National Science Foundation (NSF)

Limit: 1 (Scholarship Track - Innovation Track is not limited) // Tickets Available: 0 

PI TBA

Limiting Language
There is no restriction for the Innovation Track.

For the Scholarship Track, each performing organization is limited to one (1) proposal submitted for the same competition date. Institutions with an active CyberAI SFS scholarship project must wait until they are within 14 months of the current award's expected end date before submitting a new proposal.

Each institutional office of research may have internal processes used to select proposals for submission to the Scholarship Track

Program Synopsis
Government and the nation face a talent shortfall in artificial intelligence (AI) and cybersecurity. The CyberAICorps Scholarship for Service (CyberAI SFS) program welcomes proposals that address AI and cybersecurity education and workforce development. CyberAI refers to using AI in cybersecurity as well as providing security and resilience for AI systems.

• The Scholarship Track provides funding to establish, or to continue, scholarship for service programs with integrated AI and cybersecurity components (CyberAI). Scholarship recipients must be U.S. citizens or lawful permanent residents and work after graduation in the AI or cybersecurity mission of a government organization for a period of at least the length of the scholarship.
• The Innovation Track supports projects that enhance preparation of AI and/or cybersecurity professionals. Projects may expand existing educational opportunities, curricula, degree programs, educational pathways, methods and interventions, and partnerships among institutions of higher education, government, and employers.

Two statutes authorize this program:  15 USC §7442 (cybersecurity) and 42 USC §18993 (AI). CyberAI SFS aligns with the Executive Order 14277 to prioritize AI within scholarship for service programs. CyberAI is managed by NSF’s Directorate for STEM Education in collaboration with the U.S. Office of Personnel Management (OPM) and U.S. Department of Homeland Security (DHS).

Limit: 1 // Tickets Available: 0

PI TBA

Limiting Language
Limit on Number of Proposals per Organization: 1

Program Description 
NSF NQNI responds to national and community research priorities that will advance nanoscale and quantum science and engineering and grow U.S. leadership in critical and emerging technologies. These include quantum technology, semiconductors, artificial intelligence (AI), manufacturing, biotechnology, and others.

NQNI will provide broad access to domestic QISE research infrastructure as called for in the National Quantum Initiative (NQI) Act of 2018 (Public Law 115-368) and Administration priorities. NSF support for world-class research infrastructure will help U.S. researchers meet the needs of innovative quantum systems.

NSF developed the NQNI program with input on future research infrastructure needs from academia, government, industry, and U.S. National Laboratories. The workshop report, Nanotechnology Infrastructure of the Future (2023, NSF award 2331369), emphasized the need to continue supporting nanotechnology infrastructure; it concluded that such resources are "essential for quantum science and engineering and other emerging national research priorities." The workshop report, Workshop on Quantum Engineering Infrastructure II (2025, NSF award 2405015), affirmed that NSF nanofabrication infrastructure programs are highly valuable for quantum research; it also stated that such infrastructure should support quantum "technologies that require higher-levels of integration, yet have the flexibility to work with emerging platforms."

Institutionally Coordinated // Limit: 3 // Tickets Available: 1

Track 3: Limit: 1 // Tickets Available: 1

Track 4: Limit: 1 // Tickets Available: 0
D. Hockstad (Tech Launch Arizona)

Track 5: No Applicants // Limit: 1 // Tickets Available: 1

This funding opportunity requires institutional coordination with Tech Launch Arizona. If you are interested in submitting a proposal, please contact Doug Hockstad.  

Limiting Language
The University of Arizona is eligible for tracks 3, 4, and 5 (high research translation readiness level category). For Tracks 3, 4, and 5, an eligible organization can submit a maximum of one proposal per Track. 

Track Synopses 
  
Track 3: Technology Transfer Resource Centers (RESOURCE)   

• The ART program aims to leverage the experience and resources of IHEs or non-profits with strong research translation capacity (and/or experience) to launch a network of regional Technology Transfer Resource Centers (RESOURCE) that promote regional technology transfer and technology development activities available to multiple IHEs in a region with low or emerging research capacity and little or no dedicated technology transfer or research translation resources.  A Track 3 award for a RESOURCE is expected to provide guidance, training, education, and services to other IHEs in a region who have a low RTRL. A Track 3 award is expected to be up to a total of $8 million for a duration of 4 years. Subject to availability of funds and quality of proposals, NSF plans to make up to 5 RESOURCE awards. Some awardees demonstrating strong performance, as demonstrated by successfully meeting evaluation criteria during the award, including progress toward self-sustainability, may have an opportunity to receive renewal support for up to 4 more years and additional funding of up to $2 million, subject to the availability of funds. As noted above, the lead IHE for this Track is expected to be an IHE with a very high RTRL or a non-profit with significant expertise related to technology transfer, entrepreneurship and related areas leading to sustained economic impacts.      

  Track 4: Education and Training (ET)    

• This nationally focused Track invites proposals from IHEs or non-profits with any combination of either a strong, vibrant and established research translation ecosystem, and/or demonstrated experience to develop, evaluate, and deploy educational and training resources related to entrepreneurship, technology transfer and related activities. The beneficiaries for these education and training resources to be developed will be lower RTRL IHEs located anywhere in the United States (including but not limited to Track 1 and Track 2 awardees). Track 4 awards may be budgeted up to a total of $3 million for a duration of 3 years. Subject to availability of funds and quality of proposals, NSF plans to make up to 4 ET awards. Some awardees demonstrating strong performance, as demonstrated by successfully meeting evaluation criteria during the award, including progress toward self-sustainability, may have an opportunity to receive renewal support for up to 2 more years and additional funding up to $2 million (subject to the availability of funds), to scale up the deployment and adoption of the developed resources and training materials nationally.

Track 5: Coordinating Accelerating Research Translation (CART) 

• This Track invites proposals from IHEs or non-profits for the creation of a unifying center that will facilitate the development of an integrated platform for coordinating, evaluating, and monitoring the progress being made by teams that are supported under both Tracks 1 and 2. The CART awardee would also coordinate activities to be carried out under awards pursuant to Tracks 3 and 4. The Track 5 CART cooperative agreement award may be budgeted up to a total of $3 million for a duration of 5 years. Subject to availability of funds and quality of proposals, NSF plans to make up to 2 awards under the CART Track. Some awardees demonstrating strong performance, as demonstrated by successfully meeting evaluation criteria during the award, including progress toward self-sustainability, may have an opportunity to receive renewal for up to 5 more years and additional funding up to $3 million, subject to the availability of funds. Proposals for this Track must be led by one IHE with a high RTRL with significant expertise and experience in areas related to technology transfer, intellectual property management, entrepreneurship as well as initiatives and programs directed at sustained economic and collective impacts. 

Limit: 2 // Tickets Available: 1

A. Sachdeva (Management Information Systems)

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.

Limit: 2 // Tickets Available: 0 

H. Haeger (STEM Learning Center)
R. Gutenkunst (Molecular and Cellular Biology) 

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. The following majors may also be excluded: Artificial Intelligence, Bioinformatics, Computer Science, Data Science, Mathematics, Geosciences, Geosciences and Society, Hydrology & Atmospheric Sciences, Applied Biotechnology, Biosystems Analytics & Technology, Environmental & Water Resource Economics, Environmental Science, Microbiology, Plant Science, Sustainable Plant System, BAS Applied Computing, BAS Cyber Operations, BAS Intelligence & Information Operations

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.

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.

Limit: 2* // Tickets Available: 1

Category I: Tickets Available: 1
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.

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.

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.