NU Sports ML Workshop 2026
August 19-20, 2026 @ Nagoya University
August 19-20, 2026 @ Nagoya University
Advancing Machine Learning in Sports Analytics
The NU Sports ML Workshop explores the intersection of machine learning and sports analytics, emphasizing open data, collaborative research, and practical applications in real-world scenarios. With the rise of learning-based methods, this workshop provides a platform for researchers, practitioners, and sports professionals to collaborate on cutting-edge topics such as player performance evaluation, game strategy, and fan engagement.
Speakers are expected to attend in person; however, online participation is currently being considered for attendees.
Key Topics:
Predictive Analysis & Play Evaluation
Leveraging data science and machine learning models to predict game outcomes, assess tactical strategies, and evaluate player dynamics.
Computer Vision in Sports Analytics
Automating data acquisition through pose estimation, object tracking, and action recognition from sports video footage.
Agent-Based Modeling & Reinforcement Learning
Applying reinforcement learning and simulation techniques to analyze team interactions and optimize strategies in dynamic sports environments.
The workshop adopts an open and transparent approach by emphasizing the use of accessible datasets, reproducible methodologies, and collaborative frameworks. Inspired by advancements in fields like computer vision and natural language processing, participants are encouraged to explore how machine learning can quantify expert insights, predict future plays, and redefine sports analytics at all levels.
The workshop brings together disciplines to bridge academic research and practical deployment, giving attendees practical insights and tools to strengthen their contributions in this rapidly evolving field.
Abstract Submission Deadline: June 1st, 2026 (Reviewed by organizers)
Abstract Acceptance Notification: June 15th, 2026
Participation Registration Open: June 15th, 2026
Participation Registration Deadline: July 15th, 2026
Workshop Dates: Aug 19-20, 2026 @ Nagoya University