Mathematics, Computational, & Data Sciences

Apply to Internal Competition // 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.

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. 

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: 0 

B. Kim (Materials Science and Engineering)
H. Kim (Civil and Architectural Engineering and Mechanics) 

Limiting Language
Only two nominations are allowed per institution.

Program Description
Eligibility for the Powe Awards is open to full-time assistant professors at ORAU member institutions within two years of their tenure track appointment at the time of application. If there is a question about eligibility, your ORAU Councilor makes the final determination. Only two nominations are allowed per institution.

Research must fall within one of the following five disciplines: 

• Engineering and Applied Science
• Life Sciences
• Mathematics/Computer Sciences
• Physical Sciences
• Policy, Management, or Education

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: 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.