Mathematics, Computational, & Data Sciences

Apply to internal competition  // Limit: 2 // Tickets Available: 0

D. Glickenstein (Mathematics) - Competitive Resubmission, Track 3:  Inter-institutional Consortia
K. Odgen (Chemical & Environmental Engineering)

Limit on Number of Proposals per Organization: 2

An institution may submit up to two proposals (either as a single institution or as a subawardee or a member of an inter-institutional consortia project (lead or co-lead) for a given S-STEM deadline. Multiple proposals from an institution must not overlap with regard to S-STEM eligible disciplines. See Additional Eligibility Information below for more details (see IV. Eligibility Information).
Institutions with a current S-STEM award should wait at least until the end of the third year of execution of their current award before submitting a new S-STEM proposal focused on students pursuing degrees in the same discipline(s).
The above restrictions do not apply to collaborative planning grant proposals.

Summary: The main goal of the S-STEM program is to enable low-income students with academic ability, talent or potential to pursue successful careers in promising STEM fields. Ultimately, the S-STEM program seeks to increase the number of academically promising low-income students who graduate with a S-STEM eligible degree and contribute to the American innovation economy with their STEM knowledge. Recognizing that financial aid alone cannot increase retention and graduation in STEM, the program provides awards to institutions of higher education (IHEs) not only to fund scholarships, but also to adapt, implement, and study evidence-based curricular and co-curricular1 activities that have been shown to be effective supporting recruitment, retention, transfer (if appropriate), student success, academic/career pathways, and graduation in STEM.

Social mobility for low-income students with academic potential is even more crucial than for students that enjoy other economic support structures. Hence, social mobility cannot be guaranteed unless the scholarship funds the pursuit of degrees in areas where rewarding jobs are available after graduation with an undergraduate or graduate degree.

The S-STEM program encourages collaborations, including but not limited to partnerships among different types of institutions; collaborations of S-STEM eligible faculty, researchers, and academic administrators focused on investigating the factors that affect low-income student success (e.g., institutional, educational, behavioral and social science researchers); and partnerships among institutions of higher education and business, industry, local community organizations, national labs, or other federal or state government organizations, as appropriate.

S-STEM Eligible Degree Programs
Associate of Arts, Associate of Science, Associate of Engineering, and Associate of Applied Science
Bachelor of Arts, Bachelor of Science, Bachelor of Engineering and Bachelor of Applied Science
Master of Arts, Master of Science and Master of Engineering
Doctoral (Ph.D. or other comparable doctoral degree)

S-STEM Eligible Disciplines
Disciplinary fields in which research is funded by NSF, including technology fields associated with the S-STEM-eligible disciplines (e.g., biotechnology, chemical technology, engineering technology, information technology, etc.).
The following degrees and disciplines are excluded: 

• Clinical degree programs, including medical degrees, nursing, veterinary medicine, pharmacy, physical therapy, and others not funded by NSF, are ineligible degrees.
• Business school programs that lead to Bachelor of Arts or Science in Business Administration degrees (BABA/BSBA/BBA) are not eligible for S-STEM funding.
• Masters and Doctoral degrees in Business Administration are also excluded.

No Applicants // Limit: 3 // Tickets Available: 3 

**Please note, 1907 Foundation would like all applicants to additionally apply in Atala with the same five-part application (regardless of if they are selected in this internal competition) so they can share their ideas with other funding organizations who use Atala. Register in the Atala system and submit your application prior to April 15, 2024.

The 1907 Trailblazer Award was established to encourage high-impact, step-change approaches to research in the brain and mind sciences for psychiatric health. In addition to supporting a specific research project, the Award intends to increase the size of the talent pool of early career investigators researching causes & cures for psychiatric illness. The 1907 Foundation promotes these aims by providing a $100,000 research grant on an unrestricted basis, a $20,000 prize to enhance the economic security of the scientist, and travel & expense coverage for attendance to in-person annual meetings. Each winner will be invited to present interim findings (year 1) and final findings (year 2), where they can form scientific relationships with other Fellows, the Science Innovation Committee and the Science Selection Committee. The Foundation aims to build community and provide value to the scientist in excess of the monetary element.

1907 Foundation fosters a culture of innovation, encourages risk-taking and assesses applications based on the merit of the novel idea, not the identity of the applicant. It seeks to attract scientists who can think creatively across disciplines and who are motivated to swim against the tides of consensus. 1907 Foundation wants to see your outside-the-box ideas and methods, and encourages applicants who have never received a major grant to apply.

Projects must be grounded in the study of biological mechanisms underlying brain function, cognitive processes, and/or consciousness. Supported projects are for basic science in addition to near-term applications (e.g. disruptive technologies and potential clinical interventions).

• UArizona may nominate three individuals.
• 1907 Foundation strongly encourages faculty with specialization outside of psychiatry to apply as well (e.g. endocrinology, genetics, radiology, etc.) and outside of medicine (e.g. psychology, neuroscience, engineering, informatics, physics, maths, etc.) to apply.
• Eligibility:
  • Applicants must be within ten years of the date when PhD/MD degree was awarded (whichever came later and with exceptions for maternity leave, paternity leave and other excused absences).For clinical scientists, the 10-year clock starts upon completion of all residency and fellowships.
    • Please use February 23, 2024, as the end date for calculation of the 10-year period.
• Funding:
  • Awards of $100,000 will be made to successful applicants, via their institutions, for research costs. Funding is to be spent over a two-year duration and can support (examples):
  • Stipends for research staff within the Award recipient’s lab
  • Equipment, supplies, laboratory costs and/or technician
  • Imaging costs
  • Publication fees
  • Patient participant expenses
  • Travel
  • In addition to the $100,000, US$20,000 will be awarded as a cash prize payable directly to the recipient (50% after year 1, 50% after year 2). Lastly, 1907 Foundation will cover travel and expenses for in-person annual meetings.
  • As a charitable organization, 1907 Foundation prefers that institutions do not apply indirect costs or overheads to these awards. They ask that applicants gain the agreement of their department head that the Award can be used by the Awardee. If some contribution to indirect costs is needed, the letter of support should state how much of the $100,000 (up to a maximum $10,000) will be used in this way and explain why. Administrative overhead will not count against an Applicant so long as it falls within $10,000.

Submit ticket request  // Limit: 2 // Tickets Available: 2

This three-phase competition will award up to $4 million to competitors to substantially increase the production and use of critical materials recovered from electronic scrap—or e-scrap. This prize encourages innovations that enhance the recovery of critical materials along the recycling value chain from end-of-life products to reintroduction. This internal competition is to determine two UT Austin candidates for Phase 1: Incubate Contest.

Phase 1 – Incubate:

Competitors will propose solutions that substantially increase the amount of recovered critical materials from e-scrap used in U.S. manufacturing. Up to 10 winners will receive $50,000 in cash and $30,000 in national laboratory analysis support.

In Review // Limit: 4 * // Tickets Available: 3

Track 1: P. Haenecour ; T. Bheemasetti

Track 2: J. Schaibley

Track 3: M. Ibañez-Mejia 

Internal deadline has been extended to June 26, 2024.

*Number of proposals allowed per organization: Four.

• No more than two submissions in Track 1 (Track 1 MRI proposals are those that request funds from NSF greater than or equal to $100,000 and less than $1,400,000).
• No more than one submission in Track 2 (Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000). 
• Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,0001 and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.

The Major Research Instrumentation (MRI) Program (MRI Program Website) serves to increase access to multi-user scientific and engineering instrumentation for research and research training in our Nation's institutions of higher education and not-for-profit scientific/engineering research organizations. An MRI award supports the acquisition of a multi-user research instrument that is commercially available through direct purchase from a vendor, or for the personnel costs and equipment that are required for the development of an instrument with new capabilities, thereby advancing instrumentation capabilities and enhancing expertise for instrument design and fabrication at academic institutions. MRI instruments are, in general, too costly and/or not appropriate for support through other NSF programs.

MRI provides support to acquire critical research instrumentation without which advances in fundamental science and engineering research may not otherwise occur. MRI also provides support to obtain next-generation research instruments by developing instruments with new capabilities that open new opportunities to advance the frontiers in science and engineering research. Additionally, an MRI award is expected to enhance research training of students who will become the next generation of instrument users, designers and builders.

An MRI proposal may request from NSF up to $4 million for either acquisition or development of a research instrument. Each performing organization may submit in revised "Tracks" as defined below, with no more than two (2) submissions in Track 1 and no more than one (1) submission in Track 2. For the newly defined Track 3, no more than one (1) submission per competition is permitted.  As a result, it is now possible for an institution to submit up to four MRI proposals within the Track limits as described above.

• Track 1: Track 1 MRI proposals are those that request funds from NSF greater than $100,000[1] and less than $1,400,000.
• Track 2: Track 2 MRI proposals are those that request funds from NSF greater than or equal to $1,400,000 up to and including $4,000,000.
• Track 3: Track 3 MRI proposals are those that request funds from NSF greater than or equal to $100,000[1] and less than or equal to $4,000,000 that include the purchase, installation, operation, and maintenance of equipment and instrumentation to conserve or reduce the consumption of helium. Track 3 is an institutionally coordinated submission and won't be part of the internal competition.

  Institutions may submit no more than one Track 3 proposal. Submission of a Track 3 proposal does not impact limits that apply for Track 1 and Track 2 proposals.

Cost sharing requirements for new awards in the MRI Program are waived for a period of 5 years beginning with the FY 2023 MRI competition. Institutional submission limits for Track 1, Track 2 and Track 3 proposals remain.

The MRI Program especially seeks broad representation of groups, institutions, and geographic regions that are underrepresented in STEM disciplines. Proposals from women, underrepresented minorities, persons with disabilities and early-career PIs are encouraged, as are proposals that benefit early-career researchers and proposals with PIs from geographically underserved regions, including EPSCoR jurisdictions. Additionally, proposals are encouraged from under-resourced institutions, including from emerging research institutions, where MRI can significantly build capacity for research

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

Limit on Number of Proposals per Organization: 1

The purpose of this solicitation is to broaden participation in innovation ecosystems that advance key technologies (e.g., advanced manufacturing, advanced wireless, artificial intelligence, biotechnology, quantum information science, semiconductors, novel materials, and microelectronics) by supporting capacity-building efforts at institutions of higher education (IHEs) interested in growing external partnerships. Creation of this program is motivated by the commitment of the National Science Foundation (NSF), including the newly established NSF Directorate for Technology, Innovation and Partnerships (TIP), to accelerate scientific and technological innovation nationwide and empower all Americans to participate in the U.S. research and innovation enterprise. Establishing more inclusive innovation ecosystems will require broad networks of partners working together in support of use-inspired research; the translation of such research to practice or commercial application; and the development of a skilled workforce. The NSF Regional Innovation Engines (NSF Engines) program, housed within the TIP Directorate, seeks to grow inclusive innovation ecosystems around the country. Growing such ecosystems will only be successful if all interested IHEs within a region are able to participate and contribute their unique set of skills and expertise. However, NSF appreciates many Minority-Serving Institutions (MSIs), Predominantly Undergraduate Institutions (PUIs), and two-year institutions lack the infrastructure and resources needed to grow external partnerships and effectively contribute to innovation ecosystems, and thus are currently unable to effectively engage with the NSF Engines program.

This solicitation aims to provide MSIs, PUIs, and two-year institutions with limited or no research capacity (see Section IV for details) with the support necessary to become equitable partners with teams competing under the current and subsequent NSF Engines program funding opportunities. Importantly, participation in this solicitation is not predicated on an existing partnership with organizations submitting an NSF Engines proposal. Rather, it is expected that the capacity-building efforts funded under this solicitation will provide significant innovation partnership opportunities irrespective of future participation in an NSF Engine.

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.