Hi All, we have an update on the keynote presentations for the 2022
UCSAS (https://statds.org/events/ucsas2022/keynotes.html):
+ Tegan Bunsu Ashby, Senior Full-Stack Developer, Basketball Systems,
Brooklyn Nets: “Software Engineering for Sports Analytics”
+ David Bergman, Associate Professor, University of Connecticut:
“Integration of Analytics: Techniques for Algorithmic Sports Betting”
The registration and poster abstract submission have been open.
Plenary sessions will be broadcasted for remote registrants. This
event was designed to be student-friendly. We appreciate your sharing
the attached flyer with anyone who may be interested.
The deadline for applying travel support for student poster presenters
is September, 23, 2022.
We also have a few branding opportunities for sponsors. Please drop me
a line if you are interested.
Jun Yan
University of Connecticut
On Sat, Jul 30, 2022 at 6:19 AM Jun Yan <
jyan.statistics@gmail.com> wrote:
>
> 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.</
jyan.statistics@gmail.com></
jyan.statistics@gmail.com></
jyan.statistics@gmail.com></
jyan.statistics@gmail.com>