Dear colleagues, we'd appreciate your sharing the updates with those
(especially students) who are interested in sports analytics.
+ The symposium registration is open until October 5, 2022.
+ The poster submission is open until September 30, 2022.
+ Student poster presenters travel support (thank NSF) application is
open until September 23, 2022.
+ The deadline for SMT data challenge submission is August 1, 2022.
See symposium website (https://statds.org/events/ucsas2022/) for
updated details.
Thanks,
Jun Yan
On Wed, Jun 8, 2022 at 4:35 PM Jun Yan <
jyan.statistics@gmail.com> wrote:
>
> (apologies for cross-posting)
>
> This is a reminder that the live coding sessions for the SMT student
> data challenge are coming soon. I'd appreciate it if you can encourage
> your students to register:
>
https://statds.org/events/ucsas2022/challenge.html.>
> Thanks,
> Jun Yan
>
> On Mon, May 16, 2022 at 1:46 PM Jun Yan <
jyan.statistics@gmail.com> wrote:
> >
> > (Sorry for cluttering your inbox.)
> >
> > Please use the updated flyer in this message when sharing, which
> > contains the registration link for the SMT Data Challenge. See
> >
https://statds.org/events/ucsas2022/challenge.html. There will be two
> > live coding sessions for registrants.
> >
> > The UCSAS 2022 website is at:
https://statds.org/events/ucsas2022/.> >
> > Thanks,
> > Jun Yan
> >
> >
> > On Mon, May 16, 2022 at 7:19 AM Jun Yan <
jyan.statistics@gmail.com> wrote:
> > >
> > > 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.
Original Message:
Sent: 5/16/2022 1:47:00 PM
From: Jun Yan
Subject: RE: 2022 UConn Sports Analytics Symposium (UCSAS) on Saturday, Oct. 8, 2022
(Sorry for cluttering your inbox.)
Please use the updated flyer in this message when sharing, which
contains the registration link for the SMT Data Challenge. See
https://statds.org/events/ucsas2022/challenge.html. There will be two
live coding sessions for registrants.
The UCSAS 2022 website is at: https://statds.org/events/ucsas2022/.
Thanks,
Jun Yan
On Mon, May 16, 2022 at 7:19 AM Jun Yan</jyan.statistics@gmail.com></jyan.statistics@gmail.com></jyan.statistics@gmail.com>