Mathematics, Computational, & Data Sciences

Limit: 3 // Tickets Available: 0 

B. Vasic (Electrical and Computer Engineering)
M. Hassan (Physics)
E. Hamden (Space Institute) 

Limiting Language 
We will be accepting up to 3 proposals per university for review

Program Overview
JPL has formal strategic partnerships with 15 universities that have major commitments to space exploration, and broad connections to JPL. The Strategic University Research Partnerships (SURP) program supports these partnerships, providing resources to foster strong collaborative relationships. The program works with JPL researchers and our strategic partners to develop new science and technology opportunities and provide accelerated innovation for NASA’s missions.
 

Institutionally Coordinated - contact RDS if you are interested in this funding opportunity // Limit: 2 (lead organization)

SUBJECT TO CHANGE STATEMENT: The terms of this funding opportunity are actively under ORP review and the competition is thus subject to change. The solicitation indicates that academic institutions are not the end goal for this funding. 

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.

Institutionally Coordinated - contact RDS if you are interested in this funding opportunity // Limit: 2 (lead organization)

SUBJECT TO CHANGE STATEMENT: The terms of this funding opportunity are actively under ORP review and the competition is thus subject to change. The solicitation indicates that academic institutions are not the end goal for this funding. 

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.

Request Ticket // Limit: 1 // Tickets Available: 1

Limiting Language 


Executive Summary 
The U.S. Creative Tech Exchange (U.S.CTX) is a new international arts exchange program that drives economic growth by connecting U.S. creative professionals and technologists with international peers working at the intersection of the arts and emerging technologies, especially artificial intelligence (AI). The goal is to position American technology as a key driver of American innovation, economic, and cultural influence in art and technology, For the purposes of this program, “arts” refers specifically to architecture, creative coding and gaming, fashion, graphic design, music and immersive art such as virtual reality (VR), augmented reality (AR), and mixed reality (MR); but excludes film and television.

U.S.CTX will support up to 30 participants through short-term, hands-on activities such as collaborative labs, fellowships, workshops, and public showcases. ECA will award one U.S.-based nonprofit or educational organization $1.32 million to design and implement the program in close coordination with ECA and U.S. embassies. Applicants should propose a concept that leverages their strengths and includes clear plans for recruitment, program delivery, and measurable outcomes in creative arts, economic impact, and public diplomacy.

Request Ticket // Limit: 1 // Tickets Available: 1

Limiting Language 
Only one proposal will be considered by ECA from each applicant organization. In cases where more than one submission from an applicant appears in grants.gov, ECA will only consider the submission made closest in time to the NOFO deadline; that submission would constitute the one and only proposal ECA would review from that applicant.

Executive Summary
The Office of Citizen Exchanges, Global Leaders Division, of the Bureau of Educational and Cultural Affairs (ECA) invites proposal submissions for the FY 2026 TechLeaders: Critical Emerging Technologies Program. TechLeaders will strengthen America’s technological edge and industry dominance by promoting U.S. leadership in Artificial Intelligence (AI), Space Technology, Biotechnology/Health Technology, Supply Chain/Cold Chain Technology, and Agricultural Technology (AgriTech). This initiative engages approximately 60 foreign participants, ages 25-40, from Europe and Eurasia, East Asia and the Pacific, Middle East and North Africa, South and Central Asia, Sub-Saharan Africa, and the Western Hemisphere through a five-week intensive placement in the United States. Participants will collaborate with U.S.- based mentors and companies to develop actionable solutions in critical technology sectors, showcasing American expertise and innovation. The program will also feature overseas components including reciprocal exchanges and an accelerator following the second U.S.-based cohort to expand U.S. influence, inspire future STEM professionals, and foster collaboration with American businesses. TechLeaders supports U.S. national security and foreign policy objectives byexporting American expertise and technological innovations abroad, promoting U.S.- preferred technology standards globally, bolstering economic ties, and countering the proliferation of malign competitors’ technology in the global market.

Organizations applying for this federal award must demonstrate the capacity to recruit, select, and place participants, manage all program logistics, and implement overseas programming, which includes annual reciprocal exchanges and a Critical Emerging Technologies Accelerator program after the second cohort of participants. The recipient will be awarded $ 1,500,000 for the overall FY 2026 TechLeaders: Critical Emerging Technologies Program, ensuring that taxpayer dollars are used efficiently to advance U.S. national interests and global leadership in criticaltechnology sectors.

Limit: 1 (Category II only) // Tickets Available: 0

A. Shamshiripour (Civil and Architectural Engineering and Mechanics) 

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.

Institutionally Coordinated // Limit: 3 // Tickets Available: 0

J. Schaibley (Physics)
D. Soh (Optical Sciences)
S. Ndlovu (Mining Engineering and Mineral Resources)

Limiting Language
Applicant institutions are limited to no more than three pre-applications or applications as the lead institution.

An individual may not be named as the PI (EFRC Director) on more than one pre-application or application. Directors of existing EFRC awards that do not have project end dates in 2026 cannot be named as the EFRC Director on any pre-application or application in response to this NOFO.

There is no limitation to the number of applications on which an institution appears as a subrecipient. 

Should DOE receive submissions in excess of the applicable limits, DOE reserves the right, in its sole discretion, to request additional or clarifying information to ascertain the institution’s intended submissions. Otherwise, DOE will consider the latest received submissions to be the institution’s intended submissions.
• Pre-applications in excess of the limited number of submissions may be discouraged.
• Applications in excess of the limited number of submissions may be declined without review.

Program Description
The DOE SC program in Basic Energy Sciences (BES) announces a re-competition of the Energy Frontier Research Center (EFRC) program. The purpose of this program is to bring together world-class teams of scientists from universities, DOE national laboratories, and other institutions to perform energy-relevant basic research with a scope and complexity beyond what is possible in single-investigator or small-group awards. These multi-investigator, multi-disciplinary centers accelerate transformative scientific advances for the most challenging topics in materials sciences, chemical sciences, geosciences, and biosciences. EFRCs integrate experiments, theory, computation, and AI/ML; develop innovative experimental and theoretical tools that illuminate fundamental processes in unprecedented detail; and create an enthusiastic, interdisciplinary, workforce of energy-focused scientists.

Limit: One application per department, school, or program

O. Neto (Global Health Institute) - AI Challenge

Limiting Language
An organization may only serve as a Lead Organization on one application for each of the three challenges. An organization may be a partner on more than one application if each one proposes a separate and distinct solution. And each application must be submitted by a different, eligible Lead Organization.

Please note: Regional or location-specific branches of larger organizations, as well as departments, schools, and programs within or based in a college/university, may each submit separate applications naming their parent organization as the Lead Organization on their applications. Similarly, applicants may include a specific branch or department along with the parent organization in the Lead Organization field on the registration form.

Program Overview
The Workplace Innovation Now (WIN) AI Challenge is seeking bold solutions that address the impact and potential of AI in quickly evolving workplaces, from AI-powered solutions that help support women at work, to AI skill-building and solutions that mitigate bias in AI.

Notify Limited Submissions of Your Intent to Submit a Proposal  Please include a brief summary of the planned project scope // Limit: Must notify if there are two or more planned institutional proposals

Limiting Language
Organizations are limited to submitting one Entry to the Challenge. Notwithstanding the foregoing, the Challenge may consider multiple Entries from large organizations such as universities. Any such Entries must be distinct, without overlap in the scope of the proposals or the project teams. If you are aware that two or more teams within your organization are submitting Entries to the Challenge, please notify us by email at challenge@data.org and include an explanation as to how your team meets the foregoing requirement.

Funding Highlights
The Activate AI: Economic Opportunity Challenge is a global call for innovative AI applications that empower people and communities, and that unlock economic opportunity for a resilient future. With the launch of this challenge, data.org and Zoom are seeking out projects that drive AI workforce development and organizational capacity, develop pathways to create future friendly jobs leveraging data and AI, and build climate resilient communities for a green economy. 

Sponsor Notes
The Challenge will award at least five final winners with a combination of grant funding and in-kind support with a combined total value of $115,000 USD. In-kind support may include, but is not limited to, data science talent, staff training, technical support and consulting, media production, marketing and promotional outreach, and software and infrastructure licenses.