(apologies for cross-posting)
Dear Colleagues,
UCSAS (http://uconnsportsanalytics.org) is to be hosted by UConn on
Saturday, Oct. 5, 2019 (one week after the New England Symposium on
Statistics in Sports). It is the first sports analytics conference
that is initiated by students and focuses on students.
Call For Poster Presentations
Have an interesting sports analytics project to present? We welcome
poster presentations from both students and non-students.
About UCSAS
While there are many well-established sports analytics conferences,
such as New England Symposium on Sports in Statistics (NESSIS) or the
MIT Sloan Sports Analytics Conference, they are often not accessible
to students due to technical level, cost, or space limitations. UConn,
recognized nationally for its teams in sports such as basketball,
baseball, and hockey, among others, will host the UConn Sports
Analytics Symposium (UCSAS), which will focus specifically on
undergraduate and graduate students who are interested in sports
analytics. UCSAS, organized by the Statistical Data Science Lab at
UConn and co-sponsored by the UConn Data Science Club (a student
organization), 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.
Three Keynote Presentations
+ Dr. Gregory J. Matthews, Assistant Professor, Loyola University
Chicago: How Often Does the Best Team Win? A Unified Approach to
Understanding Randomness in North American Sport
+ Dr. Meredith J. Wills, Sports Data Product Specialist, SMT
(SportsMEDIA Technology Corp): How to Catch a Fly(ball) with
Chopsticks?
+ Dr. Brian Macdonald, Director of Data Analytics, ESPN: An Overview
of Data Science Problems in the Sports Industry
Five Training Workshops:
Five parallel, 2-hour training workshops led by experienced graduate
students from the Department of Statistics at UConn offer trainings
from jumpstart to advanced sports analytic skills.
• (Introductory level) Introduction to R: Tuhin Sheikh
• (Introductory level) Introduction to Python: Jun Jin
• (Intermediate level) Data Visualization with R: Yiming Zhang •
(Intermediate level) Baseball Analytics with R: Zhe Wang
• (Advanced level) Web Scraping for Sports Data: Wanwan Xu
Sponsorship
We welcome and appreciate corporate and individual sponsorships of the
UCSAS 2019 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.
More info can be found on the website
(http://uconnsportsanalytics.org) or the attached flyer. We appreciate
your help spreading the word.
Jun Yan
Professor
Department of Statistics, University of Connecticut