STEM, Education, Training

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: 1 //  A. Ganchorre (Assistant Dean, Diversity, Equity & Inclusion, Students Affairs) 

The purpose of the Higher Education Multicultural Scholars Program (MSP) is to provide scholarships to support recruiting, engaging, retaining, mentoring, and training committed multicultural scholars, resulting in either baccalaureate degrees within the food and agricultural science disciplines. The goals and objectives of the scholarships are to encourage outstanding students from groups that are historically underrepresented and underserved to pursue and complete baccalaureate degrees in food and agricultural sciences, that would lead to a diverse and highly skilled work force. This may include the teaching and preservation of traditional ecological knowledge.

Underrepresented/underserved groups are those whose representation among food and agricultural professionals is disproportionately less than their proportion in the general population as indicated in standard statistical references, or as documented on a case-by-case basis by national survey data (e.g., the U.S. Department of Education's Digest of Education Statistics, U.S. Department of Agriculture’s Food and Agricultural Education Information Systems, etc.).

The need for this program is supported by the USDA 2020-2025 Employment Opportunities in Food, Agriculture, Renewable Natural Resources, and the Environment. The report indicates shortages of graduates in the food and agricultural disciplines, and a corresponding need to fill an estimated 57,400 annual openings for individuals with baccalaureate or higher degrees in food, renewable energy, and environmental specialties between 2020 and 2025.

Through scholarships, MSP aims to increase the participation of any group historically underrepresented in USDA mission areas and prepare them for the professional and scientific workforce in the food and agricultural sciences.

USDA/NIFA is soliciting applications for student education that will:

1. Prepare graduates to meet the demand for highly qualified personnel entering the workforce related to the food and agricultural sciences;

2. Support more undergraduates in transitioning to graduate education in USDA mission sciences;

3. Contribute to the reduction of the disparity among underrepresented and underserved populations entering graduate schools to better reflect the demographics of the U.S. and enable higher education to remain globally competitive;

4. Promote student success within food and agricultural disciplines at the undergraduate level; and

5. Focus on social support structure, and professional mentoring to ensure entry into food and agricultural science areas and completion of graduate education or high level of competitiveness for the workforce.

Limit: 2 // E. Enikov (Aerospace and Mechanical Engineering), C. Atkins (Student Engagement and Recruitment)

Limit on Number of Proposals per Organization: 2

The Innovations in Graduate Education (IGE) Program is designed to encourage development and implementation of bold, new, and potentially transformative approaches to STEM graduate education training. The program seeks proposals that a) explore ways for graduate students in STEM master's and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers, or b) support research on the graduate education system and outcomes of systemic interventions and policies.

IGE projects are intended to generate the knowledge required for the customization, implementation, and broader adoption of potentially transformative approaches to graduate education. The program supports piloting, testing, and validating novel models or activities and examining systemic innovations with high potential to enrich and extend the knowledge base on effective graduate education approaches.

The program addresses both workforce development, emphasizing broad participation, and institutional capacity-building needs in graduate education. Strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science organizations, and academic partners are encouraged.

 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.

UArizona is not eligible to submit during this FY* // Institutionally Coordinated //  Limit: 1 

Please contact HSI Initiatives for more information. 

Limit on Number of Proposals per Organization:

• Planning or Pilot Projects (PPP) track: There are no restrictions or limits.
• Implementation and Evaluation Projects (IEP) track: There are no restrictions or limits.
• Institutional Transformation Projects (ITP) track: One award and one submission per institution is allowed. *Institutions with an active award are not eligible to apply to this track. Due to an active award, UArizona may not submit a proposal until 2028, unless the new guidelines indicate otherwise. 

The goals of the HSI program are to enhance the quality of undergraduate science, technology, engineering, and mathematics (STEM) education and to increase the recruitment, retention, and graduation rates of students pursuing associates or baccalaureate degrees in STEM. Achieving these, given the diverse nature and context of the HSIs, requires additional strategies that support building capacity at HSIs through innovative approaches: to incentivize institutional and community transformation; and to promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs. Intended outcomes of the HSI Program include broadening participation of students that are historically underrepresented in STEM and expanding students' pathways to continued STEM education and integration into the STEM workforce.

The HSI program is aligned with the National Science Board's vision for, and the NSF's commitment to, a more diverse and capable science and engineering workforce.1 2 HSIs are heterogeneous and unique in many respects.3 Some HSIs have well-established undergraduate STEM programs while others are just beginning to create STEM programs. Whether 2-year or 4-year, public or private, the HSIs serve a wide range of students with a diverse set of educational backgrounds. The need for tailored initiatives, policies, and practices (mindful of socio-cultural awareness) should meet the students' needs and institutions' expectations while advancing undergraduate students at HSIs toward higher levels of academic achievement in STEM. This is the motivation behind three HSI program tracks: Track 1: Planning or Pilot Projects (PPP); Track 2: Implementation and Evaluation Projects (IEP); and Track 3: Institutional Transformation Projects (ITP). Track 3, ITP, is motivated by work on organizational identities for HSIs that suggest that organizational culture and identity play a key role in the success of an HSI in promoting student success in STEM.4

Track 3: The Institutional Transformation Projects (ITP) track supports institution-wide structural or systemic changes to enhance undergraduate STEM education at the proposing HSI. The ITP must be grounded in STEM education research and broadening participation research and be designed to make institutional infrastructure and policy changes to support long-term institutional changes that encourage and support faculty in implementing evidence-based practices that enhance student outcomes in STEM at the proposing HSI.

Under the ITP track, research (including foundational research) that improves our understanding of how to build HSI institutional capacity in STEM is encouraged. Such research should result in a strategic understanding about how the multiple components of the HSI program goals work synchronously to advance STEM education. All institution types are encouraged to apply, especially PUIs (including community colleges). Proposed activities can include adaptation of evidence-based strategies and/or the design and implementation of innovative strategies. The ITP must include both project evaluation and dissemination components, as well as an education research component. The ITP proposed structural or systemic changes are expected to be institutionalized and sustained by the HSI.

Institutionally Coordinated //  Limit: 1 // M. Franco ( HSI Initiatives)

Please contact HSI Initiatives for more information. 

Limit on Number of Proposals per Organization:

• Planning or Pilot Projects (PPP) track: There are no restrictions or limits.
• Implementation and Evaluation Projects (IEP) track: There are no restrictions or limits.
• Institutional Transformation Projects (ITP) track: One award and one submission per institution is allowed. Institutions with an active award are not eligible to apply to this track.

The goals of the HSI program are to enhance the quality of undergraduate science, technology, engineering, and mathematics (STEM) education and to increase the recruitment, retention, and graduation rates of students pursuing associates or baccalaureate degrees in STEM. Achieving these, given the diverse nature and context of the HSIs, requires additional strategies that support building capacity at HSIs through innovative approaches: to incentivize institutional and community transformation; and to promote fundamental research (i) on engaged student learning, (ii) about what it takes to diversify and increase participation in STEM effectively, and (iii) that improves our understanding of how to build institutional capacity at HSIs. Intended outcomes of the HSI Program include broadening participation of students that are historically underrepresented in STEM and expanding students' pathways to continued STEM education and integration into the STEM workforce.

The HSI program is aligned with the National Science Board's vision for, and the NSF's commitment to, a more diverse and capable science and engineering workforce.1 2 HSIs are heterogeneous and unique in many respects.3 Some HSIs have well-established undergraduate STEM programs while others are just beginning to create STEM programs. Whether 2-year or 4-year, public or private, the HSIs serve a wide range of students with a diverse set of educational backgrounds. The need for tailored initiatives, policies, and practices (mindful of socio-cultural awareness) should meet the students' needs and institutions' expectations while advancing undergraduate students at HSIs toward higher levels of academic achievement in STEM. This is the motivation behind three HSI program tracks: Track 1: Planning or Pilot Projects (PPP); Track 2: Implementation and Evaluation Projects (IEP); and Track 3: Institutional Transformation Projects (ITP). Track 3, ITP, is motivated by work on organizational identities for HSIs that suggest that organizational culture and identity play a key role in the success of an HSI in promoting student success in STEM.4

Track 3: The Institutional Transformation Projects (ITP) track supports institution-wide structural or systemic changes to enhance undergraduate STEM education at the proposing HSI. The ITP must be grounded in STEM education research and broadening participation research and be designed to make institutional infrastructure and policy changes to support long-term institutional changes that encourage and support faculty in implementing evidence-based practices that enhance student outcomes in STEM at the proposing HSI.

Under the ITP track, research (including foundational research) that improves our understanding of how to build HSI institutional capacity in STEM is encouraged. Such research should result in a strategic understanding about how the multiple components of the HSI program goals work synchronously to advance STEM education. All institution types are encouraged to apply, especially PUIs (including community colleges). Proposed activities can include adaptation of evidence-based strategies and/or the design and implementation of innovative strategies. The ITP must include both project evaluation and dissemination components, as well as an education research component. The ITP proposed structural or systemic changes are expected to be institutionalized and sustained by the HSI.

Limit: 3 // Tickets Available: 1

H.  Monroe (Center for Recruitment and Retention of Mathematics Teachers)
A. Ganchorre (Diversity, Equity & Inclusion)

UA may submit two proposals. Due to problems in the foundation's submission portal, this funding cycle. The previous PI selected (H.  Monroe) will be submitted in addition to the two regular tickets for the spring cycle.

The submission of this funding program is coordinated by RII with the assistance of the UA Foundation. For more information, please contact Cyndi Laughren.

The APS Foundation supports programs that enhance academic achievement in the areas of science, technology, engineering and math (STEM). Since 1981, the Foundation has invested more than $44 million in projects throughout Arizona that help prepare students to compete in a 21st century economy.
A workforce proficient in STEM skills is critical to attracting and retaining high-quality businesses and industries to the state. The APS Foundation targets projects that help educators increase content knowledge in STEM subjects as well as the ability to transfer this knowledge effectively to students.

Average funding amount: ~ $75,000

How we evaluate potential programs:
Organizations must be registered as a 501(c)(3) public charity in good financial and public standing. Programs should demonstrate their ability to improve educational outcomes, increase access and/or offer an innovative approach to learning.
All grantees will have specific reporting requirements and must submit a final evaluation before they can be considered for additional funding.

Please note, the APS Foundation will not support:
• Individuals
• Individual K-12 schools
• Religious organizations, churches and programs that are purely denominational in purpose
• Political, labor or fraternal organizations, associations or civic service clubs
• Legislative, lobbying or advocacy efforts or organizations
• Private or family foundations
• Animal shelters or agencies
• Foundations or organizations which are grant-making entities or that distribute funds to other nonprofit organizations (pass through)
• Start-up organizations defined as nonprofits whose ruling year has been granted by the IRS for less than three years
• Organizations that discriminate on the basis of race, color, religion, disability, gender, gender identity, age, national origin, sexual orientation, marital status, protected veteran status or any other classification protected by law
• Health organizations whose primary focus is funding programs or services for a specific disease or illness
• Sports teams or sporting programs
• Scouting troops
While not a part of our traditional grant program, the APS Foundation occasionally supports capital requests of our long-standing partners on an invite-only basis.

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

Limit on Number of Proposals per Organization: 1 per lead institution.

The National Science Foundation's vision of “a Nation that leads the world in science and engineering research and innovation, to the benefit of all, without barriers to participation” encompasses core values of research excellence, inclusion, and collaboration, as described in NSF's Strategic Plan. The NSF Division of Materials Research (DMR) supports a broad interdisciplinary research community, which encompasses materials science, physics, chemistry, mathematical sciences, and engineering disciplines, providing a unique opportunity to broadly promote the NSF vision and core values, especially inclusion and collaboration.

The DMR Partnerships for Research and Education in Materials Research (PREM) program aims to enable, build, and grow formal partnerships between minority-serving institutions and DMR-supported centers and/or facilities through materializing the PREM pathway. The PREM pathway aims at broadening participation through enhanced recruitment, retention, and degree attainment by members of those groups most historically underrepresented in materials research. As an essential ingredient for its success, PREM supports excellent research and education endeavors that nurture and strengthen such partnerships and advance the materials research field.

Information about current PREMs and a description of the PREM framework can be found at https://prem-dmr.org/.

The PREM program activity is expected to enhance both the quantity and quality of materials research and education opportunities for students and faculty members at minority-serving institutions, and to demonstrably lead to broadened participation in materials research. These opportunities result from long-term, multi-investigator, collaborative research and education partnerships that define a framework wherein a supportive and stable PREM pathway for promoting inclusiveness in STEM is designed and built. In this context, the framework includes the partnership, the pathway (i.e., the recruitment/retention/degree attainment paradigm), as well as essential research and education elements that collectively propel the participants’ progression along the pathway. Additionally, the PREM activity may also contribute to and strengthen broadening participation efforts at partnering institutions (i.e., the DMR-supported centers and facilities).

A PREM typically encompasses research thrust(s) that involve several faculty members addressing materials research topic(s). Sustained support is developed through a collaborative effort by the participants from both partnering institutions that is based on common intellectual interests (either pre-existing or newly identified) and complementary backgrounds, skills, and knowledge. Ideally, a PREM proposal defines a vision for the partnership that simultaneously promotes inclusiveness and research excellence; the proposed research should be aligned with research supported by DMR. The role of each institutional partner should be explicit, and project goals to achieve the vision should be clearly defined and addressed. Importantly, anticipated challenges and expected outcomes towards increasing participation of groups underrepresented in STEM and research output must be identified and addressed. Plans for student/faculty reciprocal exchange between partnering institutions are required. Project assessment and evaluation plans are required and are designed to emphasize an increase in the quality and quantity of research, education, and broadening participation endeavors measured relative to the beginning of the award. Successful PREMs can be developed regardless of the starting research and capacity levels at the lead institution.

Efforts for broadening participation in materials research rely on creating research and education partnerships that promote inclusive institutional cultures. An effective partnership defines a framework that contains the PREM pathway towards broadening participation, as well as research and education resources. Through effective utilization of research and education resources and depending on the level of support that the lead institution can provide to enable research efforts, a variety of strategies may be developed towards a progressive materialization of the recruitment/retention/degree attainment components of the PREM pathway. Examples include but are not limited to workshops, technical meetings, technical courses, curricular development, summer schools, outreach towards improving recruitment, student mentoring activities, and overall opportunities in science learning and training.

Starting research and capacity levels will position the PREM partnership at a specific location within the PREM pathway, which can range from pre-recruitment to pre-degree attainment stages. It is expected that eventually, and as a result of the developed strategies and proposed research and education elements, the partnership on the PREM pathway will evolve and mature, leading to an increased enrollment of underrepresented students in graduate school, and eventually, to a diverse materials research workforce at all levels (i.e., student, postdoctoral, faculty, STEM career). As examples, to date, successful PREMs have devised innovative strategies around recruitment, retention, and degree attainment that have successfully promoted enrollment of minority students in STEM Ph.D. programs in both minority- and non-minority-serving institutions throughout the U.S. Other successful PREMs have prepared undergraduates at the lead institution for recruitment by the partner institution, which provides another example of a fully materialized PREM pathway that benefits both institutions by simultaneously broadening participation in STEM areas as well as increasing research output.

It should be emphasized that the partnership is expected to develop capacity in at least one segment of the PREM pathway within the duration of the award, commensurate with the partnership’s starting research and capacity levels. The vision for the partnership, however, must include a deliberate effort that aims at the full completion of the pathway, possibly in subsequent awards.

Successful PREMs are expected to:

• Engage in compelling scientific materials research: research thrust(s) must have a well-integrated research program with compelling intellectual merit and broader impacts. Each thrust must demonstrate clear benefits from a collaborative approach, which in turn defines the research and education partnership.
• Promote inclusion of participants from underrepresented groups in the PREM pathway covering all or a segment of the recruitment/retention/degree-attaining sequence through opportunities in science learning and training. These opportunities are the result of applying the elements from the PREM framework in the PREM pathway. Challenges and progress throughout the stages of recruitment, retention, and degree attainment are addressed, as appropriate.
• Propose either existing or newly designed elements in the framework that will successfully promote broadening participation efforts and research output in materials research at the partnering institutions. The proposed elements must clearly define purpose, challenges, and expected outcomes towards broadening participation and increasing research output.
• Provide metrics: PREM partners propose specific metrics with which the partnership will be evaluated. The metrics will emphasize increase in both quality and quantity of research and broadening participation measured relative to the beginning of the award in each partnership. Successful PREMs can be developed regardless of differences in starting research and capacity levels at the lead institution.
• Specify gains: Each partner must specify anticipated gains both in terms of broadening participation and research output. Using the metrics identified in the proposal, gains will be evaluated and assessed within the context of the segment in the PREM pathway that a specific partnership is targeting.
• Establish reciprocity: Reciprocal faculty and student exchanges are a core component of the partnership. Scientific and educational collaboration among all partners with measurable benefits to all are key attributes of a successful PREM. 

A PREM may address any area of research supported by the NSF Division of Materials Research which includes 8 programs, known as Topical Materials Research Programs (TMRP): Biomaterials (BMAT), Ceramics (CER), Condensed Matter Physics (CMP), Condensed Matter and Materials Theory (CMMT), Electronic and Photonic Materials (EPM), Metals and Metallic Nanostructures (MMN), Polymers (POL), and Solid State and Materials Chemistry (SSMC). For a detailed description of the research supported by the 8 core programs visit: https://www.nsf.gov/materials.

Furthermore, in alignment with NSF’s interest in strengthening Emerging Industries, proposals addressing fundamental materials research in the following areas are of interest to DMR:

• Artificial Intelligence (AI): Research in this area could include the utilization of machine learning, deep learning, computer vision, and other emerging data-centric approaches to address complex problems within the realm of materials science. Of particular interest are applications of AI to traditional materials science issues, such as those found in ceramics, metals, metallic alloys, and other materials categories. The use of AI and machine learning to enable advanced manufacturing, and using predictive design to program the composition, structure, and/or function of materials are also of interest.
• Biotechnology and Synthetic Biology: Research endeavors in this area could address materials-related obstacles hindering the integration of synthetic biology techniques into the development of next-generation materials and living or active materials relevant to biotechnology. Fundamental materials research at the intersection of synthetic biology and abiotic materials and technologies, as well as the crossroads of engineering biology and materials science is of particular interest. This may encompass the development of materials, living materials, active materials, and material systems with the potential to revolutionize food production and agriculture, human well-being and biomedical applications, environment, energy, information storage, and processing, as well as the creation of pluripotent and autonomous materials capable of sensing and adapting to their environment. The focus on new approaches to manufacture at scale novel materials that are safer and more sustainable is encouraged (see https://roadmap.ebrc.org/2021-roadmap-materials/ for more information.)
• Advanced Manufacturing: Research in this area could explore novel strategies for creating composite materials that span different materials classes, including the fusion of digital- and self-assembly techniques. Advancements in modeling and monitoring processing with a focus on in situ characterization are of interest. Additionally, developing ability to print functionality, such as spatially resolved mechanical and chemical properties alongside structures are also of interest. Furthermore, hierarchical materials, achieved through a combination of self-assembly and top-down additive manufacturing, as well as the integration of manufacturing approaches for heterogeneous materials (soft and hard), and precision synthesis and characterization of macromolecular and bespoke polymer materials are also areas of interest.

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No pre-proposals were received in the internal competition.

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The overarching goal of this R25 program is to support educational activities that encourage individuals from diverse backgrounds, including those from groups underrepresented in the biomedical and behavioral sciences, to pursue further studies or careers in research. 

To accomplish the stated over-arching goal, this NOFO will support educational activities with a primary focus on: 

• Courses for Skills Development

• Research Experiences

• Mentoring Activities