Research Commercialization

Limit: 1 // B.  Ellerman ( UArizona Forge)

The U.S. Small Business Administration (SBA) offers $50,000 to $200,000 in prize awards for impactful and inclusive approaches to foster a thriving, collaborative national innovation support ecosystem to advance research and development (R&D) from ideas to impact.

By fostering connections between entrepreneurs, advisors, mentors, partners, philanthropies, corporations, investors, and other shared resources, the 2024 Growth Accelerator Fund Competition (GAFC) will catalyze strategic ecosystem partnerships to build community and organizational capacity for the successful launch, growth, and scale of STEM (Science, Technology, Engineering, and Mathematics)-based entrepreneurs and startups.

Competition Goals:

• Increase the pipeline and success of STEM/R&D-focused entrepreneurs and small businesses;
• Increase the success of STEM/R&D-focused entrepreneurs in accessing capital and resources to advance their businesses;
• Incentivize innovation ecosystem stakeholders to provide equitable access to resources for underserved communities and industries;
• Catalyze partnerships and relationships between stakeholder groups to strengthen the national innovation ecosystem; and
• Connect both new and established participants in the national innovation ecosystem.

Prizes awarded in Two Stages:

Stage One: $50,000 cash prizes will be awarded to organizations (Catalysts) to catalyze relationships between aligned stakeholders (Ecosystem Partners) that lead to the development of Growth Accelerator Partnerships. Catalysts work collaboratively with Ecosystem Partners to bring additional resources, deepen network connections, and develop strategies that amplify the impact and success of the Growth Accelerator Partnership and the STEM/R&D-focused entrepreneurs and small businesses they serve.  

SBA welcomes Stage One submissions from a broad range of organizations with a collaborative vision to nurture a national ecosystem for equitable access to entrepreneurship.
 
Stage Two: $50,000 to $150,000 cash prizes awarded to Growth Accelerator Partnerships to provide assistance to entrepreneurs that transition R&D into the marketplace. The Growth Accelerator Partnership will provide startups and small businesses additional support and resources. 

SBA will accept Stage Two submissions from Growth Accelerator Partnerships; submissions will be prepared jointly by Stage One Catalysts and Ecosystem Partners and will present their proposal to successfully accelerate the launch, growth, and scale of diverse STEM/R&D-focused small businesses.

 Limit: 1 // J. M. Roveda (Electrical and Computer Engineering) - Track 1: ExpandAI Capacity Building Pilots (CAP)

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: 2 // Tickets Available: 1 // PI: B. Ellerman (FORGE)

The purpose of this program is to support research, education/teaching, and extension projects that increase participation by women and underrepresented minorities from rural areas in STEM. NIFA intends this program to address educational needs within broadly defined areas of food and agricultural sciences. Applications recommended for funding must highlight and emphasize the development of a competent and qualified workforce in the food and agricultural sciences. WAMS-funded projects improve the economic health and viability of rural communities by developing research and extension initiatives that focus on new and emerging employment opportunities in STEM occupations. Projects that contribute to the economic viability of rural communities are also encouraged.

For the Women and Minorities in Science, Technology, Engineering, and Mathematics Fields (WAMS) program, NIFA will support projects with a target audience of K-14 students (kindergarten through twelfth grade plus two years of post-secondary schooling (e.g., vocational-technical institutions or community or junior colleges)). 

Limit: 1*// H. Kavan (Aerospace and Mechanical Engineering)  

*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.
   

Limit: 2  // PIs: 
H. W .Tseng (College of Medicine Tucson -Medical Imaging) 
X. Yan (Materials Science) 

The Moore Inventor Fellows fellowship focuses on supporting scientist-inventors at a critical prototyping stage to capture opportunities that otherwise might be missed. We seek to provide freedom and support to promising inventors with the most compelling ideas to pursue creative and disruptive innovations.

The scope of this call is intentionally wide: proposed projects do not need to fall within our current funding priorities but should be broadly within the program areas of foundation interest (science, environmental conservation and patient care). Patient care inventions should resonate with our focus on improving the experience and outcomes of patients with solutions that improve clinical diagnosis.

Eligibility: Candidates must be faculty, research scientists, postdocs or other full-time staff who can receive funding through their institutions. Candidates must be no more than 10 years past receiving their terminal advanced degree in their field (M.S., Ph.D. or M.D.) Please see the Moore Inventor Fellows FAQ for more information regarding candidate eligibility and exceptions.

Funding: Fellows will receive funding for three years at a level of $200,000 per year from the Moore Foundation. In addition to funds for the fellow, the foundation will provide $25,000 each year to the institution to cover costs associated with administering the grant award, resulting in a total three-year award of $675,000. Host institutions are required to contribute $50,000 in annual support of the inventor’s work

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.

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