in the 2019 competition as the lead institution are not eligible to submit a MIP proposal as a lead institution in the 2025 competition.
Synopsis
Materials Innovation Platforms (MIP) is a mid-scale infrastructure program in the Division of Materials Research (DMR) designed to accelerate advances in materials research. MIPs respond to the increasing complexity of materials research that requires close collaboration of interdisciplinary and transdisciplinary teams and access to cutting edge tools. These tools in a user facility benefit both a user program and in-house research, which focus on addressing grand challenges of fundamental science and meet national needs. MIPs embrace the paradigm set forth by the Materials Genome Initiative (MGI), which strives to “discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost,” and conduct research through iterative “closed-loop” efforts among the areas of materials synthesis/processing, materials characterization, and theory/modeling/simulation. In addition, they are expected to engage the emerging field of data science in materials research. Each MIP is a scientific ecosystem, which includes in-house research scientists, external users and other scientists who, collectively, form a community of practitioners and share tools, codes, samples, data and know-how. The knowledge sharing is designed to strengthen collaborations among scientists and enable them to work in new ways, fostering new modalities of research and training, for the purpose of accelerating discovery and development of new materials and novel materials phenomena/properties, as well as fostering their eventual deployment.
The scientific focus of the MIP program is subject to change from competition to competition. Information about the existing MIPs, from two previous competitions in 2015 and 2019, can be found at mip.org. The third MIP competition, in 2025, will accept proposals on alloys, amorphous, and composite materials. Given that the second MIP competition included an emphasis on biomaterials and polymer research, proposals mainly on these topics will not be considered in the third MIP competition.
Limit: 1 // Tickets Available: 0
S. Tin (Materials Science & Engineering) - Competitive Resubmission
Program Synopsis:
The Materials Research Science and Engineering Centers (MRSECs) program provides sustained support of materials research and education of the highest quality while addressing fundamental problems in science and engineering. Each MRSEC addresses research of a scope and complexity requiring the scale, synergy, and multidisciplinarity provided by a campus-based research center. The MRSECs support materials research infrastructure in the United States, promote active collaboration between universities and other sectors, including industry and international organizations, and contribute to the development of a national network of university-based centers in materials research, education, and facilities. A MRSEC may be located at a single institution, or may involve multiple institutions in partnership, and is composed of two to three Interdisciplinary Research Groups (IRGs), each addressing a fundamental materials science topic aligned with the Division of Materials Research (DMR).
Eligibility:
Only one MRSEC preliminary proposal may be submitted by any one organization as the lead institution in this competition. An institution proposing research in several groups should submit a single MRSEC proposal with multiple Interdisciplinary Research Groups (IRGs). A MRSEC proposal must contain a minimum of 2 IRGs and a maximum of 3 IRGs. The IRGs in a Center may be thematically related, or they may address different aspects of materials research typically supported by DMR. Integration of multiple, differing IRGs into one MRSEC allows efficient utilization of resources, including common infrastructure, and better coordination of education and other activities of the Center.
Institutions that were awarded a MRSEC in the FY 2023 competition as the lead institution are not eligible to submit a MRSEC proposal as a lead institution in this competition.
MRSEC full proposals may be submitted by invitation only.
Limit: 2 // Tickets Available: 0
J. Schaibley (Physics)
I. Djordjevic (Electrical & Computer Engineering)
Subcontract/Non-lead organizational Proposals // Not Limited
D. Hahn (Engineering) - subcontract to the University of Oklahoma
Limit on Number of Proposals per Organization: 2
Limitations on the number of proposals per organization do not apply to the Letters of Intent.
Lead organizations are limited to submit no more than two (2) Challenge Institute Preliminary Proposals. Lead organizations are limited to submit no more than two (2) invited Challenge Institute Full Proposals. Multi-institutional Challenge Institute proposals must be submitted as a single proposal by a single lead organization; separately submitted collaborative proposals are not permitted.
Letter of Intent Due Date(s) (required) (due by 5 p.m. submitting organization's local time):
February 07, 2025
Preliminary Proposal Due Date(s) (required) (due by 5 p.m. submitting organization's local time):
March 07, 2025
Full Proposal Deadline(s) (due by 5 p.m. submitting organization's local time):
September 17, 2025
Synopsis of Program:
Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects motivated by major challenges at the frontiers of quantum information science and technology (QIST). Institutes are expected to catalyze breakthroughs on important problems underpinning QIST, for example in the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. Successful institutes will coordinate a variety of approaches to specific scientific, technological, and educational goals in these fields, including multiple institutions and building upon multiple disciplines, as motivated by the science and engineering challenges. In so doing, Institutes will nurture a culture of discovery, provide education, training, and workforce development opportunities in the context of cutting-edge research, and demonstrate value-added from synergistic coordination within the institute and with the broader community. Partnerships, infrastructure, industry engagement, outreach, international collaboration, and new applications for QIST should be fostered by Institutes in support of their research, education, and coordination goals.
The QLCI program can support awards to continue existing Quantum Leap Challenge Institutes or to establish and operate new Quantum Leap Challenge Institutes. In either case, proposers should follow the same guidance for Challenge Institute proposal preparation described in this solicitation. While this is a crosscutting program, proposals responding to this solicitation must be submitted to the Office of Strategic Initiatives (OSI) in the Directorate of Mathematical and Physical Sciences (MPS). They will subsequently be managed by a cross-disciplinary team of NSF Program Directors.
The QLCI program enables NSF multidisciplinary centers for quantum research and education as called for in the National Quantum Initiative (NQI) Act1 and an NQI Advisory Committee report, Renewing the National Quantum Initiative: Recommendations for Sustaining American Leadership in Quantum Information Science2.In alignment with the NQI Act, Quantum Leap Challenge Institutes shall pursue research at the frontiers of quantum information science, engineering, and technology, and explore solutions to important challenges for the development, application, commercialization, and pioneering use of quantum technologies. QLCI Institutes shall also lead education, training, and workforce development activities as may be needed for sustained leadership in QIST and related topics. Coordination both within each Institute and with new partners and the broader ecosystem should also serve to galvanize the community and catalyze the research and education activities in ways that go beyond what smaller projects could accomplish in isolation.
Limit: 5 // Tickets Available: 1
B. LeRoy (Physics)
V. Yurkiv (Aerospace and Mechanical Engineering)
J. Bredas (Chemistry & Biochemistry)
Z. Mutlu (Materials Science & Engineering)
Limit on Number of Proposals per Organization: 5
Each organization is limited to serving as lead on five (5) DMREF proposals. In the event that an organization exceeds this limit, the proposals will be accepted based on their times of submission, whereas the rest of the proposals will be returned without review, without exception. There is no limit on the number of proposals in which an organization may serve in a Collaborative, non-lead role.
Limit on Number of Proposals per PI or co-PI: 1
No individual may appear as Senior/Key Personnel (PI, Co-PI, Faculty or Other Senior/Key Personnel) on more than one (1) DMREF proposal submitted in response to this solicitation. In the event that an individual exceeds this limit, any DMREF proposal submitted to this solicitation with this individual listed as Senior/Key Personnel after the rst DMREF proposal is received at NSF will be returned without review, without exception. Changes in investigator roles post-submission to meet the eligibility requirements will not be allowed. It is the responsibility of the submitters to con rm that the entire team is within the eligibility guidelines.
Program Description:
DMREF seeks to foster the design, discovery, and development of materials to accelerate their path to deployment by harnessing the power of data and computational tools in concert with experiment and 3theory. DMREF emphasizes a deep integration of experiments, computation, and theory; the use of accessible digital data across the materials development continuum; and strengthening connections among theorists, computational scientists, data scientists, mathematicians, statisticians, and experimentalists as well as those from academia, industry, and government. DMREF is committed to the education and training of a next-generation materials research and development (R&D) workforce; wellequipped for successful careers as educators and innovators; and able to take full advantage of the materials development continuum and innovation infrastructures that NSF is creating through partnership with other federal and international agencies.
Eligibility:
Who May Submit Proposals:
Proposals may only be submitted by the following: Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Who May Serve as PI:
By the submission deadline, any PI, co-PI, or other Senior/Key project personnel must hold either: A tenured or tenure-track position, or A primary, full-time, paid appointment in a research or teaching position with exceptions granted for family or medical leave, as determined by the submitting institution. 15An investigator who is a PI or co-PI of a DMREF award based on a proposal submitted in response to the previous DMREF Solicitation ( NSF 23-530) cannot be a PI or co-PI for this DMREF solicitation, but may serve as Senior/Key Personnel. Proposals violating this limitation will be returned without review.
Limit: 1 // Available: 0
M. Krunz (Electrical & Computer Engineering)
An organization may submit one proposal per submission window. An organization must wait for a determination from NSF (e.g., Award, Decline, or Returned Without Review) on the pending proposal before submitting a new proposal in the next window. Declined proposals require a new invitation to submit (via the Concept Outline process) and significant revision, while proposals Returned Without Review may be submitted using the same invited Concept Outline (assuming that the proposal is received within one year of the original Concept Outline invitation).
The Expanding AI Innovation through Capacity Building and Partnerships (ExpandAI) program is a multi-year program that aims to significantly diversify participation in AI research, education, and workforce development through capacity development and partnerships within the National AI Research Institutes ecosystem.
PROGRAM TRACKS
This program solicitation offers two Tracks corresponding to stages of readiness for partnerships in AI Institutes. These are “ExpandAI Capacity Building Pilots” and “ExpandAI Partnerships” as described below.
Track 1: ExpandAI Capacity Building Pilots
Capacity Building Pilots (CAP) are planning and growth efforts focused on the establishment of AI activities at the funded MSI and the early exploration of future synergistic partnerships that have the potential to be part of prospective ExpandAI Partnerships. Successful pilots will result in establishing new AI research capacity, education/workforce development in AI, and/or AI infrastructure capacity at the proposing institution and, potentially, a basis for future AI partnerships. CAP activities should plan for engaging appropriate communities to test the feasibility of partnerships as well as developing plans for continuing capacity development. Plans should consider required research infrastructure, plans to leverage established groups in related research areas, and inclusion of faculty training and research experiences that emphasize the diversification of investigators.
Proposals must articulate a clear vision motivating the capacity building activities, with a focus on long-term benefits to the MSI such as enhanced faculty capacity for foundational and/or use-inspired AI research or new effective models for increased education and career pathways in AI. Proposals to this track must include a strong Institutional Need and Support Statement (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, a demonstration of institutional need for capacity building in AI, and a statement of the commitment of institutional support for the proposed activities. Proposals that substantiate a strong case in this need and support statement are likely to be most compelling for the funding opportunity. Further guidance for this supporting document can be found in Proposal Preparation Instructions.
Successful proposals will feature a Capacity Building Plan that features clear and measurable outcomes/benefits of capacity building. Suitable activities for such a plan are:
Note that this list is representative of suitable activities and outcomes for this track. CAP activities need not be limited to this list, and proposals do not have to include every type of outcome represented in that list. Proposers are encouraged to select and integrate the activities most appropriate for their institutional context and their vision for capacity building toward partnerships.
Early partnership development between the proposing MSI and one or more AI Institutes is neither required nor encouraged in a CAP proposal.
Track 2: ExpandAI Partnerships
The ExpandAI Partnership (PARTNER) track is an opportunity for MSIs to scale up already-established AI research and/or education programs and to initiate/leverage new collaborations with AI Institutes. These partnerships will be multi-organization collaborations submitted by an MSI and will include a subaward to an AI Institute. PARTNER projects are centered around shared, complementary goals. Proposals will be submitted as single-organizational collaborative proposals. PARTNER proposals may only be submitted by a qualifying MSI as indicated in Eligible Institutions in this solicitation.
PARTNER proposals should scale up and make fully productive an appropriate existing capacity in AI research, education/workforce development, and/or infrastructure capacity. The proposing MSI in this track is not required to have previously been awarded a CAP project under this program. PARTNER proposals must constitute a significant new partnership that has the clear potential to build on the institution’s current AI capacity as well as leverage the intrinsic strengths and talents of the MSI for mutual benefit in collaborative AI activities.
MSIs applying for this track must demonstrate readiness to leverage external expertise and financial resources to focus on medium- and long-range plans to leverage this funding opportunity and new partnerships to develop AI capacity within the MSI, including but not limited to further development of the MSI’s envisioned methodological thrusts, use cases, educational and/or workforce development activities, and the potential for the MSI to expand and scale these efforts through formal, mutually beneficial partnerships. Proposals should include at least one (and if appropriate, more) established AI Institutes in developing a roadmap for collaborative work in some unifying theme or focus.
PARTNER proposals must feature a compelling Partnership Roadmap for collaborative work in some unifying theme or focus. Roadmaps are the beginning of a joint strategy between organizations for collaborative work. These roadmaps may also include community building activities (e.g., workshops) to further develop common interests, objectives, and goals for the growth of collaborative activities. Effective roadmaps are both depicted visually (e.g., conceptual diagram, logic model, table, etc.) and fully explained by a descriptive narrative. The roadmap should address all proposed projects involving research, education/workforce development, infrastructure, and any other types that are applicable to the collaboration. Roadmaps might address:
Note that this list is representative of suitable features of a Partnership Roadmap. Proposers may adapt this list and depict the roadmap in the way that best suits the unique vision of the PARTNER proposal.
Proposals to this track must include a strong Institutional Need and Support Statement from the proposing MSI (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, progress in AI capacity development and how that relates to the outlook for partnership development, and a demonstration of the commitment of institutional support for the proposed activities. In addition, each proposal to this track must include an Institute Integration Plan submitted by the collaborating institute demonstrating thoughtful and well-resourced commitment to coordination mechanisms that will bring together the various participants of the project. Further guidance for these supporting documents can be found in Proposal Preparation Instructions.
Tickets: 1 / Available: 0
C.K. Chan
The overarching goal of this solicitation is to democratize access to NSF’s advanced cyberinfrastructure (CI) ecosystem and ensure fair and equitable access to resources, services, and expertise by strengthening how Cyberinfrastructure Professionals (CIP) function in this ecosystem. It aims to achieve this by (1) deepening the integration of CIPs into the research enterprise, and (2) fostering innovative and scalable education, training, and development of instructional materials, to address emerging needs and unresolved bottlenecks in CIP workforce development. Specifically, this solicitation seeks to nurture, grow and recognize the national CIP [1] workforce that is essential for creating, utilizing and supporting advanced CI to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. Together, the principal investigators (PIs), technology platforms, tools, and expert CIP workforce supported by this solicitation operate as an interdependent ecosystem wherein S&E research and education thrive. This solicitation will support NSF’s advanced CI ecosystem with a scalable, agile, diverse, and sustainable network of CIPs that can ensure broad adoption of advanced CI resources and expert services including platforms, tools, methods, software, data, and networks for research communities, to catalyze major research advances, and to enhance researchers' abilities to lead the development of new CI.