Mathematics, Computational, & Data Sciences

Limit: 1// R. Liang (Wyant College of Optical Sciences)

*UA may submit one proposal under the Research Partnerships track. There is no institutional limitation on the Technology Translation track.

If you don’t have a demonstrated and substantial industry relationship as required for a PFI submission, please reach out to Brian Adair(link sends e-mail) or Lindsay Ridpath(link sends e-mail), to help develop those connections so that your proposal is competitive. PFI proposals are accepted three times per year and you may be better served by strengthening your industry relationship and waiting for the next cycle.

The Partnerships for Innovation (PFI) Program within the Division of Translational Impacts (TI) offers researchers from all disciplines of science and engineering funded by NSF the opportunity to perform translational research and technology development, catalyze partnerships and accelerate the transition of discoveries from the laboratory to the marketplace for societal benefit.

The Research Partnerships (PFI-RP) track seeks to achieve the same goals as the PFI-TT track by supporting instead complex, multi-faceted technology development projects that are typically beyond the scope of a single researcher or institution and require a multi-organizational, interdisciplinary, synergistic collaboration. A PFI-RP project requires the creation of partnerships between academic researchers and third-party organizations such as industry, non-academic research organizations, federal laboratories, public or non-profit technology transfer organizations or other universities. Such partnerships are needed to conduct use-inspired research on a stand-alone larger project toward commercialization and societal impact. In the absence of such synergistic partnership, the project’s likelihood for success would be minimal.

The intended outcomes of both PFI-TT and PFI-RP tracks are: a) the commercialization of new intellectual property derived from NSF-funded research outputs; b) the creation of new or broader collaborations with industry (including increased corporate sponsored research); c) the licensing of NSF-funded research outputs to third party corporations or to start-up companies funded by a PFI team; and d) the training of future innovation and entrepreneurship leaders.

The please be aware of important revisions in the PFI program recently announced in solicitation NSF 23-538, as outlined below:

NSF Lineage Requirement
Innovation Corps (NSF I-CorpsTM) Teams awards no longer convey the lineage required to submit a PFI proposal.
All proposals submitted to the PFI program must meet a lineage requirement by having NSF-supported research results in any field of science and engineering: Principal Investigator (PI) or a co-PI must have had an NSF award that ended no more than seven (7) years prior to the full proposal deadline date or be a current NSF award recipient. The proposed technology development project must be derived from the research results and/or discoveries from this underlying NSF award.

Award Information
The funding amounts in both tracks of the PFI program have significantly increased. Specifically:

• PFI-Technology Translation (PFI-TT) projects will be funded for up to $550,000 for 18-24 months per award; and

• PFI-Research Partnerships (PFI-RP) projects will be funded for up to $1,000,000 for 36 months.
   

New full proposal deadlines
The PFI solicitation has three revised deadlines each year:

• May 2, 2023
  First Tuesday in May, Annually Thereafter

• September 3, 2024
  First Tuesday in September, Annually Thereafter

• January 2, 2025
  First Tuesday in January, Annually Thereafter

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

The PRINT program aims to transform organ biofabrication by leveraging recent advances in 3D bioprinting, cell manufacturing, biomaterials, modeling, and tissue engineering. The PRINT program will assemble the necessary tools to facilitate production from a human cell source to a patient matched biofabricated organ to restore at least 40% normal organ function as demonstrated in a large animal model. 

Areas of Interest:

• Technical Area 1 (TA1): Generation of all necessary organ cell types (Phase I)
• Technical Area 2 (TA2): Large scale manufacturing of organ cell types (Phase I & II)
• Technical Area 3 (TA3): Organ Biofabrication and in vivo testing (Phase I and II)

Submit ticket request  //  Limit: 3 nominations per department.

• A. Favela  (School of Plant Sciences)
• R. Shomer  (School of Plant Sciences)
• M. Corty (Neuroscience)
• M.  Wohlgemuth (Neuroscience)
• S. He (Systems & Industrial Engineering)
• T. Lawson (DPS, College of Education)
• F. Willomitzer (College of Optical Sciences)

The Sloan Research Fellowships seek to stimulate fundamental research by early-career scientists and scholars of outstanding promise.

Successful candidates for a Fellowship generally have a strong record of significant independent research accomplishments that demonstrate creativity and the potential to become future leaders in the scientific community. Nominated candidates are normally several years past the completion of their Ph.D. in order to accumulate a competitive record of independent, significant research. The Fellowship amount is $75,000 for a two-year term.

Eligibility:

• Candidates must hold a Ph.D. or equivalent degree in chemistry, computer science, Earth system science, economics, mathematics, neuroscience, physics, or a related field.
• Candidates must be tenure-track, though untenured, as of September 15 of the nomination year.
• Candidate’s faculty position must carry a regular teaching obligation.

*Due to the competitive nature of this funding program, the internal competition is run based on the anticipated September 15, 2024 nomination deadline.

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

Applicant institutions are limited to no more than 3 letters of intent, pre-applications, or applications as the lead institution per research area. There is no limitation to the number of applications on which an institution appears as a subrecipient or for which the institution is not the lead in a multi-institution team using collaborative applications.

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. Specifically, advancements in this area are sought that can enable the development of: 

• Foundation models for computational science;
• Automated scientific workflows and laboratories;
• Scientific programming and scientific-knowledge-management systems;
• Federated and privacy-preserving training for foundation and other AI models for science; and
• Energy-efficient AI algorithms and hardware for science.

Submit ticket request  // Limit: 5* // Tickets Available: 2

L. Davis (Arizona Institute for Resilience) - Design & Development Launch Pilots (DDLPs)

J. Thangavelautham (Aerospace and Mechanical Engineering) - Collaborative Change Consortia

M. Franco  ( HSI Initiatives) - Alliances

*Only 1 submission per project type/institution:

1. Design & Development Launch Pilot = $600K for up to 2 years.
2. Collaborative Change Consortia = $5M for up to 5 years.
3. Alliances = $10M for up to 5 years.
4. Network Connectors = $500K for up to 2 years.
5. Conferences = $100k for 1 year.

NSF INCLUDES is a comprehensive, national initiative 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 NSF INCLUDES 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, NSF INCLUDES 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 under-served 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 NSF INCLUDES National Network is a multifaceted collaboration of agencies, organizations, and individuals working collectively to broaden participation in STEM. The NSF INCLUDES National Network serves as a testbed for designing, implementing, studying, refining, and scaling collaborative change models and is composed of:

• NSF INCLUDES funded projects
• Other NSF funded projects
• Subcommittee on Federal Coordination in STEM Education (FC-STEM) agencies
• Scholars engaged in broadening participation research and evaluation, and
• Organizations that support the development of talent from all sectors of society to build an inclusive STEM workforce.

All NSF INCLUDES funded projects must operationalize five design elements of collaborative infrastructure - (1) shared vision, (2) partnerships, (3) goals and metrics, (4) leadership and communication, and (5) expansion, sustainability, and scale - to create systemic change that will lead to the substantially broadened participation of individuals from historically excluded and undeserved groups in STEM.

No Applicants  // Limit: 5 // Tickets Available: 5 

Applicant institutions are limited to both: 

• No more than a total of five pre-applications or applications as the lead institution in a single- or multi-institutional team.
• No more than one pre-application or application for each PI at the applicant institution.

Extreme-scale science recognizes that disruptive technology changes are occurring across science applications, algorithms, computer architectures and ecosystems. Recent reports point to emerging trends and advances in high-end computing, massive datasets, visualization, and artificial intelligence on increasingly heterogeneous architectures. Significant innovation will be required in the development of effective paradigms and approaches for realizing the full potential of scientific computing from emerging technologies. Proposed research should not focus on a specific science use case, but rather on creating the body of knowledge and understanding that will inform future advances in extreme-scale science. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches.

Institutionally Coordinated // Limit: 1 //  K. Luxbacher  (Mining and Geological Engineering)

The NSF Regional Innovation Engines (NSF Engines) program creates regional-scale, technology-driven, inclusive innovation ecosystems throughout the United States by accelerating key technologies, addressing regional, national, societal, and/or geostrategic challenges, driving economic growth, creating and retaining quality jobs, expanding equitable pathways into careers, and strengthening national competitiveness and security. Each NSF Engine represents a formal coalition of regional partners, led by a full-time Chief Executive Officer (CEO), tasked to carry out an integrated and comprehensive set of activities spanning use-inspired research, translation of innovation to practice, entrepreneurship, workforce development, community engagement, and ecosystem building, to nurture and accelerate the growth of regional innovation ecosystems grounded in technological innovation and regional, national, societal, and/or geostrategic challenges. The mission of an NSF Engine must be clearly rooted in regional interests and reflect the aspiration that a regional innovation ecosystem can help build strong communities where all residents can thrive. This includes the equitable development of regional talent, intentional community engagement, and attention to impacts on a region’s identities and cultures. The NSF Engines program is a placed-based innovation funding initiative, where the emphasis on “regions” expresses NSF’s aim to stimulate innovation-driven economic growth within a particular place or region of service. The emphasis of the NSF Engines program further includes creating new business and economic growth in sectors that are critical to American competitiveness and in those regions of America that have not fully participated in the technology boom of the past several decades.

Institutionally Coordinated // Limit: 2

An eligible organization may submit only two (2) proposals. FORECAST does not accept separately submitted collaborative proposals. Any collaboration among organizations should be through a subaward.

The Focus on Recruiting Emerging Climate and Adaptation Scientists and Transformers (FORECAST) grant opportunity seeks proposals for three tracks. Track 1 supports a coordination hub for rising seniors from emerging research institutions or historically excluded groups. Track 2 supports master's student cohorts at emerging research institutions with mentorship and capacity building. Planning grants will build capacity for future cohort programs. Applicants must be US citizens or permanent residents. Proposals will be evaluated based on meeting the objectives of building a workforce ready to address climate challenges through engagement and resilience efforts. Deadlines are June 11, 2024 for receipt of proposals.

Awards will support senior undergraduate and master's students through intentional professional development activities. Track 1 will coordinate a national cohort while Track 2 focuses on individual institution cohorts. Work is expected to be performed at emerging research institutions in order to build capacity and support diverse groups that have been historically underrepresented in STEM fields. Places of performance will include research institutions partnering to establish future cohort programs through FORECAST planning grants.

proposals that exceed the organizational eligibility limit will be returned without review. Potential PIs are advised to contact their institutional office of research regarding processes used to select proposals for submission.

Organizations participating only as evaluators or subawardees on projects are excluded from this limitation.

 Limit: 4  // Tickets Available: 1* 

A. Thirupathi Raj ( Aerospace and Mechanical Engineering)
Q. Hao (Mathematics)
K. Svoboda (Electrical and Computer Engineering)

 Universities may nominate up to four eligible students. We encourage nominating students with diverse backgrounds especially those from historically marginalized groups in the field of computing.

*If more than two students are nominated then we strongly encourage additional nominees who self-identify as a woman, Black / African descent, Hispanic / Latino / Latinx, Indigenous, and/or a person with a disability.

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

Nurturing and maintaining strong relations with the academic community is a top priority at Google. The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer science and related fields. Fellowships support promising PhD candidates of all backgrounds who seek to influence the future of technology. Google’s mission is to foster inclusive research communities and encourages people of diverse backgrounds to apply. We currently offer Fellowships in Africa, Australia, Canada, East Asia, Europe, India, Latin America, New Zealand, Southeast Asia and the United States.

In the United States, Canada, and Europe, PhD students must be nominated by their university. Any accredited research institution that awards research degrees to PhD students may submit nominations by an official representative of the university. Please see our FAQ for more information.

Materials must be submitted by chairs of the department from eligible universities, or their designated contact. 

Areas of Interest 

Google PhD Fellowship students are a select group recognized by Google researchers and their institutions as some of the most promising young academics in the world. The Fellowships are awarded to students who represent the future of research in the following fields:

• Algorithms and Theory
• Distributed Systems and Parallel Computing
• Health & Bioscience
• Human-Computer Interaction and Visualization
• Machine Intelligence
• Machine Perception
• Natural Language Processing
• Networking
• Quantum Computing
• Security, Privacy and Abuse Prevention
• Software Engineering
• Software Systems
• Speech Processing
• Other areas listed in application forms during application window

Eligibility Requirements 

Universities should only nominate students that meet the following requirements:

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

Students cannot apply directly to the program; they must be nominated by an eligible university during the application period.

Submit ticket request   // Limit: one application per department

G. D. Block (Thomas D. Boyer Liver Institute)

Each year the Legacy Foundation offers Innovative Grants up to $50,000 a year for up to two years ($100,000 max). These projects must meet at least one of the Innovative criteria contained within the grant guidelines link below.

Grant Workshops – Mandatory for first time applicants:

Sierra Vista – May 7, 2024, 10:00 am, Legacy Foundation Outreach Center, 302-02 El Camino Real, Sierra Vista

Benson – May 8, 2024, 10:00 am, Benson Hospital, Ocotillo Room, 450 S Ocotillo Ave, Benson

Willcox –May 14, 2024, 1:00 pm, Cochise College Willcox Center, #102, 470 N Bisbee Ave, Willcox

Douglas – May 15, 2024, 10:00 am, Cochise College Douglas, D-Lib-305, 4190 Hwy. 80, Douglas

Sierra Vista – May 16, 2024, 5:30 pm, Legacy Foundation Outreach Center, 302-02 El Camino Real, Sierra Vista