Sports analytics is the application of AI, data science, psychology, and smart devices to improve sports performance, strategy, and decision-making. It involves collecting, processing, and interpreting data from various sources such as video footage, performance metrics, and scouting reports, and using this information to gain insights into player and team performance, prevent injury, and help coaches and team managers to make more informed decisions and optimize their resources to achieve better results.

There are various sports analytics seminars, satellite workshops (associated with major AI and Data Science conferences), and regional conferences (e.g., MIT Sloan Sports Analytics). The vision of this new International Sports Analytics Conference and Exhibition (ISACE) series is to bring leading academics, researchers, coaches, psychologists, managers and technologists together to advance state-of-the-art of sports analytics.

Authors are invited to submit high quality technical papers describing original and unpublished work in all aspects of sports analytics. Topics of interests include, but not limited to:

+ Computer vision
+ Image and video processing
+ Machine learning
+ Probabilistic modeling and reasoning
+ Statistical analysis
+ Predictive modeling
+ Data analytics
+ Strategies analytics
+ Optimization
+ Virtual reality and augmented reality
+ Data visualization and management
+ Sports management
+ E-Sports
+ Sports business analytics
+ Sports Betting
+ Operational research
+ Scheduling and logistics
+ League and tournament design
+ Medical science
+ Precision medicine
+ Injury prediction and prevention
+ Rehabilitation
+ Sports psychology
+ Player evaluation
+ Performance analysis
+ Talent identification and development
+ Fan engagement
+ Paralympic sports analytics