Posted on Sunday, August 23, 2020
The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students
(graduate, undergraduate, and high school) who are interested in sports
analytics. Organized by the UConn Statistical Data Science Lab of the
Department of Statistics UCSAS aims to: 1) showcase sports analytics to
students at an accessible level; 2) train students in data analytics with
application to sports data; and 3) foster collaboration between academic
programs and the sports industry.
Four Keynote Presentations
• Thompson Bliss, Data Scientist, National Football League
Estimating the Impact of Travel, Rest, and Playing at Home in the National
Football League
• Ron Yurko, PhD Candidate, Carnegie Mellon University
Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes
in American Football with Tracking Data
• Stephanie Kovalchik, PhD, Senior Data Scientist at Zelus Analytic
Making the Intangible Tangible: Using Mixture Models for Estimating Latent Quantities in Sports
• ESPN Sports Analytics Team, ESPN
Redesigning NBA Basketball Power Index
Poster Session
A poster session is scheduled for 10:50–12:50. We invite submissions from all,
especially students (high school, undergraduate, or graduate), with interesting
works on any topics of sports
analytics. The submission deadline is Friday, October 2, 2020.
A student poster award (possibly named after a sponsor), decided by the Student
Poster Award Committee will be presented at the closing ceremony.
The poster session also serves as a networking mixer. Grab a drink in front of
your computer while enjoying the poster session and networking.
Training Workshops
One-hour workshops are offered in two concurrent sessions of two hours (13:00-
15:00). Led by experienced graduate students from the Department of Statistics
at UConn, they provide trainings from jumpstart to advanced sports analytic
skills.
• Concurrent Session A (Introductory)
– 13:00–13:50: Introduction to R: Tuhin Sheikh
– 14:00–14:50: Introduction to Python: Jun (Bruce) Jin
• Concurrent Session B (Advanced)
– 13:00–13:50: Baseball Analytics with R: Dr. Zhe Wang
– 14:00–14:50: Data Visualization with R: Yiming Zhang
Registration
The symposium is open to anyone with an interest in sports analytics. The
registration
fee is minimal ($5) to get an accurate count for workshop planning and
logistics.
Sponsorship
We welcome and appreciate corporate and individual sponsorships of the 2020
UCSAS
with any amount. Depending on the contribution level, sponsors will be
recognized through customary
channels. Please contact Dr. Jun Yan (jun.yan@uconn.edu) for details.
