Mathematics, Computational, & Data Sciences

Submit ticket request   // Limit: One nomination per College

Major divisions (e.g., College of Arts and Sciences, Medical School) of an institution may nominate only one applicant each year.

The William T. Grant Scholars Program supports career development for promising early-career researchers. The program funds five-year research and mentoring plans that significantly expand researchers’ expertise in new disciplines, methods, and content areas.

The William T. Grant Foundation’s mission is to support research to improve the lives of young people ages 5-25 in the United States. They pursue this mission by supporting research within two focus areas. Researchers interested in applying for a William T. Grant Scholars Award must select one focus area: Reducing Inequality or Improving the Use of Research Evidence

Applicants should have a track record of conducting high-quality research and an interest in pursuing a significant shift in their trajectories as researchers. Recognizing that early-career researchers are rarely given incentives or support to take measured risks in their work, this award includes a mentoring component, as well as a supportive academic community.

Awards are based on applicants’ potential to become influential researchers, as well as their plans to expand their expertise in new and significant ways. The application should make a cohesive argument for how the applicant will expand his or her expertise. The research plan should evolve in conjunction with the development of new expertise, and the mentoring plan should describe how the proposed mentors will support applicants in acquiring that expertise. Proposed research plans must address questions that are relevant to policy and practice in the Foundation’s focus areas. Award recipients are designated as William T. Grant Scholars. Each year, four to six Scholars are selected and each receives up to $350,000, distributed over five years.

Areas of Interest

The Foundation supports research in two distinct focus areas: 1) Reducing inequality in youth outcomes, and 2) Improving the use of research evidence in decisions that affect young people.  Proposed research must address questions that align with one of these areas.

Focus Area: Reducing Inequality

In this focus area, we support studies that aim to build, test, or increase understanding of programs, policies, or practices to reduce inequality in the academic, social, behavioral, or economic outcomes of young people, especially on the basis of race, ethnicity, economic standing, language minority status, or immigrant origins.

Focus Area: Improving the Use of Research Evidence

While an extensive body of knowledge provides a rich understanding of specific conditions that foster the use of research evidence, we lack robust, validated strategies for cultivating them. What is required to create structural and social conditions that support research use? What infrastructure is needed, and what will it look like? What supports and incentives  foster research use? And, ultimately, how do youth outcomes fare when research evidence is used? This is where new research can make a difference. 

Eligibility

Applicants must have received their terminal degree within seven years of submitting their application. We calculate this by adding seven years to the date the doctoral degree was conferred. In medicine, the seven-year maximum is dated from the completion of the first residency.

Applicants must be employed in career-ladder positions. For many applicants, this means holding a tenure-track position in a university. Applicants in other types of organizations should be in positions in which there is a pathway to advancement in a research career at the organization and the organization is fiscally responsible for the applicant’s position. The award may not be used as a post-doctoral fellowship.

No Applicants  // Limit:1  // Tickets Available: 1

No pre-proposals were received in the internal competition.

The Research Infrastructure for the Social and Behavioral Sciences Program (RISBS) invites investigators who possess the theoretical, methodological, measurement and managerial skills, as well as organizational resources, to undertake a large-scale survey data collection project to submit proposals to conduct the General Social Survey (GSS) and the International Social Survey Program (ISSP) United States surveys.

Limit: 1 // G. Yong (Eller College of Managemen)

Limit on Number of Proposals per Organization: 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 National Science Foundation and its partners support the continued growth of a broad and diverse interdisciplinary research community for the advancement of Artificial Intelligence (AI) and AI-powered innovation, providing a unique opportunity to broadly promote the NSF vision and core values, especially inclusion and collaboration. The National Artificial Intelligence Research Institutes program has established a national network of multisector flagship centers of AI research and workforce development that address a wide range of society's grand challenges through AI-powered innovation.

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.

No Applicants /// Limit: 1 // Tickets Available: 0

There won't be a submission for this program during the June deadline. 

Limit on Number of Proposals per Organization: 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 National Science Foundation and its partners support the continued growth of a broad and diverse interdisciplinary research community for the advancement of Artificial Intelligence (AI) and AI-powered innovation, providing a unique opportunity to broadly promote the NSF vision and core values, especially inclusion and collaboration. The National Artificial Intelligence Research Institutes program has established a national network of multisector flagship centers of AI research and workforce development that address a wide range of society's grand challenges through AI-powered innovation.

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.

Limit: 3 // Tickets Available: 2

N. Rengaswamy (Electrical and Computer Engineering)

The DOE SC program in Advanced Scientific Computing Research (ASCR) announces its interest in receiving applications that advance the field of quantum computing by developing enabling end-to-end software infrastructures. This FOA solicits applications from large cross- disciplinary teams that will advance computer science toward a software stack that is ready to leverage multiple quantum technologies, or will develop mathematical foundations, algorithms, and software tools toward quantum utility [1] demonstration for applications within the DOE mission.

Research proposed in response to this FOA must primarily focus on addressing one of the two topics described below:

Topic 1 – Modular Software Stack: The diversity of quantum computing architectures and hardware technologies is expected to persist into the foreseeable future; this is an important consideration that guides the advancement of computer science sought in this topic. The development of an integrated computational ecosystem requires a general-purpose quantum software stack that is adaptable to, and takes advantage of, multiple kinds of quantum hardware. We seek basic research in computer science and applied mathematics that:

• Addresses practical and fundamental bottlenecks that hinder modularity and potential synergy among selected hardware technologies;
• Pursues general approaches to integration that may remain relevant for future technologies;
• Devises ways to embed quantum processors in parallel and distributed computing models; and
• Integrates error management across the software stack.

Topic 2 – Quantum Utility: This topic aims to advance the research towards achievement and demonstration of quantum utility [1] by developing new algorithms and fine-tuning all levels of the software stack for a selected portfolio of promising problems within the ASCR mission.

Applications should:

• Choose generalizable application-inspired target problems;
• Develop algorithms for optimized math kernels and math primitives for selected current (NISQ) and future quantum systems that significantly advance state-of-the-art performance for the selected target problems;
• Adapt, if needed, any level of the software stack for the specific target problems; and
• Estimate quantum resources by employing important complementary metrics, including energy-to-solution.

Verification protocols and tools are important for both Topic 1 and Topic 2 and should be discussed in the application.Applicants must choose and specify Topic 1 or Topic 2 as the focus of their application. In the choice of Topic 1 or 2, proposed research is encouraged to consider multiple metrics, such as qubit count, gate fidelity, and qubit connectivity.

The ceiling and floor specified below are for total costs, both direct and indirect costs.

Ceiling

$3,000,000 per year

Applications requesting more than this amount of support may be declined without further review.

Floor

$250,000 per year

Applications requesting less than this amount of support may be declined without further review.

Submit ticket request  // Limit: 1 // Tickets Available: 1 

The NSF ADVANCE program goal is to broaden the implementation of evidence-based systemic change strategies that promote equity for STEM faculty in academic workplaces and the academic profession. The NSF ADVANCE program provides grants to enhance the systemic factors that support equity and inclusion and to mitigate the systemic factors that create inequities in the academic profession and workplaces. Systemic (or organizational) inequities may exist in areas such as policy and practice as well as in organizational culture and climate. UArizona is only elegible for the Partnership Track.

• Partnership projects are expected to result in national or regional transformation in STEM academic workplaces and the academic profession and demonstrate significant reach. Partnership projects can focus on the transformation of institutions and organizations and/or the transformation within one or more STEM disciplines.

Submit ticket request  // Limit: 1 // Tickets Available: 1 

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 computational- and data-intensive research across all of science and engineering (S&E), and (2) ensure 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/or services.

• Category I, Capacity Resources: production computational resources maximizing the capacity provided to support the broad range of computation and data analytics needs in S&E research.

No Applicants  //  Limit: 1 // Tickets Available: 1 

Up to one (1) QSTD Pilot proposal may be submitted per Lead Organization.

NSF support for use-inspired and translational research in Quantum Information Science and Engineering (QISE), combined with its existing strength in support of the underlying foundational research, is anticipated to accelerate development of a market for quantum technologies.The NQVL aims to develop and utilize use-inspired and application-oriented quantum technologies. In the process, NQVL researchers will explore quantum frontiers, foster QISE workforce education and training, engage in outreach activities at all levels, and promote broadening participation, diversity, equity, and inclusion in QISE, thereby lowering barriers at all entry points of the research enterprise. 

It is required that prospective PIs contact the NQVL Program Officer as soon as possible, but not later than two weeks before submitting a proposal in response to this solicitation, to ascertain that the focus and budget of their proposal is appropriate for this solicitation.

No Applicants //  Limit: 2 // Tickets Available: 2 

Applicant institutions are limited to no more than two pre-applications and two applications as the lead institution.

The DOE SC program in Biological and Environmental Research (BER), through its Bioimaging Research effort, hereby announces its interest in receiving innovative applications to advance fundamental research or use-inspired technologies of new bioimaging or sensing approaches. Fundamental research to enhance spatial and temporal resolution, measurement speed, long-term sample stability, selectivity, sensitivity, or chemical specificity of bioimaging technologies are desirable. Proposed research should demonstrate a comparative advantage over state-of-the-art techniques or identify biological characteristics that cannot currently be measured. Quantumenabled technologies are allowed but not required in this FOA. Applications can be submitted under one of two subtopics: 1) Novel research concepts proceeding through technical validation that are not required to evaluate new biological hypotheses; 2) Innovative experimental prototype research proceeding through hypothesis-driven biological experimentation; proposals submitted under this subtopic are encouraged to coordinate with biological collaborators if domain expertise is not in-house. All applications are expected to describe how, if realized, they would advance biological knowledge of plant and microbial systems relevant to bioeconomy or environmental research in fields of study supported by BER.

Limit: 2* // Tickets Available: 2

• Science & Engineering Track - M. Van Dyke ( Bioengineering)
• Medical Research Track - M. Cai (Chemistry & Biochemistry)

Please note the internal deadline has been extended to May 8, 2024. 

*UA may submit one concept paper in Physical Sciences and Engineering and one concept paper in Medical Sciences in this cycle.
The selected projects must participate in the concept counseling session with the W.M. Keck Foundation between July 1 and August 15 to determine if they can proceed to the Phase I submission.

The W.M. Keck Foundation Research Program uses a three-step process for this opportunity. The first step is a Concept paper. The Undergraduate Education program is currently not accepting concept papers. The next steps are by the foundation’s invitation. UArizona review criteria reflect previous interactions with the W.M. Keck Foundation. Proposals should focus on basic, fundamental science with broad applications. Grants range from $1 million to $5 million and are typically $2 million or less.

The proposed work should show a significant leap forward rather than an extension of existing work.  

To be considered by Keck, applicants must have a statement from a federal program officer expressing that the project is not a good fit due to risk (rather than technical or theoretical fit) or a decline from a federal program where the summary statement or individual reviews highlight the incredible novelty, but the high-risk nature that makes it difficult to fund at the federal level.

The Science and Engineering Research Program seeks to benefit humanity by supporting high-risk/high-impact projects that are distinctive and novel in their approach to intractable problems, push the edge of their field, or question the prevailing paradigm. Past grants have been awarded to support pioneering science and engineering research and the development of promising new technologies, instrumentation, or methodologies. 

The Medical Research Program seeks to advance the frontiers of medicine to benefit humanity by supporting high-risk/high-impact projects that are distinctive and novel in their approach to intractable problems, push the edge of their field, or question the prevailing paradigm. Past grants have supported pioneering biological research, basic research, and the development of promising new technologies. The Keck Foundation does NOT fund work that is clinical, applied, or translational; treatment trials; or research for the sole purpose of drug development. 

Both senior and early career investigators are encouraged to apply. Team approaches, including interdisciplinary teams, are encouraged.