The fifth annual UConn Sports Analytics Symposium will be held April 12-13 at UConn Storrs. This symposium is tailored for students just beginning or interested in sports analytics research and provides an economical way for participants to see the field first-hand. Masu. Registration for the event ends on Friday, April 5th.
“We always wanted this conference to be student-focused from a skill level, accessibility and cost standpoint,” said event organizer Jun Yan, professor of statistics at UConn. says. “We want to attract not only students who are interested in sports analytics, but also students who want to get involved in data science. They may not know what they're interested in, but this It’s a really good way for them to get started.”
The event begins on Friday, April 12th with a workshop in McHugh Hall. Each participant will participate in four workshops and can choose which one to attend. Topics include basketball and baseball analysis, and his web scraping of sports data.
The Saturday, April 13th session in Monteith Hall will include a session with UConn's renowned Cory Stringer Institute, which provides research and education on heat-related fatalities in athletes and other individuals. There will be presentations on a number of topics, including: There will also be sessions on Olympic sports.
“Sports analytics uses data science and statistical techniques to process any data generated from the sports industry,” says Yang. “This data includes information from athlete and team performance, as well as financial information and team management. We look at everything that sports stakeholders need to be interested in. I'm heading towards it.”
The conference is funded through a National Science Foundation grant, which is in its second year of a three-year run and helps attract student presenters to the event.
This diversification of sports analytics will be the theme of a panel discussion titled “Sports Analytics for Life: Different Paths” to be held on April 13th, and will include major league baseball teams, the Canadian Beach Volleyball National Team, medical Representatives from the field will participate.
One of the featured keynote speakers will be Nathan Chen, a two-time Olympic figure skating gold medalist and current fourth-year statistics and data science student at Yale University.
The symposium will also include a poster contest, in which sports analytics questions will be presented and scored on motivation, innovation, execution, and contribution. Six of his 30 poster presenters are finalists in his USOPC Data Challenge and will share the work the USA Gymnastics team is doing to maximize his success at the 2024 Paris Olympics. The poster submission deadline has passed, but winners will be announced during Saturday's session. This poster contest is part of the symposium's new relationship with the United States Olympic and Paralympic Committee (USOPC).
“This conference brings together many people with different goals,” says Dr. Gregory Matthews ’11, associate professor of statistics at Loyola University Chicago. “There are in-game strategies in the game, like who should play. There are personnel decisions about whether a player's contract should be extended and how much a player is worth. From a media perspective, broadcasters How can we make the game more interesting for domestic fans? There are also injury prevention and medical sites. This is a board set that collects techniques that truly fall under the category of sports. Everyone has different goals and needs. ”
Matthews is part of the sports symposium's planning team, along with Yang and Brian McDonald, a lecturer and researcher in Yale University's Department of Statistics and Data Sciences.
“Sports analytics can be a way to ‘trick’ students into learning about analytics. That’s how I fell in love with this job,” says Matthews. “You can use data from sports to apply it to everything from public health to anthropology. If you're interested in sports and data, this type of conference is a great place to attend. Even if sports isn't something you want to do as a career. Even if you don't, you can still learn something.”
