Welcome to the AI 4 Infra Challenge — Beginner Track DARK DATA CHALLENGE
This track is built for anyone curious about AI and data — no prior coding or machine learning experience required. You'll work with real municipal work-order records and crew notes to explore how AI and data analysis can turn "dark data" into useful maintenance insights. Organizers and mentors are on hand throughout to help you get unstuck, and a starter notebook is provided so you're never starting from a blank page.
This challenge, you'll analyze work orders from: Water and sewer, streets and traffic, electric systems, municipal buildings, reconnect related jobs, identify recurring problems, and recommend preventive actions
Event Schedule
- Kickoff — Thu, Sept 3, 4:00–6:00 PM, Student Commons 1600
- Submissions open — through Sept 11, 11:00 AM
- Demo Day / Judging — Fri, Sept 11, 11:00 AM–3:30 PM, North Classroom
- Awards Ceremony — Fri, Sept 11, 4:00–5:00 PM, North Classroom 1005
- Industry Symposium (winners showcase) — Wed, Sept 16, 9:00 AM–4:00 PM, Jake Jabs Center
Hosted by the AI Student Association at the University of Colorado Denver, in partnership with Colorado State University, Trimble, WSB, HDR, Colorado Smart Cities Alliance, and SHPE.