USCAS 2024 Program

All times are US Eastern Time (New York).

Friday, April 12, 2024

• 13:00-18:00 (MCHU Hallway): Registration desk open
• 14:00-16:50 (MCHU Classrooms): Training workshop
  • Session A (Introductory Level): MCHU 301
    • 14:00-15:15: Introduction to R (Fusheng Yang)
    • 15:30-16:45: Introduction to Python (Charitarth Chugh)
  • Session B (Intermediate Level): MCHU 305
    • 14:00-15:15: Basketball Analytics (Mathew Chandy)
    • 15:30-16:45: Analysis of Formula 1 Data with Python (Abhiram Gunti)
  • Session C (Advanced Level): MCHU 306
    • 14:00-15:15: Web Scraping for Sports Data (Tyler Hinrichs)
    • 15:30-16:45: TensorFlow in Sports Analytics (Hari Patchigolla)
  • Session D (Professional Level): MCHU 307
    • 14:00-16:45: Causal Inference in Sports Analytics (Dr. Kevin Cummiskey)
• 17:00-18:00 (MCHU 3rd Floor Hallway): Welcoming reception
• 18:00-22:00 (XL Center) Hartford Wolf Pack versus Springfield Thunderbirds hockey match: This event is limited to those who registered with a separate fee collection. The group leaves from UConn around 18:00 for the XL Center, and the game ends around 21:30.

Saturday, April 13, 2024

• 07:45-15:00 (MONT Entrance): Registration desk open
• 08:45-09:00 (MONT 104): Openning remarks (Chair: Jun Yan)
  • Ofer Harel, Interim Dean, College of Liberal Arts and Sciences, University of Connecticut
  • Andrea Hudy, Director of Sports Performance Women's Basketball, University of Connecticut
  • Elliot Schwartz Performance Innovation Lead, U.S. Olympic and Paralympic Committee
  • Brian Macdonald, Senior Lecturer and Research Scientist, Department of Statistics and Data Science, Yale University
• 09:00-09:40 (MONT 104): Keynote presentation 1 (Chair: Greg Matthews)
  • Esteban Garaiz, Zelus Analytics, Baseball Analytics: Past, Present, and Beyond
• 09:40-10:20 (MONT 104): Keynote presentation 2 (Chair: Neil Spencer)
  • Kristin Morgan, Univeristy of Connecticut, Interdisciplinary Data-Driven Approach to Improve Player Recovery and Performance
• 10:30-12:00: Invited session (parallel)
  • (MONT 104) Session from Korey Stringer Institute (Chair: Jackson Lautier)
    • Julie Burland, University of Connecticut, Cumulative Impact Load, Injury and Cartilage Metabolism in Collegiate Women’s Basketball Athletes
    • Andrea Hudy, UConn Athletics, Integration of Technology and Tracking Performance Metrics In Division I Women’s Basketball Players
    • John Navarro, University of Connecticut, Monitoring training load between in-season periods for an elite D1 NCAA women’s basketball team
    • David Martin, Korey Stringer Institute, Swim Tuff: A Record Breaking Swim
  • (MONT 111) Session on Olympic Sports (Chair: Emily Wright)
    • Gregory J. Matthews, Loyola University Chicago, Four (three) years later: A look back at the sport climbing competition format and scoring system at Tokyo 2020 (2021)
    • Monnie McGee, Southern Methodist University, Athlete Recruitment and the Myth of the Sophomore Peak
    • Elliot Schwartz, U.S. Olympic and Paralympic Committee, Using analytics to drive competitive success for U.S. Olympic athletes and National Governing Bodies
    • Lulu Zheng, Yale University, Optimizing Team Selection & Strategy for the Swimming Mixed Medley Relay
• 12:00-14:00 (MONT Hallway): Poster session / Mixer
• 14:00-15:30: Invited session (parallel)
  • (MONT 104) Big Data Bowl Finalists (Chair: Greg Matthews)
    • Nick Bachelder, Duke University, Spatial Distributions for End-of-Play Outcomes in American Football
    • Smit Bajaj, New York University, SET: A Framework to Evaluate Edge Setters
    • Quang Nguyen, Carnegie Mellon University, Fractional tackles
  • (MONT 111) Sports Analytics Beyond the Field (Chair: Mary Lai Salvana)
    • Jackson Lautier, Bentley University, A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association
    • Shinpei Nakamura Sakai, Yale University, Estimating the age-conditioned average treatment effects curves: An application for assessing load-management strategies in the NBA
    • Mena Whalen, Loyola University Chicago, Empirical Determination of Baseball Eras: Multivariate Changepoint Analysis in Major League Baseball
    • Dale Zimmerman, University of Iowa, Parametric outline fitting to track the evolution of the called strike zone in Major League Baseball from 2008-2023
• 15:45-16:45 (MONT 104): Panel discussion; Sport Analytics for Life: Many Different Paths (Moderator: Brian Macdonald)
• 16:45-17:25 (MONT 104): Keynote presentation 3 (Chair: Brian Macdonald)
  • Nathan Chen, Yale University, Olympic/World/US Champion in Figure Skating
• 17:25-17:40 (MONT 104): Award ceremony/Closing (Chair: Greg Matthews)