National Science Foundation (NSF)

NSF 24-608: Safety, Security, and Privacy of Open-Source Ecosystems (Safe-OSE)

Apply to Internal Competition // Limit: 2 // Tickets Available: 2

Limiting Language 
Up to two (2) preliminary proposals per lead organization are allowed. NSF will review the preliminary proposals and provide a binding "Invite" or "Do Not Invite" response for each preliminary proposal. Invited organizations will be allowed to submit a full proposal on the project described in the preliminary proposal by the full proposal submission deadline.

Description
Vulnerabilities in an open-source product and/or its continuous development, integration and deployment infrastructure can potentially be exploited to attack any user (human, organization, and/or another product/entity) of the product. To respond to the growing threats to the safety, security, and privacy of open-source ecosystems (OSEs), NSF is launching the Safety, Security, and Privacy for Open-Source Ecosystems (Safe-OSE) program. This program solicits proposals from OSEs, including those not originally funded by NSF’s Pathways to Enable Open-Source Ecosystems (POSE) program, to address significant safety, security, and/or privacy vulnerabilities, both technical (e.g., vulnerabilities in code and side-channels) and socio-technical (e.g., supply chain, insider threats, and social engineering). 

Although most open-source products are software-based, it is important to note that Safe-OSE applies to any type of OSE, including those based on scientific methodologies, models, and processes; manufacturing processes and process specifications; materials formulations; programming languages and formats; hardware instruction sets; system designs or specifications; and data platforms. The goal of the Safe-OSE program is to catalyze meaningful improvements in the safety, security, and privacy of the targeted OSE that the OSE does not currently have the resources to undertake. Funds from this program should be directed toward efforts to enhance the safety, security, and privacy characteristics of the open-source product and its supply chain as well as to bolster the ecosystem’s capabilities for managing current and future risks, attacks, breaches, and responses.

Funding Type
Internal Deadline
External Deadline
1/13/2025
Solicitation Type

NSF 25-514: NSF Scholarships in Science, Technology, Engineering, and Mathematics Program (S-STEM) (Tracks 2 and 3 only)

Apply to Internal Competition // Limit: 2 // Tickets Available: 1* (see limiting language section below for disciplinary eligibility restrictions)

R. Deil-Amen (Competitive Resubmission)

Limiting Language 
Please note, in accordance to the updated eligibility criteria, the University of Arizona is only eligible for tracks 2 and 3. Per S-STEM restrictions and current U of A S-STEM projects and proposals, applicants may not target STEM students in the following disciplines: Engineering, computer science, information science. Any other S-STEM eligible discipline may be included.

For a given S-STEM deadline, an institution may submit up to two proposals in which it will be directly involved in providing scholarships. Multiple proposals from an institution must not overlap with regard to S-STEM eligible disciplines. See Additional Eligibility Information below for more details (see IV. Eligibility Information).

Institutions with a current S-STEM award should wait at least until the end of the third year of execution of their current award before submitting a new Track 2 or Track 3 S-STEM proposal focused on students pursuing degrees in the same discipline(s).

Program Overview 
The main goal of the S-STEM program is to enable academically talented, low-income students to pursue successful careers in promising STEM fields. Ultimately, the S-STEM program seeks to increase the number of academically promising low-income students who graduate with an S-STEM eligible degree and contribute to the American innovation economy with their STEM knowledge. Recognizing that financial aid alone cannot increase retention and graduation in STEM, the program provides awards to institutions of higher education (IHEs) not only to fund scholarships, but also to adapt, implement, and study evidence-based curricular and co-curricular[a] activities that have been shown to be effective in supporting recruitment, retention, transfer (if appropriate), student success, academic/career pathways, and graduation in STEM.

To be eligible, scholars must be domestic low-income students with academic ability, talent, or potential and demonstrated unmet financial need who are enrolled in an associate, baccalaureate, or graduate degree program in an S-STEM eligible discipline. Proposers must provide an analysis that articulates the characteristics and academic needs of the population of students they are trying to serve. NSF is particularly interested in supporting the attainment of degrees in fields identified as critical needs for the Nation. It is up to the proposer to make a compelling case that such a field serves a critical need in the United States.

[a] an activity at a school or college pursued in addition to the normal course of study.

S-STEM Eligible Degree Programs

Associate of Arts, Associate of Science, Associate of Engineering, and Associate of Applied Science

Bachelor of Arts, Bachelor of Science, Bachelor of Engineering and Bachelor of Applied Science

Master of Arts, Master of Science, and Master of Engineering

Doctoral (Ph.D. or other comparable doctoral degree)

S-STEM Eligible Disciplines

Disciplinary fields in which research is funded by NSF, including technology fields associated with the S-STEM-eligible disciplines (e.g., biotechnology, chemical technology, engineering technology, information technology, etc.).

The following degrees and disciplines are excluded:

  • Clinical degree programs, including medical degrees, nursing, veterinary medicine, pharmacy, physical therapy, and others not funded by NSF, are ineligible degrees.
  • Programs for STEM teacher certification or licensure currently covered by the Robert Noyce Teacher Scholarship program (NOYCE) are ineligible for S-STEM funding.
  • Business school programs that lead to Bachelor of Arts or Science in Business Administration degrees (BABA/BSBA/BBA) are not eligible for S-STEM funding.
  • Masters and Doctoral degrees in Business Administration are also excluded.

Proposers are strongly encouraged to contact Program Officers before submitting a proposal if they have questions concerning degree or disciplinary eligibility.

The S-STEM program particularly encourages proposals from 2-year institutions, predominately undergraduate institutions, and urban, suburban, and rural public institutions.

Research Category
Funding Type
Internal Deadline
External Deadline
3/3/2026
Solicitation Type

NSF 25-546: Foundations for Operating the National Artificial Intelligence Research Resource: the NAIRR Operations Center (NAIRR-OC)

Apply to Internal Competition // Limit: 1 // Tickets Available: 1

Limiting Language
An organization may only serve as the submitting organization for one proposal to this competition.

Program Synopsis
The National Artificial Intelligence Research Resource (NAIRR) Pilot is a pioneering public-private initiative to catalyze a competitive national artificial intelligence (AI) ecosystem for discovery and innovation by connecting U.S. researchers and educators to the most advanced public and private-sector computational and data platforms, datasets, software, AI models, and technological expertise necessary to accelerate AI-driven discovery and innovation. Beginning in January 2024, U.S. National Science Foundation (NSF) – together with 14 other federal agencies and 28 private sector partners – established the NAIRR Pilot, which has immediately advanced innovative AI and science research and accelerated AI workforce training and education. As recommended by America's AI Action Plan, the NAIRR Operations Center (NAIRR-OC) will serve as a lean and sustainable operations capability and be the focal point for operational transition from the current Pilot towards a sustainable long-term NAIRR.

This solicitation seeks proposals to establish a community-based organization that will be responsible for the foundational visioning, coordination, operations, and development activities in support of an integrated national infrastructure for AI research and education. The resulting award would advance the National Artificial Intelligence Research Resource (NAIRR) vision for a public-private partnership to accelerate AI innovation and national competitiveness. This NAIRR Operations Center (NAIRR-OC) will be responsible for the following overarching goals and responsibilities:

  • Organizational leadership: Establishing the operational framework, organizational management, and success metrics for the NAIRR and its successful operations according to the vision, goals, and requirements established by the NSF and other federal partners.
  • Building NAIRR capabilities and community: Undertaking specific development activities in support of NAIRR stakeholders, including interfacing with partner organizations and resources, deploying a unified web portal, integrating data-focused and other resources into the NAIRR, and conducting outreach and community building activities.
  • Interfacing with Pilot Operations: Coordinating with existing NAIRR Pilot contributing partners and interfacing with the independently supported teams conducting NAIRR Pilot operational functions, while developing tailored plans to execute such functions via the NAIRR-OC in the future.

NSF anticipates making a single award for this competition. NSF will provide oversight of award activities via the NAIRR Program Management Office (PMO) which may include representatives from partnering agencies. The awardee from this competition may be eligible for expansion of operational responsibilities and duties in a future phase, depending on NAIRR priorities, awardee performance and availability of funds.

Funding Type
Internal Deadline
External Deadline
12/15/2025 (LOI), 2/4/2026 (Full Proposal)
Solicitation Type

NSF 25-544: Integrated Data Systems & Services

Limit: 2* // Tickets Available: 0

Category I: J Chen (Electrical and Computer Engineering)
Category II: T. Swetnam (CAIO Institute) 

Limiting Language*
An organization may submit only one proposal as lead institution for each of Category I and Category II for each solicitation deadline but may be a subawardee on other Category I and II 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 data infrastructure resource. This restriction does not apply to Category III proposals. 

Program Synopsis
The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data-intensive and artificial intelligence-driven science and engineering research, innovation, and education.

Through this solicitation, the IDSS program is accepting proposals for three categories of projects:

  • Category I. Development, deployment, and operation of novel national-scale integrated data systems and services, which may include interfacing with or leveraging other existing capabilities, systems and services, as appropriate to the project;
  • Category II.  Transition of established smaller scale, regional, pilot, or prototype data-focused systems and services to national-scale production/operational quality/level. This may also include enhancement and expansion of existing national-scale data-focused operational systems and services; and
  • Category III. Planning grants for future potential development/deployment or transition/enhancement IDSS projects. 

NSF and the Office of Advanced Cyberinfrastructure (OAC) have long supported the development of innovative foundational and application-specific cyberinfrastructure resources and systems to address data-intensive research needs at the campus, regional, and community scales, through programs such as Cyberinfrastructure for Sustained Scientific Innovation (CSSI), Campus Cyberinfrastructure (CC*), and other investments. The primary goal of the IDSS program is to support national-scale foundational data cyberinfrastructure that broadly enables data- and artificial intelligence-driven research for many communities. The IDSS program supports foundational transdisciplinary and demonstrably multi-disciplinary projects aimed to broadly impact the science and engineering research and education community. Projects that aim to primarily benefit a single science discipline, domain, project, or application are not supported.

It is recommended that prospective PIs contact program officer(s) from the list of Cognizant Program Officers to gain insight about alignment of their project ideas with the priorities of the IDSS program and Office of Advanced Cyberinfrastructure. As part of contacting Cognizant Program Officers, prospective PIs are also encouraged to ascertain that the focus and budget of their proposed work are appropriate for this solicitation.

NSF 25-541: Test Bed: Toward a Network of Programmable Cloud Laboratories

Limit: 1 // Tickets Available: 0
M. Beidaghi (Aerospace and Mechanical Engineering)

Limiting Language
An institution may submit only a single proposal in response to this solicitation, as the lead institution.

If more than one proposal is submitted from an institution, the first proposal submitted from that institution will be considered, and remaining proposals will be returned without review.

An institution may serve as a non-lead institution on more than one proposal.

Synopsis of Program
Autonomous experimentation is poised to accelerate research and unlock critical scientific advances that bolster U.S. competitiveness and address pressing societal needs. Programmable Cloud Laboratories are able to execute automated workstreams, including self-driving lab workflows, to efficiently move research goals through artificial intelligence (AI) enabled experiment design, laboratory preparations, data collection, data analysis and interpretation. While limited-scale efforts have shown promise, versatile programmable and self-driving labs capable of addressing complex research questions with trustworthy results will require coordinated technological advances and an engaged research community. Additional challenges include the availability of automated laboratory infrastructure, standardized approaches to data collection for interoperability, advances in AI for data interpretation and experimental design, and more. This solicitation aims to address such gaps and realize the potential of autonomous experimentation.

The Test Bed: Toward a Network of Programmable Cloud Laboratories (PCL Test Bed) program seeks to establish and facilitate the operation of distributed autonomous laboratory facilities. These laboratories will combine technological and human capacity to enable integration, testing, evaluation, validation, and translation of cutting-edge technology solutions in automated science and engineering. The PCL Test Bed will consist of a set of Programmable Cloud Laboratory Nodes (PCL Nodes) that can be remotely accessed to run custom workflows specified and programmed by users, that are linked together via computational networking, shared science questions, and data and artificial intelligence (AI) standards.

The PCL Test Bed will facilitate access to advanced scientific equipment, accelerate translation and scaling of basic research into industry applications, enhance reproducibility and the exchange of experimental data, and assist in training the next generation of scientists and engineers in state-of-the art methodologies. It will help develop community norms, best practices, and formal standards for automated laboratory procedures, workflows, and instrument testing and validation. It will also advance consistent practices for the collection, sharing, and use of metadata and training data and the use and exploitation of AI methods. This program will also support the development of automated laboratory methods, including self-driving autonomous experiment workflows.

Proposals must have a set of well-defined science drivers poised to derive significant benefit from targeted use of the PCL Test Bed capabilities, including but not limited to synthesis, optimization, and/or characterization experiments, in specific sub-disciplines within materials science, biotechnology, chemistry or other areas of science and engineering. These science drivers will guide the protocols and standards necessary for each node and facilitate collaboration across the Test Bed. For example, science drivers could include but are not limited to:

  • Materials science, materials synthesis and characterization efforts that advance U.S. competitiveness.
  • Biotechnology experiments in scalable, high-throughput engineering and characterization services for proteins or microbes with novel applications in the U.S. bioeconomy.
  • High-throughput experimentation for the accelerated development of catalysts to support more efficient chemical synthesis to address urgent national needs.

User Recruitment and On-Boarding Workshops will be a key component of the PCL Test Bed program and will serve to recruit users to individual PCL Nodes and the Test Bed to help make progress on the proposed science drivers, provide access to technology, test the limits of the experimental set-up of the nodes, and explore new research opportunities between the PCL Nodes and institutions including, but not limited to, R2 Universities, PUI (Primarily Undergraduate Institutions), and two-year institutions.

The PCL Test Bed will be available to researchers in academia as well as industry, including current and former awardees from the Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) programs. The portfolio of projects is available here, https://seedfund.nsf.gov/portfolio.

PCL Nodes are expected to develop and implement plans for continued operation after the period of this award.

NSF 23-536: Scholarships in STEM Network (S-STEM-Net) S-STEM Research Hubs

Limit: 1 // Tickets Available: 0 

K. Sierra (Undergraduate Research; Competitive Resubmission)

Limiting Language
An organization may submit at most one S-STEM-Hub proposal (as a single institution, a subawardee, or a member of a collaborative research project).

Program Synopsis
Through this solicitation, NSF seeks to foster a network of S-STEM stakeholders and further develop the infrastructure needed to generate and disseminate new knowledge, successful practices and effective design principles arising from NSF S-STEM projects nationwide. The ultimate vision of the legislation governing the S-STEM parent program[1] (and of the current S-STEM-Net solicitation) is that all Americans, regardless of economic status, should be able to contribute to the American innovation economy if they so desire.

To support collaboration within the S-STEM network, NSF will fund several S-STEM Research Hubs (S-STEM-Hub). The S-STEM Network (S-STEM-Net) will collaborate to create synergies and sustain a robust national ecosystem consisting of multi-sector partners supporting domestic low-income STEM students in achieving their career goals, while also ensuring access, inclusion, and adaptability to changing learning needs. The Hubs will investigate evolving barriers to the success of this student population. It will also disseminate the context and circumstances by which interventions and practices that support graduation of domestic low-income students (both undergraduate and graduate) pursuing careers in STEM are successful.

The target audience for this dissemination effort is the community of higher education institutions, faculty, scholars, researchers and evaluators, local and regional organizations, industry, and other nonprofit, federal, state, and local agencies concerned with the success of domestic low-income STEM students in the United States.

Research Category
Funding Type
Internal Deadline
External Deadline
8/14/2025
Solicitation Type

NSF 23-574: 2024 CyberCorps(R) Scholarship for Service (SFS): Defending America's Cyberspace

The University of Arizona is not eligible due to an active award // Limit: 1 // Tickets Available: 0


Limiting Language
Each performing organization is limited to one (1) proposal per annual SFS competition. Institutions with an active SFS scholarship project must wait at least (a) until they are within 24 months from the current SFS award's end date, and (b) until they have used at least 70 percent of their budget, before submitting another SFS proposal.

Potential PIs are advised to contact their institutional office of research regarding processes used to select proposals for submission.

Internal Deadline
External Deadline
7/15/2025
Solicitation Type

NSF 23-519: Major Research Instrumentation (MRI) Program

7/1/2025 Update: The NSF MRI program will NOT be accepting proposals for the 2025 deadlines/target date. For more information, please visit this link.

Eligibility

  • No more than two submissions in Track 1 (Track 1 MRI proposals are those that request funds from NSF greater than or equal to $100,000 and less than $1,400,000).
  • No more than one submission in Track 2 (Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000).
  • Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,000 and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.


Program Synopsis
The Major Research Instrumentation (MRI) Program (MRI Program Website) serves to increase access to multi-user scientific and engineering instrumentation for research and research training in our Nation's institutions of higher education and not-for-profit scientific/engineering research organizations. An MRI award supports the acquisition of a multi-user research instrument that is commercially available through direct purchase from a vendor, or for the personnel costs and equipment that are required for the development of an instrument with new capabilities, thereby advancing instrumentation capabilities and enhancing expertise for instrument design and fabrication at academic institutions. MRI instruments are, in general, too costly and/or not appropriate for support through other NSF programs.

MRI provides support to acquire critical research instrumentation without which advances in fundamental science and engineering research may not otherwise occur. MRI also provides support to obtain next-generation research instruments by developing instruments with new capabilities that open new opportunities to advance the frontiers in science and engineering research. Additionally, an MRI award is expected to enhance research training of students who will become the next generation of instrument users, designers and builders.

An MRI proposal may request from NSF up to $4 million for either acquisition or development of a research instrument. Each performing organization may submit in revised "Tracks" as defined below, with no more than two (2) submissions in Track 1 and no more than one (1) submission in Track 2. For the newly defined Track 3, no more than one (1) submission per competition is permitted. As a result, it is now possible for an institution to submit up to four MRI proposals within the Track limits as described above.

  • Track 1: Track 1 MRI proposals are those that request funds from NSF greater than $100,0001 and less than $1,400,000.
  • Track 2: Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000.
  • Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,0001 and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.

Cost sharing requirements for new awards in the MRI Program are waived for a period of 5 years beginning with the FY 2023 MRI competition. Institutional submission limits for Track 1, Track 2 and Track 3 proposals remain.

The MRI Program especially seeks broad representation of groups, institutions, and geographic regions that are underrepresented in STEM disciplines. Proposals from women, underrepresented minorities, persons with disabilities and early-career PIs are encouraged, as are proposals that benefit early-career researchers and proposals with PIs from geographically under-served regions, including EPSCoR jurisdictions. Additionally, proposals are encouraged from under-resourced institutions, including from emerging research institutions, where MRI can significantly build capacity for research.
 

 

Internal Deadline
External Deadline
11/14/2025
Solicitation Type

NSF 24-562: 2025 Centers of Research Excellence in Science and Technology - Research Infrastructure for Science and Engineering (CREST-RISE)

The University of Arizona is not eligible for this opportunity. For more information, please contact RDS. 

Research Category
Funding Type
Internal Deadline
External Deadline
8/1/2025
Solicitation Type

NSF 24-597: U.S. National Science Foundation Research Traineeship Program

8/21/2025 Update: This program is awaiting a new solicitation and is not currently accepting proposals.

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.

Research Category
Internal Deadline
External Deadline
9/8/2025
Solicitation Type