Mathematics, Computational, & Data Sciences

NSF NSF 22-622: 2023 Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science (INCLUDES) Initiative - Alliances

No applicants // Limit: 1 // Tickets Available: 1 

 

M.D. Ramirez-Andeotta ( Environmental Science) - subaward to UTexas as an Alliance proposal.

An organization may serve as a lead organization on only one proposal per project type, not including conferences.Proposals that exceed the organizational limit will be returned without review. No exceptions will be made. 

For Network Connectors, Design and Development Launch Pilots, and Conferences, full proposals must be submitted as a single submission from a lead organization, with other collaborating organizations included as subawardees. 

Collaborative Change Consortia and Alliances may submit proposals in one of two ways: 

  • a single submission from a lead organization, with other collaborating organizations included as subawardees, OR 

  • separate submissions from a lead organization and two collaborating organizations, with any additional collaborating organizations included as subawardees.

 

The INCLUDES Initiative is a comprehensive, national effort to enhance U.S. leadership in science, technology, engineering, and mathematics (STEM) discovery and innovation, focused on NSF’s commitment to ensuring accessibility and inclusivity in STEM fields, as communicated in the NSF Strategic Plan for Fiscal Years (FY) 2022 - 2026. The vision of the INCLUDES Initiative is to catalyze the STEM enterprise to work collaboratively for inclusive change, resulting in a STEM workforce that reflects the diversity of the Nation’s population. More specifically, the INCLUDES Initiative seeks to motivate and accelerate collaborative infrastructure building to advance equity and sustain systemic change to broaden participation in STEM fields at scale. Significant advancement in the inclusion of groups that have historically been excluded from or underserved in STEM will result in a new generation of STEM talent and leadership to secure the Nation’s future and long-term economic competitiveness. 

With this solicitation, NSF offers support for five types of projects that connect and contribute to the National Network: (1) Design and Development Launch Pilots, (2) Collaborative Change Consortia, (3) Alliances, (4) Network Connectors, and (5) Conferences. The INCLUDES National Network is a multifaceted collaboration of agencies, organizations, and individuals working collectively to broaden participation in STEM. The INCLUDES National Network serves as a testbed for designing, implementing, studying, refining, and scaling collaborative change models and is composed of:

Funding Type
Internal Deadline
External Deadline
10/24/2023
Solicitation Type

NSF 23-610: 2024 National Artificial Intelligence (AI) Research Institutes - Group 2 - Theme 3 : Strengthening AI

Institutionally coordinated // Limit 1 // PI: J. M. Wang-Roveda (Electrical and Computer Engineering)
 

Institutionally coordinated submission. Contact RDS for more information.
Number of pre-proporsals allowed as lead institution: two

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI research and development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements.

The 2023 update to the National Artificial Intelligence Research and Development Strategic Plan, informed by visioning activities in the scientific community as well as interaction with the public, identifies as its first strategic objective the need to make long-term investments in AI research in areas with the potential for long-term payoffs in AI. AI Institutes represent a cornerstone Federal Government commitment to fostering long-term, fundamental research in AI while also delivering significantly on each of the other eight objectives in that strategy. The National Security Commission on Artificial Intelligence (NSCAI) identifies AI Institutes as a key component of a bold, sustained federal push to scale and coordinate federal AI R&D funding and to reinforce the foundation of technical leadership in AI.

This program is a multisector effort led by the National Science Foundation (NSF), in partnership with the Simons Foundation (SF), the National Institute of Standards and Technology (NIST), Department of Defense (DOD) Office of the Under Secretary of Defense for Research and Engineering (OUSD (R&E)), Capital One Financial Corporation (Capital One), and Intel Corporation (Intel).

This program solicitation expands the nationwide network of AI Research Institutes with new funding opportunities over the next two years. In this round, the program invites proposals for institutes that have a principal focus in one of the following themes aimed at transformational advances in a range of economic sectors, and science and engineering fields:

  • Group 1 - Awards anticipated in FY 2024:
    • Theme 1: AI for Astronomical Sciences
       
  • Group 2 - Awards anticipated in FY 2025:
    • Theme 2: AI for Discovery in Materials Research
    • Theme 3: Strengthening AI
Funding Type
Internal Deadline
External Deadline
01/12/2024
Solicitation Type

NSF 23-623: 2023 Competition for the Management of Operation and Maintenance of the National Geophysical Facility

No applicants  // Limit: 1 // Tickets Available: 1 

An organization may only submit 1 proposal as the lead. There is no limit on the number of proposals on which an organization can be included as a sub-recipient.

The National Science Foundation (NSF) is soliciting proposals for managing the operation and maintenance of the National Geophysical Facility (hereafter referred to as NGF) an NSF-funded major facility. The NGF is designed to enable the research community to ask, and address, questions about a variety of Earth processes from local to global scales. NGF will operate global and regional networks of sensors; provide a lending library of instrumentation and support services to enable PI-led field experiments; support archiving, quality control, and delivery of geophysical data and data product development; and provide education, outreach, workforce development, and community engagement activities that serve a wide range of audiences. NGF will be a single facility, with a single operator that will succeed NSF’s current geophysical facilities, the Seismological Facility for the Advancement of GEoscience (SAGE) and the Geodetic Facility for the Advancement of GEoscience (GAGE).

The award recipient will work closely with NSF and the scientific community to ensure that NGF capabilities support, and advance, Earth Sciences and related disciplines. In cooperation with NSF, and within available resources, the recipient will plan and execute a viable, coherent, and inclusive program to: (1) streamline the management and operations of existing geophysical facility capabilities into one consolidated geophysical facility; (2) enhance existing facility capabilities in instrumentation, data services and cyberinfrastructure; and (3) implement a bold vision to broaden participation and foster a culture of equity and inclusion in the Earth Sciences and related disciplines.

The NSF Division of Earth Sciences (EAR) in the Directorate for Geosciences (GEO) has primary responsibility for the programmatic oversight of NGF and activities will be coordinated with the Division of Ocean Sciences (OCE), Division of Atmospheric and Geospace Sciences (AGS), and Office of Polar Programs (OPP). 

A single award will be made as a cooperative agreement with a duration of five years. NSF may renew the award for an additional five years, subject to availability of funds, the recipient's satisfactory performance, and review of a cost proposal for the second 5-year period. NSF’s decision will be informed by the National Science Board Statement on Recompetition of Major Facilities (NSB 2015-45 or its successor).
 

For planning purposes, proposers can assume a base budget of approximately $39.5 million during the first year of the award, beginning October 2025 and should plan for no more than a 6% budget increase in each of the subsequent years. All budget amounts given herein are tentative and for initial planning purposes only. Actual annual funding increments will be determined based on the detailed cost estimate required per Section VII.C below and an Annual Plan and Budget submitted by the recipient to, and approved by, NSF. Funding increments are subject annually to the availability of funds and will be contingent on the performance of the recipient. Ongoing recapitalization of instrumentation, and escalation factors used for cost estimating, should be articulated in the Cost Estimating Plan.

Transition funding of up to $1,000,000 for a duration of up to six (6) months will be available for organizations other than the incumbent organization. Relevant transition activities include interviewing and hiring personnel, establishing subcontracts, transferring data and property, and obtaining permits and licenses. Should a transition period be necessary, the incumbent will retain responsibility for management of NGF and the new recipient will have the appropriate level of access to incumbent personnel and facilities associated with NGF as determined by NSF. The funding request for a transition period should be made within the Transition Plan and should not be included in the formal cost estimate or proposed budget for the initial 5-year period but must conform to the same requirements.

Funding Type
Internal Deadline
External Deadline
12/01/2023 - Required Letter of Intent (LOI)
Solicitation Type

2024 US National Awards: Blavatnik Awards for Young Scientists

Institutionally Coordinated // Limit: 3* // PI:  E-J. Lee (Electrical and Computer Engineering)

 

*UArizona is invited to submit up to three nominations, one for each of the three disciplinary categories: Life Sciences; Physical Sciences & Engineering; and Chemistry.

The Blavatnik National Awards for Young Scientists recognize the United States' most promising faculty-rank researchers in Life Sciences, Physical Sciences & Engineering, and Chemistry. One Blavatnik National Awards Laureate in each disciplinary category will receive $250,000 in unrestricted funds, and additional nominees will be recognized as Finalists.

Interested applicants or nominators should contact Marie Teemant, Associate, Research Development Services.

ORAU 2024 Ralph E. Powe Junior Faculty Enhancement Awards

Limit: 2  // PIs: 
Kenry (Pharmaceutics & Pharmacokinetics)
S. Song (Biomedical Engineering)

 

Only two nominations are allowed per institution.

These competitive research awards provide seed money for junior faculty members that often result in additional funding from other sources. The award amount provided by ORAU is $5,000. The applicant’s institution is required to match the award with at least an additional $5,000. This is a one-year grant (June 1 to May 31).

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

Research projects must fall within one of these five disciplines:

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

Junior faculty members interested in applying should consult their ORAU Councilor, and visit the frequently asked questions.

Funding Type
Internal Deadline
External Deadline
01/08/2024

NSF 23-608: 2023 Predictive Intelligence for Pandemic Prevention Phase II (PIPP Phase II Centers Program)

Limit: 1  // PI: M. Chertkov (Mathematics)

 

Uarizona may submit one proposal.

Despite decades of research, scientists do not fully understand the dynamic nature of pathogen and disease emergence. Emerging (and re-emerging) pathogens represent a continuing risk to national security because they threaten health (animal, human, and ecosystem) and economic stability. Often, society falls short on the coordination and breadth of expertise needed to respond to such threats. Effective responses to emerging pathogens will require sustained, global-scale efforts of researchers and organizations. This can only be accomplished by synergistic integration of innovative scientific and technological advances across disciplines and scales, and effective knowledge transfer into practice. As part of these efforts, NSF is organizing a set of activities around the broad theme of Predictive Intelligence for Pandemic Prevention (PIPP).

The PIPP initiative focuses on foundational research and development activities needed to tackle grand challenges in infectious disease pandemics through prediction and prevention. The PIPP Phase II Centers Program expands upon the Phase I Development Grant Program and is the NSF's flagship program to establish a network of Centers or large-scale awards/investments that will support interdisciplinary team-based approaches to accelerate research and development activities in emerging infectious diseases and pandemics. The overall goal of the PIPP Phase II Centers program is to support research and development activities needed to transform society's ability to forecast the likelihood of pandemic-scale events, detect outbreaks early, and respond efficiently.

Continued advancement, enabled by sustained federal investment channeled toward issues of national importance holds the potential for further economic impact and public health improvements.

Informed by visioning activities in the scientific community as well as a previous round of development grant activities (PIPP Phase I), the program invites proposals for Centers that have a principal focus in one of the following multidisciplinary themes:

Theme 1: Pre-emergence - Predicting and detecting rare events in complex, dynamical systems

Theme 2: Data, AI/ML and Design - Computing, manufacturing and technology innovation for pandemics

Theme 3: The Host as the Universe - Identifying host-pathogen tipping points that dictate control or spread of an infection

Theme 4: Human Systems - The role of human behavior, activities and environments in disease emergence, transmission, and response or mitigation

These components directly support the NSF's strategic goals by funding cutting edge science aimed at societal challenges and opportunities that face the Nation, while concurrently working to develop a globally competitive and diverse science, engineering and technology-adept workforce.

The Directorates for Biological Sciences (BIO), Computer Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE), and Mathematics and Physical Sciences (MPS) are jointly collaborating to support the PIPP Phase II activities. Involvement of and collaboration with other research communities with significant effort in related spaces, including use-inspired research is highly encouraged.

Funding Type
Internal Deadline
External Deadline
08/25/2023
Solicitation Type

NSF 23-610: 2023 National Artificial Intelligence (AI) Research Institutes - Group 1 - Theme 1: AI for Astronomical Sciences

Institutionally coordinated  // Limit: 2 // PI: A. Zabludoff (Astronomy)

Institutionally coordinated submission. Contact RDS for more information.
Number of pre-proporsals allowed as lead institution: two

Artificial Intelligence (AI) has advanced tremendously and today promises personalized healthcare; enhanced national security; improved transportation; and more effective education, to name just a few benefits. Increased computing power, the availability of large datasets and streaming data, and algorithmic advances in machine learning (ML) have made it possible for AI research and development to create new sectors of the economy and revitalize industries. Continued advancement, enabled by sustained federal investment and channeled toward issues of national importance, holds the potential for further economic impact and quality-of-life improvements.

The 2023 update to the National Artificial Intelligence Research and Development Strategic Plan, informed by visioning activities in the scientific community as well as interaction with the public, identifies as its first strategic objective the need to make long-term investments in AI research in areas with the potential for long-term payoffs in AI. AI Institutes represent a cornerstone Federal Government commitment to fostering long-term, fundamental research in AI while also delivering significantly on each of the other eight objectives in that strategy. The National Security Commission on Artificial Intelligence (NSCAI) identifies AI Institutes as a key component of a bold, sustained federal push to scale and coordinate federal AI R&D funding and to reinforce the foundation of technical leadership in AI.

This program is a multisector effort led by the National Science Foundation (NSF), in partnership with the Simons Foundation (SF), the National Institute of Standards and Technology (NIST), Department of Defense (DOD) Office of the Under Secretary of Defense for Research and Engineering (OUSD (R&E)), Capital One Financial Corporation (Capital One), and Intel Corporation (Intel).

This program solicitation expands the nationwide network of AI Research Institutes with new funding opportunities over the next two years. In this round, the program invites proposals for institutes that have a principal focus in one of the following themes aimed at transformational advances in a range of economic sectors, and science and engineering fields:

  • Group 1 - Awards anticipated in FY 2024:
    • Theme 1: AI for Astronomical Sciences
       
  • Group 2 - Awards anticipated in FY 2025:
    • Theme 2: AI for Discovery in Materials Research
    • Theme 3: Strengthening AI
Funding Type
Internal Deadline
External Deadline
10/31/2023
Solicitation Type

NSF 23-604: 2023 National Quantum Virtual Laboratory (NQVL), Quantum Science and Technology Demonstrations (QSTD): I. Pilot Phase

Limit: 1  // PI selected:  M. Eichenfield (Optical Sciences)

 

 

Number of applications allowed per institution: 1

The NSF is introducing the National Quantum Virtual Laboratory (NQVL) concept as an overarching shared infrastructure designed to facilitate the translation from basic science and engineering to the resultant technology, while at the same time emphasizing and advancing its scientific and technical value. The NQVL aims to develop and utilize use-inspired and application-oriented quantum technologies. In the process, NQVL researchers will explore quantum frontiers, foster Quantum Information Science and Engineering (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.

The engagement of the entire United States (U.S.) QISE community will be necessary for this initiative to succeed, and, indeed, the project is designed to include participation from a full spectrum of organizations who have expertise to contribute. In particular, NSF recognizes that the involvement of industry partners is essential and will welcome these to be a part of the overall structure. Partnerships with other U.S. Federal agencies under the NQI umbrella are also encouraged.

This solicitation lays out a vision for the entire NQVL program that includes Quantum Science and Technology Demonstration (QSTD) projects, support for enabling technologies through Transformative Advances in Quantum Systems (TAQS), as well as a central coordination hub. Proposals for Pilot phase QSTDs are solicited at this time.

This opportunity is for Pilot phase QSTD proposals only.
QSTD Pilot awards may be funded at a level up to $1,000,000 for 12 months per project.

Funding Type
Internal Deadline
External Deadline
10/06/2023
Solicitation Type

DoD W911NF-23-S-0014 : 2023 Research and Education Program for Historically Black Colleges and Universities and Minority-Serving Institutions (HBCU/MI) - Equipment/Instrumentation

Limit: 3  // PIs selected: 
Shafae & Satam (Center for Semiconductor Manufacturing)
H.Rastgoftar (Aerospace and Mechanical Engineering)
Y. Vitaliy (Aerospace and Mechanical Engineering) 

 

Number of applications allowed per institution: 3

The Department of Defense (DoD) is soliciting applications for the acquisition of equipment/instrumentation under the Fiscal Year 2024 Research and Education Program for HBCU/MI. The Research and Education Program is designed to enhance the research capabilities of HBCUs and MIs and to strengthen their STEM education programs. The purpose of funding under this Funding Opportunity Announcement (FOA) is to (1) support the acquisition of equipment/instrumentation to augment existing capabilities or to develop new capabilities in research areas of interest to DoD, and (2) attract students to pursue studies leading to STEM careers. Although funding provided under this FOA cannot be used for student support, in order to further DoD’s objective of attracting students to pursue studies leading to STEM careers, applicants must address the impact of the requested equipment/instrumentation on student participation in research. 

DOE DE-FOA-0003040: 2023 Scientific Infrastructure Support for Consolidated - General Scientific Infrastructure (GSI) Support for Universities

No applicants // Limit: 1 // Tickets Available: 1 

 

UArizona may submit one proposal to the  to the GSI track. UA not eligible for research reactor track.

 

 

The Office of Nuclear Energy (NE) mission is to advance nuclear energy science and technology to meet U.S. energy, environmental, and economic needs. DOE intends to facilitate the education and training of nuclear scientists, engineers, and policy-makers through graduate and undergraduate study, two-year programs, and R&D that is relevant to the Department and the U.S. nuclear energy industry in general. Within Nuclear Energy University Program (NEUP), the specific goals of this Infrastructure FOA are: 

  • To support, maintain, or enhance the institution’s capacities to attract and teach high quality students interested in nuclear energy-related studies;
  • Build the institution’s research or education capabilities; and
  • Enhance the institution’s capabilities to perform R&D that is relevant to NE’s mission.

The average GSI award will be approximately $250,000 for the total project period. No Cost Share / 1:1 Cost Match >$250k**. 

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