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Hosted in Punta Cana, Dominican Republic | Apply By April 1st, 2026
Hosted in Punta Cana, Dominican Republic | Apply By April 1st, 2026
Powering Faculty Innovation Through artificial intelligence
Powering Faculty Innovation Through artificial intelligence
The National AI Research Resource (NAIRR) Summer Accelerator is an immersive, multi-week faculty development program designed to strengthen research productivity, proposal competitiveness, and instructional innovation through the strategic use of artificial intelligence, advanced computing, and NAIRR infrastructure. Hosted as a three-week summer institute in Punta Cana Dominican Republic, the program supports faculty from non-R1 institutions by providing structured access to expertise, computational resources, and guided scholarly development.
choose from three cohorts
choose from three cohorts
The Accelerator is organized into three thematic cohorts, each offered during a separate week and focused on a core dimension of academic success:
Research ACCELERATOR
Research ACCELERATOR
May 31 to June 6, 2026
May 31 to June 6, 2026
This cohort is designed for faculty seeking to advance or launch a research agenda using AI-enabled and computational approaches. Beginning with a research question, participants will learn how TACC and NAIRR resources can be used for refining a research question suitable for computational inquiry. Additionally, participants will use AI to complete literature reviews, develop methods, and synthesize findings, enabling structured writing sessions suitable for conference and journal research papers. There are three tracks available for this cohort:
Track I: Independent Research (bring your own topic)
Track II: Guided Research (participated in a guided topic)
Track III: Collaboration (attend with a collaborator to work on a project with AI experts).
Grant Proposal Writing
Grant Proposal Writing
June 28 to July 4, 2026
June 28 to July 4, 2026
This cohort supports faculty preparing competitive proposals for NSF and other federal or foundation funding opportunities. Participants will identify funding programs aligned with their research and learn how NAIRR resources can strengthen their proposals. Additionally, participants will develop problem statements, broader impacts, and research plans, and use AI tools to refine clarity, alignment, and structure. Experienced grant writers will provide feedback on proposal narratives and technical sections. There are four specialized tracks for this cohort:
Tracks I: Solicitation Discovery, Management, & Selection
Track II: Junior Investigator Track (for postdocs & junior faculty only)
Track III: Proposal Integration Track (integrating NAIRR in an in-progress proposal)
Track IV: Development Collaboration Track (work with a collaborator with our AI experts).
Teaching & curriculum innovation
Teaching & curriculum innovation
July 26 to August 1, 2026
July 26 to August 1, 2026
This cohort supports faculty interested in integrating AI, data, and computing into their teaching practice. Participants will design or revise a course to include AI- or data-enabled learning activities, learn how NAIRR resources can support instruction and student research, develop assignments, modules, or labs using AI tools and explore ethical and responsible AI use in education. There are three specialized tracks for this cohort:
Track I: New Course or Program Design
Track II: New or updated assignment(s) using NAIRR resources
Track III: Course or Academic Program Updates.
Program overview
Program overview
Across all three cohorts, participants benefit from:
Daily structured writing and development time
Hands-on exposure to TACC and NAIRR resources
AI-assisted research and writing tools
Peer and mentor feedback
Guided pathways for continued engagement with NAIRR
Emphasis on reproducibility, ethics, and responsible AI use
Who Should Apply?
Who Should Apply?
This retreat is open to faculty, postdoctoral researchers, and other academic professionals who seek practical application of NAIRR resources, especially members from teaching-focused and under-resourced institutions in the following roles:
Research Focused Faculty
Teaching Focused Faculty
Academic Administrators
Grant Writers
accomodations
accomodations
All participants must book their own airfare and lodging. Rooms are available at the ROYALTON PUNTA CANA, AN AUTOGRAPH COLLECTION ALL-INCLUSIVE RESORT & CASINO, located at Playa Arena Gorda, Carr. El Macao - Arena Gorda, Punta Cana 23000, Dominican Republic.
Note: Please select the dates for your chosen cohort as it defaults to the first one.
Program COSt
Program COSt
Registration costs: $600*
*Registration for the program will be FREE for accepted faculty from non R1 institutions.
A confirmation of the hotel booking is required to complete registration. Travel scholarships will not be available to cover the cost of attending the event.
Application Process
Application Process
Each participant must complete an application before the application deadline. Once accepted, participants must book their own travel accommodations to secure their spot. Confirmation of airfare and lodging is required.
Application Deadline: April 1st, 2026
Application Deadline: April 1st, 2026
Contact Information
Contact Information
For questions about the program, please contact Dr. Kinnis Gosha at kinnis.gosha@morehouse.edu. Also, please follow the Morehouse Center for Broadening Participation in Computing LinkedIn page to get real-time updates on this and other programs.
Space is limited. Don’t miss your chance!
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