Expanding AI Innovation through Capacity Building and Partnerships (ExpandAI)
Solicitation Title: Expanding AI Innovation through Capacity Building and Partnerships (ExpandAI)
Event Type: Limited Submission
Funding Amount: varies; see Other Information
Internal Deadline: Thursday, December 28, 2023 Sponsor Deadline: Monday, March 11, 2024
Solicitation Link: https://www.nsf.gov/pubs/2023/nsf23506/nsf23506.htm
Solicitation Number: NSF 23-506
Overview
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.
AI Institutes are national activities for large-scale, long-term AI research, each pursuing use-inspired innovation in sectors of national importance. Each AI Institute is committed to contributing to the development of a diverse, well-trained national AI workforce. In their role as nexus points for collaborative efforts, AI Institutes are well-positioned to facilitate continuing growth of that workforce by engaging diverse talent pools and perspectives.
Minority-serving institutions (MSIs) are a source of untapped talent that will be critical to future AI innovation. Diverse participants in AI research will be critical to advancing the field, conducting responsible AI research through more inclusive participatory design, and promoting positive societal outcomes of AI innovation. Where MSIs are not yet significantly engaged in AI research and education there is enormous untapped potential to increase talent development and collaboration through federally supported AI research. This program promotes capacity development for new AI programs at MSIs, as well as partnerships between MSIs and AI Institutes. These activities are intended to be a driving force for strengthening and diversifying U.S. research and education pathways, and providing historically marginalized communities new opportunities in STEM careers. Historically underrepresented communities in AI include persons with disabilities, African Americans/Blacks, Hispanic Americans, American Indians, Alaska Natives, Native Hawaiians, and Native Pacific Islanders.
The Expanding AI Innovation through Capacity Building and Partnerships (ExpandAI) program is a multi-year program that aims to significantly diversify participation in AI research, education, and workforce development through capacity development and partnerships within the National AI Research Institutes ecosystem.
PROGRAM TRACKS
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.
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.
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.
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.
ASU may submit only one application under this notice. The internal application is available on Info Ready.
Other Information:Each CAP award is anticipated to be a standard grant up to $400,000 total budget over two years
Each PARTNER award is anticipated to be a continuing award in the range of $300,000 to $700,000/year for up to 4 years
RODA ID: 2169