Dear Colleagues,
The video recordings of all the sessions (except the workshop on web
scraping) are available for public viewing at
https://statds.org/events/ucsas2021/program.html. Specifically, the
panel discussion on careers in sports analytics will be a great
resource for students interested in data science.
The Student Poster Award went to Quang Nguyen of Loyola University
Chicago for his poster “Concerns Regarding Sport Climbing Competition
Format and Scoring System: Who’s Suffering?” coauthored with Hannah
Butler and Gregory J. Matthews. Congratulations to Quang!
Comments/suggestions are welcome. We look forward to an even better
symposium in 2022!
Jun Yan
University of Connecticut
On Mon, Sep 27, 2021 at 3:02 PM Jun Yan <
jyan.statistics@gmail.com> wrote:
>
> Dear Colleagues,
>
> This is a reminder that the deadline for poster submission is Friday
> this week. Student entries automatically enter a student poster
> competition, thank 8 experts in our student poster award committee
> from both academia and industries.
>
> With a goal to promote data science and sports analytics. all our
> recordings will be made available after the event. For example, the
> recordings from last year are available at
>
https://statds.org/events/ucsas2020/program.html.>
> Although we don't have a deadline for registration as the event will
> be online, early registration gives time to send you instructions from
> workshop instructors if you plan to take any of them.
>
> Please contact me at
jun.yan@uconn.edu if you have any questions or comments.
>
> Best regards.
> Jun
>
> On Thu, Sep 2, 2021 at 10:03 AM Jun Yan <
jyan.statistics@gmail.com> wrote:
> >
> > Dear Colleagues,
> >
> > The 3rd UConn Sports Analytics Symposium is 5 weeks ahead. Here are
> > the latest updates:
> >
> > 1. The symposium will be **completely virtual** which makes it easy to
> > attend anywhere.
> > 2. The three keynote talks are
> > (https://statds.org/events/ucsas2021/keynotes.html):
> > + Eric Tulsky, Assistant General Manager, Carolina Hurricanes: No
> > Stone Unturned: Leveraging Public Domain Analysis
> > + Justin Jacobs, Principal Research Statistician, Sandia National
> > Laboratories: A Square-Integrable Methodology into Play Registration
> > for NBA Tracking Data
> > + Sarah Bailey, Manager Analytics and Data, Los Angeles Rams: Sports
> > Science in NFL: An Overview of How Analytics and Performance Can Work
> > Together
> > 3. The poster submission is open
> > (https://statds.org/events/ucsas2021/posters.html).
> > 4. The student poster competition evaluation criteria is up.
> >
> > We appreciate your spreading the word and encouraging your students to
> > participate. A one-page pdf flyer is attached for your convenience.
> >
> > Cheers,
> > Jun Yan
> > Department of Statistics, University of Connecticut
> >
> > On Mon, Jul 26, 2021 at 4:25 PM Jun Yan <
jyan.statistics@gmail.com> wrote:
> > >
> > > Dear Colleagues,
> > >
> > > The 2021 UConn Sports Analytics Symposium will be held at UConn on
> > > Saturday, Oct. 9, 2021. The keynote sessions will be in-person (with
> > > online streaming) unless UConn regulations prohibit so. All symposium
> > > activities can be attended virtually. Recall that the symposium has a
> > > unique focus on students, with 6 training workshops, a student poster
> > > competition, and this year a panel discussion on careers in sports
> > > analytics. We are expecting poster submissions from overseas. I'd
> > > really appreciate it if you can pass the information to the students
> > > and faculty of your institution, and encourage your students to submit
> > > posters.
> > >
> > > Cheers!
> > > Jun Yan
> > > Department of Statistics, University of Connecticut
> > > ===
> > > The 3rd UConn Sports Analytics Symposium (since 2019)
> > > Saturday, October 9, 2021
> > >
http://uconnsportsanalytics.org/> > >
> > > The UConn Sports Analytics Symposium (UCSAS) focuses specifically on
> > > students (graduate, under- graduate, 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
> > >
> > > • Eric Tulsky, Assistant General Manager, Carolina Hurricanes
> > > • Justin Jacobs, Principal Research Statistician, Sandia National
> > > Laboratories • Sarah Bailey, Manager Analytics and Data, Los Angeles
> > > Rams
> > >
> > > # Panel Discussion: Careers in Sports Analytics
> > >
> > > • Alison Lukan (moderator), Journalist and Host, Freelance
> > > • Kelsey Roberts, Database/Basketball Analyst, New York Knicks
> > > • Jessica Richardson, Data Analyst, United States Olympic Committee
> > > • Sara Ziegler, Sports Editor, FiveThirtyEight
> > >
> > > # Poster Session A virtual 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 11:59 pm,
> > > Friday, October 1, 2021. A student poster award, 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 while enjoying the virtual poster session and networking.
> > >
> > > # Training Workshops Six one-hour workshops are offered in three
> > > concurrent sessions of two hours (13:00- 15:00). 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: Surya Teja Eada
> > >
> > > • Concurrent Session B (Intermediate)
> > > – 13:00–13:50: Hockey Analytics with R: Meghan Hall
> > > – 14:00–14:50: Basketball Analytics with R: Jackson Lautier
> > >
> > > • Concurrent Session C (Advanced)
> > > – 13:00–13:50: Web Scraping for Sports Data with R: Lucas Godoy
> > > – 14:00–14:50: TensorFlow with Applications in Sports Analytics: Jun (Bruce) Jin
> > >
> > > # Registration The symposium is open to anyone with an interest in
> > > sports analytics. The registration fee is minimal ($5 for students and
> > > $10 for nonstudents) to get an accurate count for planning and
> > > logistics.
> > >
> > > # Sponsorship We welcome and appreciate corporate and individual
> > > sponsorships of the 2021 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.
Original Message:
Sent: 7/26/2021 4:26:00 PM
From: Jun Yan
Subject: The 3rd UConn Sports Analytics Symposium on Saturday, Oct. 9, 2021
Dear Colleagues,
The 2021 UConn Sports Analytics Symposium will be held at UConn on
Saturday, Oct. 9, 2021. The keynote sessions will be in-person (with
online streaming) unless UConn regulations prohibit so. All symposium
activities can be attended virtually. Recall that the symposium has a
unique focus on students, with 6 training workshops, a student poster
competition, and this year a panel discussion on careers in sports
analytics. We are expecting poster submissions from overseas. I'd
really appreciate it if you can pass the information to the students
and faculty of your institution, and encourage your students to submit
posters.
Cheers!
Jun Yan
Department of Statistics, University of Connecticut
===
The 3rd UConn Sports Analytics Symposium (since 2019)
Saturday, October 9, 2021
http://uconnsportsanalytics.org/
The UConn Sports Analytics Symposium (UCSAS) focuses specifically on
students (graduate, under- graduate, 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
• Eric Tulsky, Assistant General Manager, Carolina Hurricanes
• Justin Jacobs, Principal Research Statistician, Sandia National
Laboratories • Sarah Bailey, Manager Analytics and Data, Los Angeles
Rams
# Panel Discussion: Careers in Sports Analytics
• Alison Lukan (moderator), Journalist and Host, Freelance
• Kelsey Roberts, Database/Basketball Analyst, New York Knicks
• Jessica Richardson, Data Analyst, United States Olympic Committee
• Sara Ziegler, Sports Editor, FiveThirtyEight
# Poster Session A virtual 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 11:59 pm,
Friday, October 1, 2021. A student poster award, 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 while enjoying the virtual poster session and networking.
# Training Workshops Six one-hour workshops are offered in three
concurrent sessions of two hours (13:00- 15:00). 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: Surya Teja Eada
• Concurrent Session B (Intermediate)
– 13:00–13:50: Hockey Analytics with R: Meghan Hall
– 14:00–14:50: Basketball Analytics with R: Jackson Lautier
• Concurrent Session C (Advanced)
– 13:00–13:50: Web Scraping for Sports Data with R: Lucas Godoy
– 14:00–14:50: TensorFlow with Applications in Sports Analytics: Jun (Bruce) Jin
# Registration The symposium is open to anyone with an interest in
sports analytics. The registration fee is minimal ($5 for students and
$10 for nonstudents) to get an accurate count for planning and
logistics.
# Sponsorship We welcome and appreciate corporate and individual
sponsorships of the 2021 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.</jyan.statistics@gmail.com></jyan.statistics@gmail.com></jyan.statistics@gmail.com>