USCAS 2022 Program

All times are US Eastern Time (New York). All sessions are in McHugh Hall (MCHU). The training workshops will be in MCHU 106, 107, and 108. Posters will be presented in the hallway. All plenary sessions will be in MCHU 102.

For remote participants, the WebEx link to all plenary sessions are HERE. Links to individual training workshops are in the problem below.

Saturday, Oct. 8, 2022, McHugh Hall (MCHU)

• 08:00--13:00 (MCHU Hallway): Registration desk open

• 09:00--09:15 (MCHU 102): Welcoming Remarks (Chair: Jun Yan, University of Connecticut) (Video)
  • Radenka Maric, President, University of Connecticut
  • Edsel Peña, Program Director, National Science Foundation
  • Paul Caddy, Head Coach, Field Hockey, University of Connecticut
• 09:15--10:15 (MCHU 102): Keynote Presentation 1 (Chair: Lauren (Poe) Parolin, ESPN)
  • Tegan Bunsu Ashby, Senior Full-Stack Developer, Basketball Systems at Brooklyn Nets
    Software Engineering for Sports Analytics (Video)
• 10:15--11:15 (MCHU 102): Panel Discussion on Sports Data Science Competitions (Video)
  • Alison Lukan (moderator), Seattle Kraken Contributor and TV Analyst for Root Sports
  • Michael Lopez Senior Director of Football Data and Analytics at the National Football League
  • Brendan Kumagai Data Science Intern at Zelus Analytics
  • Megan Risdal Lead Product Manager at Kaggle (a Google company)
  • Asmae Toumi Director of Analytics and Research at PursueCare
• 11:30--13:30 (MCHU Hallway): Poster Session + Lunch (Student Union Food Court is next door)
• 13:45--15:35: Breakout Training Workshops
  • Concurrent Session 1 (Introductory): MCHU 106
    • Introduction to R (Fusheng Yang) (Video)
    • Introduction to Python (Charitarth Chugh) (Video)
  • Concurrent Session 2 (Intermediate): MCHU 107
    • Hockey Analytics (Venkata Patchigolla) (Video)
    • Baseball Analytics (Patrick Cummins) (Video)
  • Concurrent Session 3 (Advanced): MCHU 108
    • Web Scraping for Sports Data (Hari Patchigolla) (Video)
    • TensorFlow in Sports Analytics (Pranav Tavildar) (Video)
• 15:50--16:50: Keynote presentation 2 (Chair: Gregory J. Matthews, Loyola University Chicago)
  • David Bergman, Associate Professor, Operations and Information Management, University of Connecticut
    Integration of Analytics Techniques for Algorithmic Sports Betting

• 16:50--17:00: Award/Closing Ceremony (Chair: Brian Macdonald, Yale University)