National Science Foundation (NSF)

Apply to Internal Competition // Limit: 2 (lead organization) // Tickets Available: 2

Limiting Language 
An eligible organization can submit a maximum of two Written Proposals per Topic Announcement for Phase 0 as a lead organization. Senior/Key Personnel may be listed on a maximum of one Written Proposal per Topic Announcement.

Topic Description

Every revolution in science has been preceded by a revolution in what we can measure, from the telescope to modern Magnetic Resonance Imaging (MRI) machines. Today, the frontier is starved for radically new modalities for sensing and imaging. We cannot watch a non-crystalline enzyme work at atomic resolution, probe the full dynamics of a working synapse, or identify the most reactive surface defect structures on advanced catalytic materials.

NSF X-Labs in this Topic will target specific platform technologies in sensing, imaging and supporting technologies that will form the basis for revolutionary new capabilities in scientific discovery and technology sectors. Teams might, for example, draw on quantum sensing, artificial intelligence (AI)-driven computational imaging, adaptive AI-based sensing algorithms, and/or entirely new modalities to redefine what we consider knowable. 

Examples of relevant, currently unmet R&D challenges may include, but are not limited to: detection of molecular-scale single-reaction events across timescales of femtoseconds to seconds; MRI-free deep-tissue imaging; non-destructive biomolecule microscopy at exquisite resolution; high-sensitivity quantum sensors suitable for operation in a variety of environments; instruments intentionally engineered for next-generation AI training pipelines; and sensors to resolve whole-brain activity at cellular resolution across long timescales. 

An NSF X-Labs Mission in this Topic must be transformative, accelerating breakthrough R&D in scientific instrumentation towards creating or reshaping new lines of research and technologies. Successful teams will overcome technical barriers facing sensing and imaging, develop platform technologies, demonstrate measurable impact on the U.S. science and technology landscape, and position their technologies for widespread use and investment in research and/or other sectors. 

Examples of challenges not considered in scope for this Topic include computational or software solutions without practical integration into an instrumentation system, development of technologies where the impact is narrow and not widely deployable, fundamental research without potential for application in platform technologies, incremental advancement of the state of the art, or advancement of technologies that are already appropriately developed to the point of full-scale commercialization.

Full sponsor guidelines are linked here. 

Upcoming Webinars
Thursday, May 28, 1–2 p.m. Eastern Daylight Time (EDT) 
Introduction to NSF X-Labs Funding Opportunity – Scientific Instrumentation for Sensing and Imaging
Register for the May 28 webinar.

Tuesday June 23, 2:30–3:30 p.m. EDT
Q&A for NSF X-Labs – Scientific Instrumentation for Sensing and Imaging
Register for the June 23 Q&A session.

Apply to Internal Competition // Limit: 2 (lead organization) // Tickets Available: 2

Limiting Language 
An eligible organization can submit a maximum of two Written Proposals per Topic Announcement for Phase 0 as a lead organization. Senior/Key Personnel may be listed on a maximum of one Written Proposal per Topic Announcement.

Topic Description
Quantum computing and quantum information processing systems sit at the cusp of a watershed moment: through years of federally funded foundational discovery in quantum phenomena coupled with more recent industry investment in the buildout of quantum components and systems, the world is about to witness a new era in modern computation. Future quantum computing is expected to rapidly accelerate scientific discovery and use-driven applications in a range of technology sectors, while unlocking entirely new frontiers beyond the reach of classical computing. But to realize future functional and connected quantum systems will require further investment in foundational platform technologies centered on quantum interconnects and integrated quantum photonics, which will be key enablers to combine different quantum capabilities into a single system. 

Future quantum systems are expected to rely on interconnects to transfer quantum information – coherence and entanglement – between discrete physical subsystems. Quantum photonic technologies that utilize photons as robust carriers of quantum information in distributed architectures offer a compelling pathway toward scalable quantum computing, sensing and metrology, and networking. Integrated quantum photonics will further extend this capacity by enabling dense integration of optical components (e.g., entangled sources, interferometers, filters, switches, and detectors) onto compact chips and packages. 

NSF X-Labs in this Topic will focus on the research and development of technologies to enable next-generation quantum interconnects, integrated quantum photonics and/or their supporting technologies. NSF X-Labs teams will target specific platform technologies that, if successful, will provide a roadmap for the integration of second-generation quantum systems. Examples of relevant, currently unmet R&D challenges may include, but are not limited to: scalable modular architectures based on the interconnection of discrete processing units; interconnection of heterogeneous quantum sub-systems via quantum transducers; reconfigurable quantum photonic circuits for compact multi-qubit operations; and next-generation quantum light sources, low-loss waveguides, and integrated single-photon detectors. NSF X-Labs in this Topic will aim to develop foundational platform solutions that can form the basis for broad industry adoption and integrated, system-level capabilities. 

An NSF X-Labs Mission in this Topic must be transformative, accelerating breakthrough R&D in quantum technologies towards creating or reshaping new lines of research and technologies. Successful teams will develop platform technologies, overcome technical barriers facing quantum systems, demonstrate measurable impact on the U.S. science and technology landscape, and position their technologies for widespread use and investment. 

Examples of challenges not considered in scope for this Topic include computational or software solutions without practical integration into a quantum system, solutions that are inherently unsuitable for future scaling and commercial adoption, development of technologies where the impact is narrow and not widely deployable, fundamental research without potential for application in platform technologies, incremental advancement of the state-of-the-art, or advancement of technologies that are already appropriately developed to the point of full-scale commercialization.

Full sponsor guidelines are linked here. 

Upcoming Webinars 

Thursday, June 4, 2–3 p.m. EDT
Introduction to NSF X-Labs Funding Opportunity - Quantum Systems: Interconnects and Integrated Photonics
Register for the June 4 webinar.

Tuesday, June 30, 2–3 p.m. EDT
Q&A for NSF X-Labs - Quantum Systems: Interconnects and Integrated Photonics 
Register for the June 30 Q&A session.

The July 2026 deadline is institutionally coordinated. For more information, please contact RDS. 

Request Ticket // Limit: 1 (Category II only) // Tickets Available: 1

Limiting Language
Limit on Number of Proposals per Organization: 1

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.

In the event that any organization exceeds this limit, any proposal submitted to this solicitation from an organization after the first proposal is received at NSF will be returned without review. No exceptions will be made.

Category III. There are no restrictions or limits. 

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.

Institutionally Coordinated // Limit: 1 Coordination Hub Proposal

This funding opportunity is being institutionally coordinated by the Office of the Chief AI Officer. Please contact Dr. David Ebert, Cheif AI and Data Science Officer at ebertd@arizona.edu. 

Limiting Langauge
Coordination Hubs are limited to one proposal per institution.

Program Synopsis
TechAccess: AI-Ready America is a national-scale initiative to accelerate Artificial Intelligence (AI) readiness and adoption across the U.S. by strengthening coordination, leveraging partnerships and resources, filling gaps, and scaling what works — so local and state priorities can lead in shaping an AI-driven economy that benefits all Americans.

Unlike initiatives centered around K – 16 education, AI-Ready America additionally reaches businesses, public-serving organizations, and individuals, among others, expanding access to AI knowledge, tools, and resources. The program also emphasizes practical implementation through hands-on assistance and workforce up-skilling, including experiential learning such as internships, project-based work, and apprenticeships, to ensure stakeholders can effectively apply and innovate with AI.

The program supports: 

1. State/Territory Coordination Hubs (Coordination Hubs) – one in every state, the District of Columbia (DC), or territory in the United States – connecting partners, strengthening planning and deployment, and rapidly scaling approaches;
2. A National Coordination Lead (National Lead) – facilitating collaboration and knowledge sharing among Coordination Hubs, coordinating priority economic sectors, and informing national AI strategies; and
3. AI-Ready Catalyst Award Competitions – a series of topic-driven competitions issued over the course of the program to pilot and scale innovative approaches that address critical national AI readiness needs.

This funding opportunity focuses on Coordination Hubs. The National Lead will be funded as an Other Transaction (OT) offered through an Other Transaction Agreement Solutions Offering. AI-Ready Catalyst Award Competitions will be announced through an NSF-approved mechanism, with proposals submitted according to the instructions provided at the time of announcement.

Limit: 1 // Tickets Available: 0

V. Subbian (Biomedical Engineering) 

Limiting Language
An organization may submit only one Planning proposal and, if awarded a Planning award, one Development proposal.

Program Overview
This program supports collaboration among K-12 educators, technologists, and researchers to develop innovative solutions to persistent challenges in learning and workforce development. These challenges are identified by K-12 students, families, and educators.

The program aims to create and scale evidence-based practices, tools, and technologies that improve learning outcomes and prepare students for a digital, Artificial Intelligence (AI)-driven future. A key focus is early exposure to AI to build curiosity, understanding, and readiness for future careers.

The program encourages partnerships across sectors - schools, universities, industry, government, and nonprofits - to co-design responsive, technology-based solutions, and includes two phases: Planning and Development. Planning proposals help teams explore one of several focus areas. Only teams awarded Planning grants may submit Development proposals, which support the growth and implementation of promising ideas.

Eligibility 
Each NSF FINDERS FOUNDRY leadership team must have at least one member from each of four stakeholder groups: (1) K-12 educators, (2) technologists, (3) researchers, and (4) parents or guardians. One of these individuals must act as the Principal Investigator (PI) through an eligible organization described above. Co-PIs and additional Senior Personnel, (sub)contractors, consultants, etc., are also allowed.

Unaffiliated individuals are not eligible to submit proposals in response to this solicitation.

There are no PI degree requirements (i.e., the PI is not required to hold a Ph.D. nor any other degree).

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

J. Pauli (College of Information Science)

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

Per the program officer: The collaborative non-lead submission is considered as one submission from the institution, and limits the institution from submitting another scholarship track proposal.

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

K. Muralidharan (Materials Science and Engineering) 

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.