Mathematics, Computational, & Data Sciences

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B. Kim (Materials Science and Engineering)

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

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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.

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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.

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

Limiting Language*
An organization may submit only one proposal as lead institution for each of Category I and Category II for each solicitation deadline but may be a subawardee on other Category I and II proposals responding to this solicitation. The restriction to no more than one submitted proposal as lead institution is to help ensure that there is appropriate institutional commitment necessary for responsible oversight, by the potential recipient institution, of a national data infrastructure resource. This restriction does not apply to Category III proposals. 

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

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

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

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

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

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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.

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L. O'Neill - (Center on Aging)

Limiting Language
My organization is a government, a tribal entity, or a university: You may submit one application per department. You may submit another if, and only if, you are collaborating with another organization.  
o If you would like to submit a second application on behalf of a collaborative group of organizations, submit only one application per project. This means choosing just one organization to submit the collaborative application.  
o If several departments are applying for the same project, please treat it as a collaborative application. 
o A government or tribal agency, or university may apply for projects separate from those the individual departments apply for.   

Grant Description
All organizations requesting grants must provide services that directly benefit populations residing in Cochise County and eastern Santa Cruz Counties. 

The Legacy Foundation of Southeast Arizona is seeking applications for Innovative grants.  

Grant Cycle – June 2, 2025 through September 26, 2025. Awards will be announced by December 13, 2025.  Grants will be awarded January 2026.  

Every year the Legacy Foundation of Southeast Arizona funds Innovation Grants for projects up to $50,000 that are aligned with the Foundation Mission of Promoting Population Health and Community Wellness. 

Collaboration and forging partnerships with other community organizations are key determinants in funding decisions. 

The Legacy Foundation of Southeast Arizona will kick off the Innovative Grant Cycle with a workshop that will provide full information regarding the goals of the cycle. 
 

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Limiting Langauge
Applicants may only submit 1 application under this opportunity. Applicants that submit more than 1 application will be contacted to determine which application to evaluate. The remaining application(s) will be deemed ineligible.

Executive Summary

The Chesapeake Center for Collaborative Computing (C4) is a cloud- based infrastructure that supports collection, aggregation, storage, analysis, and dissemination of data for the Chesapeake Bay Program (CBP) partnership. It also provides on-site support to non-federal partners located at the Chesapeake Bay Program Office (CBPO) in Annapolis, MD. The recipient of this award will administer the C4 by operating and maintaining the existing environment, expanding and enhancing the infrastructure to meet partnership needs as they change over time, and assessing technological advances to ensure cost-effectiveness and efficiency of operations. The targeted audience for this funding opportunity is eligible entities listed below capable of managing cloud-based infrastructure for a collaborative regional partnership.

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Limiting Language: 
One (1) per applicant organization. 

Program Overview: 
The Technology Gateway Program (TECHGATE) is intended to establish a large-scale cyber and digital technology and knowledge transfer program that incentivizes eligible foreign governments’ purchase and use of trusted and American digital technology solutions in furtherance of both U.S. foreign policy and national security interests.  Through this program and in partnership with the selected Implementer, the U.S. Government can provide a unique value by offering a “total package approach” that helps partners navigate issues of requirements identification, best value, technical and system complexity, absorptive capacity, and country-specific logistical and export/import controls.  Capacity building and economic sustainability is an integral component of each part of TECHGATE’s structured procurement and delivery process to ensure that the recipient country gains relevant skills in requirements identification and assessment, research and procurement, logistics, deployment, and configuration.  Upon delivery, a robust package of training and technical skills-uplift will ensure that recipients are prepared to adopt and integrate new technology packages into their environment. 

This is a new program, designed to: 1) respond to foreign governments’ demands for access and capacity to American and trusted cyber and digital technologies; 2) streamline the Department’s ability to transfer new-to-market and proven, trusted Commercial Off-The-Shelf (COTS) cyber and digital technologies; 3) design and execute robust packages of logistics/procurement, deployment, and technical knowledge-transfer that foster recipient capacity to independently modernize and secure systems; 4) provide clear parameters for cyber and digital technology supplier entry and eligibility; and 5) provide guidelines for foreign governments’ eligibility, including adherence to U.S.-supported best practices and policies in cyberspace. 

 

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B. Bash (Elecrical and Computer Engineering)
I. Barton (Mining Engineering & Mineral Resources)

Limiting Language:
We welcome you to submit up to two nominations from University of Arizona. 

Eligibility Criteria:

• Have achieved tenure or an equivalent status prior to the nomination deadline and within the past three calendar years (between January 1, 2022 and August 10, 2025),
• Have a remarkable record of accomplishment in mathematics, computer science, natural sciences, and/or engineering,
• Have a demonstrated history of pursuing and publishing results in more than one field,
• Have a desire and plan to expand their research portfolios by exploring a substantive disciplinary or methodological shift, but have not yet launched such shifts,
• Demonstrate a need for additional funding to enable new experiments, explorations, or shifts in research directions.

Overview
We are especially interested in supporting highly creative, original, and risky research that is clearly distinct from past areas and directions. We strongly encourage you to consider nominating not simply your most accomplished researchers, but specifically extraordinary researchers whose work and ideas are adventurous, bold, highly creative, and less likely to receive traditional funding or support. Successful applicants propose potential new projects that are wholly original and very different from any of their past work.
 

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M.M. Kaelberer (Physiology)

Program Overview
The Searle Scholars Program supports research of outstanding individuals who have recently begun their appointment at the assistant professor level, and whose appointment is their first tenure-track position at a participating academic or research institution. Today, 168 institutions are invited to participate in the Program.

The Program was established at The Chicago Community Trust in 1980 and has been administered by Kinship Foundation since 1996. The Program is funded from the estates of Mr. and Mrs. John G. Searle. Mr. Searle was the grandson of the founder of the world-wide pharmaceutical company, G.D. Searle & Company. It was Mr. Searle's wish that certain funds be used to support "...research in medicine, chemistry, and the biological sciences."

Each year 15 new individuals are named Searle Scholars. Awards are currently set at $100,000 per year for three years. Since its inception, 617 Scholars have been named and over $174 million has been awarded.

Eligibility
The Searle Scholars Scientific Advisory Board is primarily interested in the potential of applicants to make innovative and high-impact contributions to research over an extended period of time.

Applicants for the 2026 competition (awards which will be activated on July 1, 2026) are expected to be pursuing independent research careers in biochemistry, cell biology, genetics, immunology, neuroscience, pharmacology, and related areas in chemistry, medicine, and the biological sciences.

Applicants should have begun their appointment as an independent investigator at the assistant professor level on or after May 1, 2024. The appointment must be their first tenure-track position (or its nearest equivalent).

Institutions which do not have tenure-track appointments should consult with the Scientific Director of the Program regarding eligibility of selected applicants PRIOR to nominating such individuals.

The Searle Scholars Program does not ordinarily support purely clinical research but has supported research programs that include both clinical and basic components. Potential applicants who are unsure if their research is appropriate for our Program are encouraged to examine the research interests of present and former Searle Scholars on this website.

Applicants who were nominated for awards in the previous competition year but were not awarded may still meet the eligibility criteria for the current competition. Institutions should consult with the Scientific Director of the Program regarding renomination of such individuals.