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  • 1.  Call for poster submission: 2020 UConn Sports Analytics Symposium

    Posted 09-04-2020 14:22
    Dear Colleagues,

    The registration and the poster submission are both open. We'd appreciate it if you can encourage your students to submit posters.

    Thanks,
    Jun Yan
    ===
    2020 UConn Sports Analytics Symposium

    Saturday, October 10, 2020
    Started in 2019, the Only Conference of Its Kind for Students!

    The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students (graduate, undergraduate, and high school) 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
    Thompson Bliss, Data Scientist, National Football League
    Estimating the Impact of Travel, Rest, and Playing at Home in the National Football League

    Ron Yurko, PhD Candidate, Carnegie Mellon University
    Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data

    Stephanie Kovalchik, PhD, Senior Data Scientist at Zelus Analytics
    Making the Intangible Tangible: Using Mixture Models for Estimating Latent Quantities in Sports

    ESPN Sports Analytics Team, ESPN
    Redesigning NBA Basketball Power Index

    Poster Session
    A 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 Friday, October 2, 2020. A student poster award (possibly named after a sponsor), 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
    One-hour workshops are offered in three concurrent sessions of two hours (13:00-15:00). Led by experienced (sometimes former) graduate students from the Department of Statistics at UConn, they provide training 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: Jun (Bruce) Jin

    • Concurrent Session B (Intermediate)
    – 13:00–13:50: Baseball Analytics with R: Dr. Zhe Wang
    – 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: Yaqiong Yao
    – 14:00–14:50: Data Visualization with R: Yiming Zhang

    Registration
    The symposium is open to anyone with an interest in sports analytics. The registration fee is minimal ($5) to get an accurate count for workshop planning and logistics.

    Sponsorship
    We welcome and appreciate corporate and individual sponsorships of the 2020 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.


  • 2.  RE: Call for poster submission: 2020 UConn Sports Analytics Symposium

    Posted 10-05-2020 17:39
    We received 24 posters and the pdfs posters are on display at https://statds.org/events/ucsas2020/poster_directory.html. 

    Discussions of the posters on Twitter https://twitter.com/search?q=%23UCSAS2020&src=typed_query starts now and beyond the conference.

    The live poster session will be in the form of WebEx meetings where each presenter hosts one room. Participants will choose which room to enter from the directory. A Student Poster Award will be given at the closing of the conference.


    Register remains open until the event starts. Looking forward to seeing you!

    Jun Yan


    On Fri, Sep 4, 2020 at 2:21 PM Jun Yan <jyan.statistics@gmail.com> wrote:
    Dear Colleagues,

    The registration and the poster submission are both open. We'd appreciate it if you can encourage your students to submit posters.

    Thanks,
    Jun Yan
    ===
    2020 UConn Sports Analytics Symposium

    Saturday, October 10, 2020
    Started in 2019, the Only Conference of Its Kind for Students!

    The UConn Sports Analytics Symposium (UCSAS) focuses specifically on students (graduate, undergraduate, and high school) 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
    Thompson Bliss, Data Scientist, National Football League
    Estimating the Impact of Travel, Rest, and Playing at Home in the National Football League

    Ron Yurko, PhD Candidate, Carnegie Mellon University
    Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data

    Stephanie Kovalchik, PhD, Senior Data Scientist at Zelus Analytics
    Making the Intangible Tangible: Using Mixture Models for Estimating Latent Quantities in Sports

    ESPN Sports Analytics Team, ESPN
    Redesigning NBA Basketball Power Index

    Poster Session
    A 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 Friday, October 2, 2020. A student poster award (possibly named after a sponsor), 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
    One-hour workshops are offered in three concurrent sessions of two hours (13:00-15:00). Led by experienced (sometimes former) graduate students from the Department of Statistics at UConn, they provide training 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: Jun (Bruce) Jin

    • Concurrent Session B (Intermediate)
    – 13:00–13:50: Baseball Analytics with R: Dr. Zhe Wang
    – 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: Yaqiong Yao
    – 14:00–14:50: Data Visualization with R: Yiming Zhang

    Registration
    The symposium is open to anyone with an interest in sports analytics. The registration fee is minimal ($5) to get an accurate count for workshop planning and logistics.

    Sponsorship
    We welcome and appreciate corporate and individual sponsorships of the 2020 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


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