Dear Colleagues,
The UCSAS this year has two new features:
1) NSF travel support for presenting students;
2) SportsMedia Technology Data Challenge.
See full description below. Attached is a two-page flyer for your convenience.
With a focus on students, UCSAS promotes data science education
through sports analytics. We appreciate your spreading the word.
Best,
Jun Yan
======
2022 UConn Sports Analytics Symposium (UCSAS)
Saturday, October 8, 2022 <http: uconnsportsanalytics.org/="">
University of Connecticut**
Back in-person and supported by the NSF in 2022, the UCSAS focuses
specifically on students (graduate, undergraduate, and pre-college)
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.
#### Keynote Presentations
- Kathy Evans (Tentative), Vice President, Research and Information
System, Monumental Basketball: "A Review of Causal Inference in
Sports"
- David Bergman, Associate Professor, University of Connecticut:
"Integration of Analytics Techniques for Algorithmic Sports Betting"
#### Panel Discussion: Sports Data Science Competitions
- Alison Lukan (moderator), Seattle Kraken Contributor and TV
Analyst for Root Sports.
- Michael Lopez, Senior Director of Football Data and Analytics,
National Football League.
- Brendan Kumagai, MS Student in Statistics, Simon Fraser University
(2022 Big Data Bowl Winner).
- Megan Risdal, Product Manager, Kaggle.
- Asmae Toumi, Director of Analytics, PursueCare (2021 Big Data Bowl Winner).
#### SMT Data Challenge
The newly added data challenge is sponsored by SportsMedia Technology
(SMT), an industry leader in sports data collection and visualization.
SMT has provided anonymized in-game player and ball location data for
multiple minor league teams over multiple seasons. The goal of the
data challenge is to analyze an aspect of player movement (e.g.,
baserunning, movement while fielding, backing up a play) within this
spatiotemporal dataset. The submission deadline is Monday, August 1 at
11:59pm. Finalists selected by the data challenge judging committee
will be invited to present their works in the poster session with
travel support, and the winner will be announced at the closing
ceremony.
#### Poster Session
A virtual poster session is scheduled for 11:30--13:30. We invite
submissions from all, especially students (pre-college, undergraduate,
or graduate, with travel support), with interesting works on any
topics of sports analytics. The submission deadline is 11:59 pm,
Friday, September 30, 2022. A student poster award, decided by the
Student Poster Award Committee, will be presented at the closing
ceremony.
#### Training Workshops
Six 50-minute workshops are offered in three concurrent tracks during
13:45--15:35. They provide training from jumpstart to advanced sports
analytic skills.
-------------- ------------------------ --------------------
--------------------------------
Introductory Track Intermediate Track Advanced Track
13:45--14:35 Introduction to R Hockey Analytics Web
Scraping for Sports Data
14:45--15:35 Introduction to Python Baseball Analytics
TensorFlow in Sports Analytics
-------------- ------------------------ --------------------
--------------------------------
#### Registration
The symposium is open to anyone with an interest in sports analytics.
The registration fee is minimal ($5 for students and $10 for
non-students) to get an accurate count for planning and logistics.
#### Sponsorship
Depending on the contribution level, sponsors will be recognized
through customary channels, including names of sub-events. Please
contact Dr. Jun Yan (
jun.yan@uconn.edu)) for details.</http:>