Mathematics, Computational, & Data Sciences

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Eligibility
Applicants can submit one application in response to the NOFO.  If more than one application is submitted by an organization, only the final application received, and time stamped by grants.gov will be reviewed for eligibility.  Each application can include multiple projects that will be evaluated independently. 

Executive Summary
U.S. adversaries, including China, are seeking advanced and emerging technologies to advance their military capabilities and to develop and deploy weapons of mass destruction (WMD) and advanced conventional weapons against the United States.  A significant number of foreign governments, public and private research organizations, tech industries, and start-up communities are unaware of dual-use applications of technologies and remain vulnerable to theft and loss of technologies, data, intellectual property (IP), knowledge and talent that can be leveraged for military end uses.  For example, semiconductors, which are critical components in a most of today’s electronic devices, are also a critical input for the development of military technologies, WMD and WMD delivery systems, and technologies with potential dual-uses – such as artificial intelligence.  In addition to seeking advanced technologies, adversaries exploit commercial and scientific facilities, training centers, and the seas to conduct illegal military operations.

Malign actors use legal and illegal means such as joint commercial ventures, talent recruitment programs, research partnerships/funding, predatory contracting agreements, private equity investments, joint scientific facilities/laboratories, cybertheft, state-sponsored industrial espionage, supply chain diversion, or sales or donation of untrusted hardware and software to acquire foreign intellectual property, conduct dual-use research and development, or conduct military activities under the guise of science diplomacy or commercial activity.  Affiliations and links to military entities are often obfuscated or disguised when establishing collaborations and partnerships in order to gain admission and secure visas to study or conduct research on sensitive advanced and emerging technologies at foreign universities; to procure critical equipment and components from unsuspecting or indiscriminate commercial or scientific institutions; or when establishing joint scientific facilities or operating in international business markets. 

ISN/CTR seeks to enable key foreign partners to protect critical advanced and emerging technologies from exploitation by our adversaries for military, technological, and economic advancement; secure U.S. intellectual property (IP) abroad; and prevent the exploitation of commercial and scientific partnerships in several key areas, including but not limited to: aerospace and space technologies, artificial intelligence (AI), nanotechnologies, neuroscience, quantum computing and sensing, semiconductors, and smart cities.  ISN/CTR also seeks to apply risk reduction tools to more traditional security vulnerabilities that are exploited by proliferator states for military training, geographic influence, etc.  

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Eligibility
Applicants are only allowed to submit one proposal per organization. If more than one proposal is submitted from an organization, all proposals from that institution will be considered ineligible for funding.

Executive Summary
The U.S. Embassy Bangkok Public Diplomacy Section (PDS) is pleased to invite eligible applicants to submit program ideas to implement the American Cybersecurity Enhancement Program (ACEP) for Thai Entrepreneurs. This program will leverage American cybersecurity best practices to address the critical need for robust and adequate cybersecurity measures among businesses, startups, and small and medium-sized enterprises (SMEs) in Thailand. The program must include American elements or connections with American experts, companies, or organizations in the respective fields.

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C. Chan (Astronomy & Steward Observatory)

Please note that this is for category II submissions only (see program synopsis), category I submissions were due to NSF October 29, 2024.

Eligibility 
An organization may submit only one proposal per each competition specified in this solicitation but may be a subawardee on other 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 resource.

Collaborative projects may only be submitted as a single proposal in which a single award is being requested (PAPPG Chapter II.E.3.a). The involvement of partner organizations should be supported through subawards administered by the submitting organization.

These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently. In the event that an organization exceeds this limit, the proposal received within the limit will be accepted based on the earliest date and time of proposal submission (i.e., the first proposal received will be accepted and the remainder will be returned without review). No exceptions will be made.

Program Synopsis
The intent of this solicitation is to request proposals from organizations who are willing to serve as resource providers within the NSF Advanced Computing Systems and Services (ACSS) program. Resource providers would (1) provide advanced cyberinfrastructure (CI) resources in production operations to support the full range of computation, data-analysis, and AI research across all of science and engineering (S&E), and (2) enable democratized and equitable access to the proposed resources. The current solicitation is intended to complement previous NSF investments in advanced computational infrastructure by provisioning resources, broadly defined in this solicitation to include systems and services, in two categories:

• Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation, data analytics and AI needs in S&E research; and
• Category II, Innovative Prototypes/Testbeds: innovative forward-looking capabilities deploying novel technologies, architectures, usage modes, etc., and exploring new target applications, methods, and paradigms.
   

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Z. Chen (Electrical and Computer Engineering) 
M. Singh (Computer Science)
M. Pacenti (Electrical and Computer Engineering) 
I. Johnson (Pharmacology - COM-T)

Google PhD Fellowships directly support graduate students as they pursue their PhD, as well as connect them to a Google Research Mentor.

Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Our research teams impact technology used by people all over the world and we encourage people of a wide range of backgrounds to apply. We currently offer fellowships in Africa, Australia, Canada, East Asia, Europe, India, Latin America, the Middle East, New Zealand, Southeast Asia and the United States.

PhD students from Africa, Australia, Canada, East Asia, Europe, India, Latin America, the Middle East, New Zealand, Southeast Asia and the United States, must be nominated for the fellowship by their university. Applications must be submitted by an official representative of the university during the application window. Please see our FAQ for more information.


Eligibility 
Universities should only nominate students that meet the following requirements:

• Students must remain enrolled full-time in the PhD program for the duration of the Fellowship or forfeit the award.
• Google employees, and their spouses, children, and members of their household are not eligible.
• Students that are already supported by a comparable industry award are not eligible. Government or non-profit organization funding is exempt.
• Past awardees from the PhD Fellowship program are not eligible to apply again.
• Canada and the United States: students who have completed graduate coursework in their PhD by the academic award year when the Fellowship begins.

Four tracks, see limits below: 

• Departmental/Division Transformation Track (DDTT) – No institutional limits on proposals
• Institutional Transformation Track (ITT) - Limit: 1 // Institutionally Coordinated
• Emerging Faculty Research Track (EFRT) – U of A is NOT ELIGIBLE
• HSI Program Resource Hubs (Hubs) – U of A is NOT (currently) ELIGIBLE  

HSI Initiatives must coordinate the submission for the Institutional Transformation Track or future Resource Hubs proposals. If you are interested in this funding opportunity, please contact Riley McIsaac.

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J. Schaibley (Physics) 
I. Djordjevic (Electrical & Computer Engineering)

Subcontract/Non-lead organizational Proposals // Not Limited 
D. Hahn (Engineering) - subcontract to the University of Oklahoma 

Limit on Number of Proposals per Organization: 2

Limitations on the number of proposals per organization do not apply to the Letters of Intent.

Lead organizations are limited to submit no more than two (2) Challenge Institute Preliminary Proposals. Lead organizations are limited to submit no more than two (2) invited Challenge Institute Full Proposals. Multi-institutional Challenge Institute proposals must be submitted as a single proposal by a single lead organization; separately submitted collaborative proposals are not permitted.

Letter of Intent Due Date(s) (required) (due by 5 p.m. submitting organization's local time):

     February 07, 2025

Preliminary Proposal Due Date(s) (required) (due by 5 p.m. submitting organization's local time):

     March 07, 2025

Full Proposal Deadline(s) (due by 5 p.m. submitting organization's local time):

     September 17, 2025

Synopsis of Program:

Quantum Leap Challenge Institutes are large-scale interdisciplinary research projects motivated by major challenges at the frontiers of quantum information science and technology (QIST). Institutes are expected to catalyze breakthroughs on important problems underpinning QIST, for example in the focus areas of quantum computation, quantum communication, quantum simulation and/or quantum sensing. Successful institutes will coordinate a variety of approaches to specific scientific, technological, and educational goals in these fields, including multiple institutions and building upon multiple disciplines, as motivated by the science and engineering challenges. In so doing, Institutes will nurture a culture of discovery, provide education, training, and workforce development opportunities in the context of cutting-edge research, and demonstrate value-added from synergistic coordination within the institute and with the broader community. Partnerships, infrastructure, industry engagement, outreach, international collaboration, and new applications for QIST should be fostered by Institutes in support of their research, education, and coordination goals.

The QLCI program can support awards to continue existing Quantum Leap Challenge Institutes or to establish and operate new Quantum Leap Challenge Institutes. In either case, proposers should follow the same guidance for Challenge Institute proposal preparation described in this solicitation. While this is a crosscutting program, proposals responding to this solicitation must be submitted to the Office of Strategic Initiatives (OSI) in the Directorate of Mathematical and Physical Sciences (MPS). They will subsequently be managed by a cross-disciplinary team of NSF Program Directors.

The QLCI program enables NSF multidisciplinary centers for quantum research and education as called for in the National Quantum Initiative (NQI) Act1 and an NQI Advisory Committee report, Renewing the National Quantum Initiative: Recommendations for Sustaining American Leadership in Quantum Information Science2.In alignment with the NQI Act, Quantum Leap Challenge Institutes shall pursue research at the frontiers of quantum information science, engineering, and technology, and explore solutions to important challenges for the development, application, commercialization, and pioneering use of quantum technologies. QLCI Institutes shall also lead education, training, and workforce development activities as may be needed for sustained leadership in QIST and related topics. Coordination both within each Institute and with new partners and the broader ecosystem should also serve to galvanize the community and catalyze the research and education activities in ways that go beyond what smaller projects could accomplish in isolation.

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B. LeRoy (Physics)
V. Yurkiv (Aerospace and Mechanical Engineering) 
J. Bredas (Chemistry & Biochemistry)
Z. Mutlu (Materials Science & Engineering) 

Limit on Number of Proposals per Organization: 5 
Each organization is limited to serving as lead on five (5) DMREF proposals. In the event that an organization exceeds this limit, the proposals will be accepted based on their times of submission, whereas the rest of the proposals will be returned without review, without exception. There is no limit on the number of proposals in which an organization may serve in a Collaborative, non-lead role.

Limit on Number of Proposals per PI or co-PI: 1
No individual may appear as Senior/Key Personnel (PI, Co-PI, Faculty or Other Senior/Key Personnel) on more than one (1) DMREF proposal submitted in response to this solicitation. In the event that an individual exceeds this limit, any DMREF proposal submitted to this solicitation with this individual listed as Senior/Key Personnel after the rst DMREF proposal is received at NSF will be returned without review, without exception. Changes in investigator roles post-submission to meet the eligibility requirements will not be allowed. It is the responsibility of the submitters to con rm that the entire team is within the eligibility guidelines.

Program Description: 
DMREF seeks to foster the design, discovery, and development of materials to accelerate their path to deployment by harnessing the power of data and computational tools in concert with experiment and 3theory. DMREF emphasizes a deep integration of experiments, computation, and theory; the use of accessible digital data across the materials development continuum; and strengthening connections among theorists, computational scientists, data scientists, mathematicians, statisticians, and experimentalists as well as those from academia, industry, and government. DMREF is committed to the education and training of a next-generation materials research and development (R&D) workforce; wellequipped for successful careers as educators and innovators; and able to take full advantage of the materials development continuum and innovation infrastructures that NSF is creating through partnership with other federal and international agencies.

Eligibility: 
Who May Submit Proposals: 
Proposals may only be submitted by the following: Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. 

Who May Serve as PI: 
By the submission deadline, any PI, co-PI, or other Senior/Key project personnel must hold either: A tenured or tenure-track position, or A primary, full-time, paid appointment in a research or teaching position with exceptions granted for family or medical leave, as determined by the submitting institution. 15An investigator who is a PI or co-PI of a DMREF award based on a proposal submitted in response to the previous DMREF Solicitation ( NSF 23-530) cannot be a PI or co-PI for this DMREF solicitation, but may serve as Senior/Key Personnel. Proposals violating this limitation will be returned without review. 
 

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M. Krunz (Electrical & Computer Engineering) 

An organization may submit one proposal per submission window. An organization must wait for a determination from NSF (e.g., Award, Decline, or Returned Without Review) on the pending proposal before submitting a new proposal in the next window. Declined proposals require a new invitation to submit (via the Concept Outline process) and significant revision, while proposals Returned Without Review may be submitted using the same invited Concept Outline (assuming that the proposal is received within one year of the original Concept Outline invitation).

The Expanding AI Innovation through Capacity Building and Partnerships (ExpandAI) program is a multi-year program that aims to significantly diversify participation in AI research, education, and workforce development through capacity development and partnerships within the National AI Research Institutes ecosystem.

PROGRAM TRACKS

This program solicitation offers two Tracks corresponding to stages of readiness for partnerships in AI Institutes. These are “ExpandAI Capacity Building Pilots” and “ExpandAI Partnerships” as described below.

Track 1: ExpandAI Capacity Building Pilots

Capacity Building Pilots (CAP) are planning and growth efforts focused on the establishment of AI activities at the funded MSI and the early exploration of future synergistic partnerships that have the potential to be part of prospective ExpandAI Partnerships. Successful pilots will result in establishing new AI research capacity, education/workforce development in AI, and/or AI infrastructure capacity at the proposing institution and, potentially, a basis for future AI partnerships. CAP activities should plan for engaging appropriate communities to test the feasibility of partnerships as well as developing plans for continuing capacity development. Plans should consider required research infrastructure, plans to leverage established groups in related research areas, and inclusion of faculty training and research experiences that emphasize the diversification of investigators.

Proposals must articulate a clear vision motivating the capacity building activities, with a focus on long-term benefits to the MSI such as enhanced faculty capacity for foundational and/or use-inspired AI research or new effective models for increased education and career pathways in AI. Proposals to this track must include a strong Institutional Need and Support Statement (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, a demonstration of institutional need for capacity building in AI, and a statement of the commitment of institutional support for the proposed activities. Proposals that substantiate a strong case in this need and support statement are likely to be most compelling for the funding opportunity. Further guidance for this supporting document can be found in Proposal Preparation Instructions.

Successful proposals will feature a Capacity Building Plan that features clear and measurable outcomes/benefits of capacity building. Suitable activities for such a plan are:

• establishment or significant enhancement of foundational or use-inspired AI research, marked by increased faculty research output;
• design of academic pathways or innovative models for teaching and learning in AI, incorporating how students learn effectively in AI activities, and bringing AI disciplinary advances into the undergraduate and graduate experience;
• establishment or significant expansion of AI career pathways for students resulting from new AI activities;
• enhanced AI research infrastructure;
• significant increase in the participation of investigators and students who have been traditionally underserved and underrepresented in AI; and
• a plan for objective process evaluation in support of the proposed efforts.

Note that this list is representative of suitable activities and outcomes for this track. CAP activities need not be limited to this list, and proposals do not have to include every type of outcome represented in that list. Proposers are encouraged to select and integrate the activities most appropriate for their institutional context and their vision for capacity building toward partnerships.

Early partnership development between the proposing MSI and one or more AI Institutes is neither required nor encouraged in a CAP proposal.

Track 2: ExpandAI Partnerships

The ExpandAI Partnership (PARTNER) track is an opportunity for MSIs to scale up already-established AI research and/or education programs and to initiate/leverage new collaborations with AI Institutes. These partnerships will be multi-organization collaborations submitted by an MSI and will include a subaward to an AI Institute. PARTNER projects are centered around shared, complementary goals. Proposals will be submitted as single-organizational collaborative proposals. PARTNER proposals may only be submitted by a qualifying MSI as indicated in Eligible Institutions in this solicitation.

PARTNER proposals should scale up and make fully productive an appropriate existing capacity in AI research, education/workforce development, and/or infrastructure capacity. The proposing MSI in this track is not required to have previously been awarded a CAP project under this program. PARTNER proposals must constitute a significant new partnership that has the clear potential to build on the institution’s current AI capacity as well as leverage the intrinsic strengths and talents of the MSI for mutual benefit in collaborative AI activities.

MSIs applying for this track must demonstrate readiness to leverage external expertise and financial resources to focus on medium- and long-range plans to leverage this funding opportunity and new partnerships to develop AI capacity within the MSI, including but not limited to further development of the MSI’s envisioned methodological thrusts, use cases, educational and/or workforce development activities, and the potential for the MSI to expand and scale these efforts through formal, mutually beneficial partnerships. Proposals should include at least one (and if appropriate, more) established AI Institutes in developing a roadmap for collaborative work in some unifying theme or focus.

PARTNER proposals must feature a compelling Partnership Roadmap for collaborative work in some unifying theme or focus. Roadmaps are the beginning of a joint strategy between organizations for collaborative work. These roadmaps may also include community building activities (e.g., workshops) to further develop common interests, objectives, and goals for the growth of collaborative activities. Effective roadmaps are both depicted visually (e.g., conceptual diagram, logic model, table, etc.) and fully explained by a descriptive narrative. The roadmap should address all proposed projects involving research, education/workforce development, infrastructure, and any other types that are applicable to the collaboration. Roadmaps might address:

• enhancement of existing projects by virtue of new collaboration;
• initiation of new projects made possible by the collaboration;
• community building activities (e.g., workshops) to further develop common interests, objectives, and further growth of the partnership;
• potential and plans for scaling nascent programs;
• an evaluation plan for measuring the growth and mutual benefit of activities in all projects.

Note that this list is representative of suitable features of a Partnership Roadmap. Proposers may adapt this list and depict the roadmap in the way that best suits the unique vision of the PARTNER proposal.

Proposals to this track must include a strong Institutional Need and Support Statement from the proposing MSI (see proposal preparation instructions) containing an assessment of the current AI research and instructional capacity and infrastructure, progress in AI capacity development and how that relates to the outlook for partnership development, and a demonstration of the commitment of institutional support for the proposed activities. In addition, each proposal to this track must include an Institute Integration Plan submitted by the collaborating institute demonstrating thoughtful and well-resourced commitment to coordination mechanisms that will bring together the various participants of the project. Further guidance for these supporting documents can be found in Proposal Preparation Instructions.

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C.K. Chan

The overarching goal of this solicitation is to democratize access to NSF’s advanced cyberinfrastructure (CI) ecosystem and ensure fair and equitable access to resources, services, and expertise by strengthening how Cyberinfrastructure Professionals (CIP) function in this ecosystem. It aims to achieve this by (1) deepening the integration of CIPs into the research enterprise, and (2) fostering innovative and scalable education, training, and development of instructional materials, to address emerging needs and unresolved bottlenecks in CIP workforce development. Specifically, this solicitation seeks to nurture, grow and recognize the national CIP [1] workforce that is essential for creating, utilizing and supporting advanced CI to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. Together, the principal investigators (PIs), technology platforms, tools, and expert CIP workforce supported by this solicitation operate as an interdependent ecosystem wherein S&E research and education thrive. This solicitation will support NSF’s advanced CI ecosystem with a scalable, agile, diverse, and sustainable network of CIPs that can ensure broad adoption of advanced CI resources and expert services including platforms, tools, methods, software, data, and networks for research communities, to catalyze major research advances, and to enhance researchers' abilities to lead the development of new CI.