This cohort is designed for faculty seeking to advance or launch a research agenda using AI-enabled and computational approaches. Beginning with a research questions, participants will learn how TACC and NAIRR resources can used for refining a research question suitable for computational inquiry. Additionally, participants will use AI to complete literature reviews, develop methods, and  synthesize findings to engage in structured writing sessions suitable for conference and journal research papers. There are three tracks available: 

• Track I: Independent Research

• Track II: Guided Research 

• Track III: Collaboration

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 tracks available: 

• Track I: New Course or Program Design

• Track II: New or updated assignment(s) using NAIRR resources

• Track III: Course or Academic Program Update. 

This cohort supports faculty preparing competitive proposals for NSF and other federal or foundation funding opportunities. Participants will identify appropriate funding programs aligned with their research and learn how NAIRR resources strengthen proposals. Additionally, particpatnts 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 available: 

• Tracks I: Solicitation Identification 

• Track II: Junior Investigator Track (for new faculty only)

• Track III: Proposal Integration Track

• Track IV: Development Collaboration Track