Physical Sciences & Engineering

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

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.

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. 

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**. 

D. Sand (Astronomy)
J. Su  ( Optical Sciences)

The University of Arizona may submit up to two nominations.

the Polymaths Program intends to make long-term bets on professors who have recently achieved tenure or an equivalent status with remarkable track records, promising futures, and a desire to explore interdisciplinary research. Each Polymath is awarded $500,000 per year for up to five years, paid through their institution. These funds are intended to make possible the exploration of new ideas across disciplines, using emerging technologies and insights to test bold hypotheses that may not otherwise receive funding or support. To find out more about the program and our current Polymaths, please visit our website.

We ask that you only nominate exceptional candidates who satisfy the following criteria:

1. Have achieved tenure or an equivalent status within the past three calendar years (2020 or later),
2. Have a remarkable record of accomplishment in area(s) of science and engineering,
3. Have a demonstrated history of pursuing and publishing results in more than one field,
4. Demonstrate a need for additional funding to enable new experiments, explorations, or shifts in research directions.

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

UArizona may submit one proposal to this funding program. 

The national cyberinfrastructure (CI) ecosystem is essential to computational- and data-intensive research across all science and engineering (S&E) domains. The CI ecosystem is highly dynamic, driven by rapid advances in a wide range of technologies, increasing volumes of highly heterogeneous data, and escalating demands for CI resources and services by the research community. Innovations in CI are consequently key catalysts for new modes of discovery and play a critical role in ensuring U.S. leadership in science, engineering, economic competitiveness, and national security, consistent with NSF's mission. It is thus imperative that CI innovations become available, in a coordinated and sustainable manner, as part of the NSF-funded advanced CI ecosystem.

The Advanced Cyberinfrastructure Coordination Ecosystem of Support and Services (ACCESS) program provides an array of national-scale CI services to the S&E research community, including integrated coordination of users’ requests for computational and data resources; integration of resource providers’ systems; deployment of technical support; monitoring of system usage; user training; and communication and outreach to the CI and research communities. The ACCESS program is envisioned to include a process to enable breakthrough CI innovations of recognized value to researchers to be translated into production-quality sustained services that are deployed and made available to the user community from applicable NSF-funded resource providers. Such a process would also include methods to prioritize which innovations to translate to production services and to identify when these services should be taken out of service or replaced.  

This CITAP solicitation is focused on the translation of innovative research CI software – such as system software, libraries, application codes, and software enabling data services. NSF seeks proposals that aim to design, test, and subsequently operate a pathway service within the ACCESS program that manages and accelerates the translation of promising research CI software to production-quality services across the NSF advanced CI ecosystem in support of the NSF S&E research community. CITAP proposals are expected to create a new workflow process (represented notionally in Figure 1 below) within the ACCESS program that: (1) identifies novel CI software from diverse sources in a strongly community-informed way; (2) establishes an open and merit-based process for selecting and prioritizing/sequencing which of the identified innovations are of highest and most immediate value to users of the advanced CI ecosystem and can be feasibly translated to production level and made available for use by researchers using ACCESS resources; and (3) establishes an operational process that translates innovations into production services, including creation of partnerships where necessary to address each of the technical challenges and intellectual property (IP) considerations faced when integrating novel CI software within the advanced CI ecosystem.

Examples of translation challenges include (but are not limited to): awareness by potential users who could benefit from the technology; systems engineering and software deployment; an initial launch period of collaborative maintenance; anticipation of user support that will be necessary; engagement of people or possibly organizations needed to sustain and upgrade the software/service in response to changes in technology and/or feedback from users and communities served; and determination of when the relative use or value of the software has decreased to an extent that decommissioning is warranted. The pathway must also be designed to evolve as the types of systems and services that are part of the NSF-funded production advanced CI ecosystem evolve and expand.

Limit: 1  // PI selected: T. M. Bishop (Cooperative extension Gila County - Globe / Gila County - Payson, 4-H Youth Development)

UArizona may submit one proposal.

NIFA requests applications for the Agriculture in the Classroom (AITC) program for fiscal year (FY) 2023 to increase agricultural literacy through K-12 education. The anticipated amount available for FY 2023 is approximately $960,000 and will support funding for the initial year. Continuation funding of similar funding levels may be awarded for an additional three years provided performance has been satisfactory, appropriations are available for this purpose, and continued support is in the best interests of the Federal government and the public. Applications should be submitted for the full four years. USDA is not committed to fund any particular application or to make a specific number of awards.

The disciplines of agriculture and education have been related for much of our nation's history. When most Americans lived on farms or in small towns, students often did farm chores before and after school. Old schoolbooks have numerous agricultural references. As the farming population began to decline, agricultural emphasis decreased in educational materials as well.

A core group of educators and agriculturalists pushed for more youth education about agriculture. They recognized the interlocking role of farming and food and fiber production with environmental quality, which included wildlife habitat, clean water, and the preservation of forests.

NIFA's AITC serves nearly five million students and 60,000 teachers in developing awareness and skills as they relate to food, agriculture, and disciplines supportive of the agricultural enterprise. AITC supports this awareness through workshops, conferences, field trips, farm tours, and other educational activities and includes working with state AITC organizations and activities engaged in a variety of issues relating to agricultural literacy.

This notice identifies the objectives for AITC projects, deadlines, funding information, eligibility criteria for projects and applicants, and application forms and associated instructions.

M. Fox (Center of Excellence in Data for Society).

UofA may submit one proposal as the lead organization. 

The National Science Foundation (NSF) is looking for an organization that can help develop, launch, and run a “Builder Platform” to support its NSF Regional Innovation Engines (NSF Engines) awardees, a signature initiative of NSF’s Technology, Innovation, and Partnerships (TIP) directorate. The goal of the NSF Engines program is to spur the development of inclusive and diverse innovation ecosystems across the country, with an intentional focus on regions that have not fully participated in the tech boom of past decades. The NSF Engines Builder Platform and accompanying team will be responsible for providing the tailored support structures, networks, and services needed by and vital to the growth of individual NSF Engines. The NSF Engines Builder Platform has been planned as a human-centered portfolio of support structures that empower awardees with the tools, skills, networks, and capital needed to thrive

M. McClaran (School of Natural Resources and the Environment, Arizona Experiment Station)

UArziona may submit one proposal to this funding program.

The purpose of the Research Facilities Act Program (RFAP) is to assist qualifying institutions with the costs related to constructing, purchasing, updating, renovating, or modifying agricultural research buildings to conduct research in the areas of agriculture and food sciences. The proposed agricultural research facility must expand the institution's capacity for long-term impactful research and must be the result of thorough strategic planning. Awards may be used to fund the construction of buildings or sites for agricultural research facilities or other facilities that store agricultural research experimental samples or specimens, as well as the purchase of real estate or durable equipment. Activities might include, but are not limited to:

1. Evaluating infrastructure and sites.
2. Conceptual planning and design for a newly constructed, restored, or rebuilt structure or place.
3. Creating construction plans and schematics for the facility or site that is being built, restored, or rebuilt.
4. Building, restoring, or remodeling a facility or location.
5. Investing in and putting in permanent equipment for research monitoring and safeguarding samples and specimens.
6. Investing in and putting in essential building systems like electricity, climate control, security, life safety, lighting, utilities, telecommunications, and energy management.

Match Required – Applicants MUST provide at least 100% matching contributions on a dollar-for-dollar basis for all Federal funds awarded under the Research Facilities Act Program. The non-Federal share must be paid in cash and may include funding from private sources or from units of State or local government. In-kind matching will not be considered.

Range of Awards: $75,000 - $500,000

J. Barton (BOI5 Instiutue) 

UArizona may submit one proposal to this funding program.

BioFoundries is an infrastructure program from the National Science Foundation (NSF) that is designed to accelerate advances in the biological sciences, chemical biology, biotechnology, and bioengineering via access to modern infrastructure, technology, and capacity. BioFoundries will provide the intellectual, technical, digital, and physical frameworks needed for tight integration of technology innovations and applications with foundational interdisciplinary research and training, by: 

1. serving as access points for new biological technologies, workflows, processes, automations, and knowledge-bases to enable transformative discoveries;
2. catalyzing new innovations and transformative discoveries by supporting in-house and external user-initiated research programs that take full advantage of technological and methodological advances;
3. continuing to develop novel technologies, workflows, processes, automations, and knowledge-bases that are both forward-looking and user-responsive;
4. increasing the reproducibility of life science discoveries and data and knowledge sharing capabilities;
5. training the next generation of the scientific workforce; and
6. facilitating pathways to translation.

Leveraging lessons learned from existing national and international biofoundries, NSF encourages researchers to consider a diversity of models (centralized, distributed, consortium) in the design and implementation of BioFoundries. Each BioFoundry should enclose a scientific ecosystem, that includes in-house research scientists across all relevant disciplines supported by NSF, technical staff including cyberinfrastructure experts, external users, and other contributors who, collectively, form a community of practitioners and share tools, reagents, workflows, software, samples, and data. Knowledge sharing should be a central tenet, designed to strengthen collaborations among researchers and enable them to work in new ways and to foster new modalities of research and education/training, for the purpose of accelerating discovery and advancing development. BioFoundries should promote diversity, equity, inclusion, and accessibility in their in-house programs and external user programs. BioFoundries should also promote new avenues for translating such knowledge and technology broadly in ways that benefit society.