Program

All times are US Eastern Time (New York).

Friday, April 11, 2025

• 12:00 PM–1:00 PM: Registration and Luncheon
  
• 1:00 PM-2:10 PM: Workshop Session 1
  • Track 1 (Intro): Introduction to R (Lucy Liu)
    
  • Track 2 (Intermediate): Web Scraping for Sports Analytics (Melanie Desroches)
    
  • Track 3 (Advanced): Causal Inference in Sports Analytics (Shinpei Nakamura-Sakai)
    
• 2:20 PM-3:30 PM: Workshop Session 2
  • Track 1 (Intro): Introduction to Python (Charitarth Chugh)
    
  • Track 2 (Intermediate): Tennis Analytics (Jaden Astle)
    
  • Track 3 (Advanced): Player Tracking (Quang Nguyen)
    
• 3:30 PM-4:00 PM: ☕ Break
  
• 4:05 PM-5:15 PM: Workshop Session 3
  • Track 1 (Intro): Data Visualization (Rahul Manna)
    
  • Track 2 (Intermediate): Basketball Analytics (Addison McGhee)
  • Track 3 (Advanced): Leveraging Docker for Building Data Pipelines (Zuri Hunter)
    
  • Track 4 (Educators/Others): How to Create a Module for SCORE (Rachel Gidaro)

Saturday, April 12, 2025

• 8:00 AM-3:30 PM: Registration Desk Open
  
• 08:00-08:50 AM: Continental Breakfast in Room
  
• 08:50-09:00 AM: Opening Remarks
  • Brian Macdonald, Senior Lecturer and Research Scientist, Department of Statistics and Data Science, Yale University
  • Meg Kirkpatrick, Associate Provost for Research, Yale University
  • Sean Ahmed, Principal Analyst, Detroit Tigers
• 09:00-10:00 AM: Keynote Presentation 1 (Chair: Brian Macdonald)
  • Theo Epstein, Fenway Sports Group, 1-on-1 with Theo Epstein
    
• 10:00-10:30 AM: ☕ Break
  
• 10:30-11:50 AM: Session 1: Sports Economics (Chair: Greg Matthews)
  • Lee Kennedy-Shaffer, Yale University, Evaluating Rule Changes Using Quasi-Experimental Designs
  • Hashan Peiris, Simon Fraser University, Modeling Player Injuries as Compound Risks
  • Shane Sanders, Alivia Uribe, Justin Ehrlich, Syracuse University, Do Behavioral Considerations Cloud Penalty-Kick Location Optimization in Professional Soccer? Classical/Statistical Game Theory & Empirical Testing using Polynomial and ML Regularized Lasso Regression
  • Toby Moskowitz, Yale University, Skill, Luck, And The Battle Of The Sexes
• 11:50-12:00 AM: Travis Peterson Introduces the Data Challenge (Chair: Greg Matthews)
• 12:00-1:30 PM: Lunch & Poster session / Mixer (Judging: 12:20-1:20pm)
• 1:30-2:30 PM: Panel Discussion: Communicating Advanced Analytics in Real Time (Moderator: Seth Walder)
  • Brian Burke, ESPN
  • John Parolin, ESPN
  • Theo Epstein, Fenway Sports Group
• 2:30-3:00 PM: Keynote Presentation 2 (Chair: Jun Yan)
  • Lauren Poe, ESPN, A Journey in Sports Analytics
• 3:00-3:30 PM: ☕ Break
  
• 3:30-5:10 PM: Session 2: Advancements in Sports Analytics and Education (Chair: Julia Stiller)
  • Ben Baumer, Smith College, What Does 'Fairness' Mean in Sports Analytics?
  • Owen Fiore, University of Connecticut, Devon Allen's Disqualification at the 2022 World Track and Field Championships
  • Ron Yurko, Carnegie Mellon University, Momentum Interference: A Hierarchical Framework For Modeling Tackling Ability In American Football
  • Elizabeth Upton, Williams College, Hypergraphs and Hoops: Uncovering NBA Player Interactions through Apm
  • Keith D’Amelio, Heretic Performance, Understanding Game Demands in the Elite Basketball: The Factors That Shape Performance
• 5:10-5:40 PM: Keynote Presentation 3 (Chair: Sean Ahmed)
  • Cade Massey, The Wharton School, Analyst as Difference-Maker: Lessons from Firefighting in the American West
    
• 5:40-5:50 PM: Wrap-up. Announcing the winners of the data challenge and poster winners
• 6:00-7:30 PM: Closing Reception for All Participants