The Event is Co-produced by two Esteemed Academic Institutions:

• NYU Tisch Institute for Global Sport is the global leader in sports business education. NYU is the world’s most global University, with global centers in 13 major cities around the world. The NYU Tisch Institute for Global Sport has over 600 students, undergraduate and graduate degree programs, including the #1 ranked sports business graduate program in the world. As part of the School of Professional Studies, the Tisch Institute has deep industry connections and partnerships with sports brands all over the world, with a dedicated focus on the global football
  
• Computer Science Department at Universidade Federal de Minas Gerais (DCC/UFMG) is a leader in Computer Science in Brazil. It has one of the best graduate programs in the country, with professors who are leaders in their respective fields. In sports, specifically, it has the first-ever Brazilian sports analytics lab (SALab), with 15+ students. The lab has published research in academic and industrial venues, organized two editions of the FAME event, and organized an elective undergraduate course on data science applied to football that is currently being offered for the second time.

The Program—The Future of Football

• Noon: Welcome--Opening Remarks
  
• 12:30 - 1:15: Growing Revenue Thru Innovation
• 1:30 - 2:00: AI in Decision-Making
• 2:15 - 3:00: Engaging with Passionate Fans
• 3:00 - 3:30: Coffee Break and Networking
• 3:30 - 4:00    Case Study |Strategic Global Partnerships--FC Bayern & Club Tigres
• 4:15 - 5:00    Meeting the Growth Challenges for Brasilian Football
• 5:15 - 5:45    Leadership & Followership                                           
  
  

September 5, 2024—Football Advanced Modeling Experience (FAME) (from 9 AM to 6:30 PM)

• Executives—bridging the gap between executive decision making and quantitative insights
• Scouting—how data can support not only the evaluation of players but automate and enhance the talent identification process in a club?
• Match Analysis—exploration of opponents’ traits and strategies that can be uncovered using data
• Performance–how can data give insight into the physical load players exert in training and matches?
• Predictive models in football–What are some of the challenges of creating models in football and how should insights be communicated to non-technical stakeholders?

Detailed program: https://salabufmg.github.io/FAME24/programa/

More detaits about the conference can be find at:

https://salabufmg.github.io/FAME24/

Our contact: salab.dcc.ufmg@gmail.com