From learning to building
The Faculty AI Hackathon
Cross-disciplinary faculty and staff teams build real AI solutions for academic and administrative challenges — using Generative AI, no-code automation, and prompt engineering. No coding required.
The workshop teaches; the hackathon makes faculty build. Where the workshop ends with each participant having tried five or six AI workflows, the hackathon ends with cross-disciplinary teams having shipped a real, deployable AI solution to a problem that matters at the university. It is the most reliable way we know to convert workshop learning into adopted practice.
Teams work across four problem categories — Teaching & Learning, Research, Academic Administration, and Society & Industry. Specific problem statements are finalised in a 30-minute pre-hackathon call with university leadership. Final pitches are judged on problem fit, AI applied well, working demo, adoption realism, and responsible use.
Detailed agenda, judging rubric, and deliverables shared during the scoping call. Request a proposal below to start the conversation.
Bring a hackathon to your campus
Most universities run the hackathon as a closer to the Faculty Workshop, or as a standalone event for the next academic calendar.