June 2
Session 1: Foundations and data architecture
Map data ecosystems, write Data Specifications describing what an AI agent should read and produce, construct Logic Maps, and begin planning how to evaluate agent output.
Schedule
Five focused sessions in June 2026.
SPARK meets for five three-hour sessions on Tuesdays in June 2026. All participants are expected to attend every session: June 2, June 9, June 16, June 23, and June 30.
June 9
Session 2: Agentic AI across disciplines
Work in parallel tracks for quantitative research, qualitative research, and teaching or administrative workflows, with emphasis on relevant prototypes.
June 16
Session 3: Rapid prototyping, synthesis, and ethics
Complete a functional prototype, evaluate output quality, use cross-document synthesis tools, and address hallucinations, privacy, publication policy, and responsible data use.
June 23
Session 4: Refinement and usability
Faculty participants develop tools for course design and teaching; staff and administrative participants build assistants for recurring workflows such as document processing, scheduling, reporting, and meeting support.
June 30
Session 5: Documentation and symposium preparation
Participants refine the tool through peer critique and instructor coaching, write a one-page Tool Guide, and prepare an outline for the fall AI SPARK Symposium presentation.