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CALL FOR PAPERS
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ISACE 2024 is the 1st event of the International Sports Analytics Conference and Exhibition (ISACE) series.
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 the state-of-the-art of sports analytics.
The location is to move around the world’s major cities with a timing that is likely to be 1-2 weeks before or after a major sporting event which may form one of the themes of the conference.
https://formal-analysis.com/isace/2024/
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Venue
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Paris, France
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Important Dates (Extended, Anywhere on Earth)
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Paper submission: 10 March 2024
Author notification: 12 April 2024
Camera-ready version: 30 April 2024
Conference: 15 – 17 July 2024
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Scope
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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
Operational research
Scheduling and logistics
League and tournament design
Medical science
Sports Cardiology
Precision medicine
Injury prediction and prevention
Rehabilitation
Sports psychology
Player evaluation
Performance analysis
Talent identification and development
Fan engagement
Paralympic Sports Analytics
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Submission
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Manuscripts may be submitted in Springer LNCS format to one of the following two categories: (i) Regular Papers and (ii) Practical Experience Papers.
Regular Papers (15 pages, excluding references and appendices) should describe original research.
Practical Experience Papers (6 pages, excluding references and appendices) should describe a real-world experience or a case study, such as the design and deployment of a method or a system in practical settings.
All submissions must be made electronically (in PDF format) on the submission website below.
https://easychair.org/conferences/?conf=isace2024
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Publication
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Accepted papers will be published in the Springer LNCS series.
Each accepted paper should have one author present the work in person at the conference.
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Paper Awards
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An award will be presented for the best paper.
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Organising Committee
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General Chair and Founder
Prof Jin Song Dong, Deputy Head, National University of Singapore, Singapore
Program Co-Chairs
Dr Masoumeh Izadi, Managing Director, Television Content Analytics, Singapore
Dr Zhe Hou, Griffith University, Australia
Advisory Committee
Elia Hill, Director of Sports Technology, Queensland Government, Australia
Jiaren Low, Senior Director, Singapore Sport Institute, Singapore
Organizing Committee
A/Prof Bimlesh Wadhwa, Assistant Dean, National University of Singapore, Singapore
Prof Jun Sun, Singapore Management University, Singapore
Prof Yang Liu, Executive Director for Cyber Research Programme Office (CRPO), Nanyang Technological University, Singapore
Prof Mounir Mokhtari, Institut Mines-Télécom, France
Prof Yamine Ait Ameur, National Polytechnic Institute of Toulouse, France
A/Prof Zhiyong Huang, National University of Singapore, Singapore
A/Prof Teck Khim Ng, National University of Singapore, Singapore
Prof Chunyang Chen, Monash University, Australia
Janice Woon, Director, Singapore Sport Institute, Singapore
Jeanine Heng, Assistant Director, Singapore Sport Institute, Singapore
Program Committee
Prof Oliver Schulte, Director Structured Machine Learning Lab, Simon Fraser University, Canada
Dr Luke Wildman, Principal Systems Assurance Engineer, RGB Assurance, Australia
Prof Yamine Ait AMEUR, National Polytechnic Institute of Toulouse, France
A/Prof Bimlesh Wadhwa, Assistant Dean, National University of Singapore, Singapore
A/Prof Zhiyong Huang, National University of Singapore, Singapore
A/Prof Yun Lin, Shanghai Jiao Tong University, China
Dr Michael Kan Jiang, National University of Singapore, Singapore
Wei-Yao Wang, National Yang Ming Chiao Tung University, Taiwan
Zhaoyu Liu, National University of Singapore, Singapore
Dr Hadrien Bride, Dependable Intelligence, Australia
Dr David Saxby, Griffith University, Australia
Prof Chunyang Chen, Monash University, Australia
Prof Lijun Guo, Ningbo University, China
Dr Sebastian Binnewies, Griffith University, Australia
Prof John Komar, National Institute of Education, Singapore
Dr Elizabeth Bradshaw, Deakin University, Australia
Dr Seungbok Lee, Yonsei University, Korea
Xiaofei Xie, Singapore Management University, Singapore
Prof Mehul S Raval, Associate Dean of Experiential Learning, Ahmedabad University, India
A/Prof Srikrishnan Divakaran, Krea University, India
Prof Tolga Kaya, Sacred Heart University, CT, USA
Daniel Bolarinwa, Accenture, UK
Rajdeep Singh Hundal, National University of Singapore, Singapore
Dr Dileepa Fernando, Singapore University of Technology and Design, Singapore
Dr Isuru Supasan, SLTC Research University, Sri Lanka
We are actively extending the PC. If you are interested, please email z.hou@griffith.edu.au