Program (Tentative)

All times are US Eastern Time (New York).

Friday, April 10, 2026

• 12:00 PM–4:00 PM: Registration
• 1:00 PM-2:10 PM: Workshop Session 1
  • Introduction to R (Tyler Adams)
  • Introduction to Project Management with Git (Michael Agostino)
  • Causal Tools for Sports: Evaluating Defensive Strategies in MLB (Dr. Ying Zhou)
• 2:20 PM-3:30 PM: Workshop Session 2
  • Introduction to Python (Matthew Venzie)
  • Basketball Analytics (Ankith Nagabandi) on 3
  • Building and Deploying Sports Data Apps with Docker (Rahul Manna)
• 3:40 PM-4:00 PM: ☕ Break
• 4:05 PM-5:15 PM: Workshop Session 3
  • Introduction to Interactive Visualization (Lucy Liu)
  • Football Analytics (Nicholas Pfeifer)
  • Unsupervised learning with tracking data (Quang Nguyen)

Saturday, April 11, 2025

• 8:00 AM-3:30 PM: Registration Desk Open
• 08:00-08:45 AM: Continental Breakfast
• 08:45-09:00 AM: Opening Remarks (Chair: Greg Matthews)
  • Ofer Harel, Dean of the College of Liberal Arts and Sciences and Professor in the Department of Statistics, University of Connecticut
  • Moe Butler, Associate Athletic Director for Sports Performance, University of Connecticut
• 09:00-10:00 AM: Keynote Presentation 1 and 2
• 10:00-10:30 AM: ☕ Break
• 10:30-11:50 AM: Invited Session 1
• 11:50-12:00 AM: Data Challenge Highlights
• 12:00-2:00 PM: Lunch & Poster Session
• 2:10-3:30 PM: Invited Session 2
• 3:30-4:00 PM: ☕ Break
• 4:00-5:15 PM: Panel (Chair: Loren Poe)
• 5:15-5:30 PM: Award ceremony: Announcing the winners of the data challenge and poster winners