1-2 June 2026, Vancouver(before the 2026 Soccer World Cup)
Submit Your PaperSports 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.
The third ISACE (June 2026) will be in Vancouver, Canada (before The 2026 Soccer World Cup). The conference proceedings will be published in Springer LNCS series. Top papers will be awarded a Best Paper Certificate and a book voucher from Springer-Nature. Selected papers will be invited to submit an extended version to a special issue of the Springer-Nature Computer Science journal.
The location of ISACE series 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.
Previous and future events:
The pre-conference workshop was hosted in Oct 2023, Singapore.
The first ISACE (July 2024) was held in Paris one week before The 2024 Summer Olympics. Video for the conference.
The second ISACE (September 2025) was held in Shanghai few days before The 2025 Rolex Shanghai Masters tennis tournament. Video for the conference.
The fourth ISACE (2027). Details will be updated later.
Paper submission: 1 Feburary 2026
Notification: 1 March 2026
Camera-ready: 15 March 2026
Conference: 1-2 June 2026
Vancouver, located on Canada’s Pacific coast in the province of British Columbia, is a vibrant seaport city framed by mountains and ocean. It is one of the most ethnically diverse and naturally scenic cities in the world, often ranked among the most livable. Renowned for its thriving film industry, Vancouver is nicknamed “Hollywood North.” Its downtown features modern glass towers set against the backdrop of snow-capped peaks, while Stanley Park, a vast urban green space with forested trails and waterfront seawall, is a crown jewel. As a hub for technology, sustainability, and outdoor adventure, Vancouver seamlessly blends cosmopolitan energy with stunning natural beauty.
TBD
Authors are invited to submit high quality technical papers describing original and unpublished work in all aspects of sports analytics. Topics of interest include, but are not limited to:
Sports Analytics industry practitioners are welcome to give a 15 min presentation at the conference without formal publication in conference proceedings. Registration is required.
The ISACE Exhibition (Demo Track) is an opportunity to showcase innovation and excellence in sports industry. Companies, institutes, and sports teams are invited to submit a pich deck (slides) and present their technologies and products to a panel of industry experts, potential customers and investors.
Each selected organization may have up to two presenters, and each presenter must register for the conference. Each pitch is 5 minutes followed by Q&A. Submission format must be PDF or PPTX or KEY.
Your submission should include 1) a pitch deck of slides, and 2) responses to a simple survey (download the survey Word doc here).
Submission deadline: TBD
Selected companies can pay a discounted registration fee equivalent to the student fees.
Manuscripts may be submitted in Springer LNCS format to one of the following two categories:
(i) Regular Papers and (ii) Practical Experience Papers.
Additional material may be placed in an appendix, to be read at the discretion of the reviewers and to be omitted in the final version. Formatting style files and further guidelines for formatting can be found at the Springer website (more details here).
The proceedings will be published in the Springer Lecture Notes in Computer Science series.
Submission should be done electronically in PDF format through the EasyChair submission page.
Prof Jin Song Dong, National University of Singapore, Singapore (Founder of ISACE)
Dr Zhe Hou, Griffith University, Australia
Dr Zhaoyu Liu, National University of Singapore, Singapore
A/Prof Mark Huasong Meng, University College Dublin, Ireland
Henry(Yuanheng) Wang, AWS Generative AI Innovation Center, US
A/Prof Bimlesh Wadhwa, National University of Singapore, Singapore Prof Chunyang Chen, Technical University of Munich, Germany A/Prof David Saxby, Griffith Centre of Biomedical and Rehabilitation Engineering, Griffith University, Australia Dr Elizabeth Bradshaw, Deakin University, Australia Dr Hadrien Bride, Dependable Intelligence, France Prof Jin Song Dong, National University of Singapore, Singapore A/Prof John Komar, National Institute of Education, Nanyang Technological University, Singapore Dr Kan Jiang, National University of Singapore, Singapore Prof Lijun Guo, Ningbo University, China Dr Luke Wildman, RGB Assurance, Australia Dr Masoumeh Izadi, Television Content Analytics Pte. Ltd, Singapore Prof Oliver Schulte, Simon Fraser University, Canada Dr Sebastian Binnewies, Griffith University, Australia Prof Seungbok Lee, Yonsei University, South Korea A/Prof Teck Khim Ng, National University of Singapore, Singapore Dr Wei-Yao Wang, National Yang Ming Chiao Tung University, Taiwan Prof Yamine AIT AMEUR, IRIT - National Polytechnic Institute of Toulouse, France A/Prof Yun Lin, Shanghai Jiao Tong University, China Zhaoyu Liu, National University of Singapore, Singapore Dr Zhe Hou, Griffith University, Australia A/Prof Zhiyong Huang, National University of Singapore, Singapore A/Prof Xiaofei Xie, Singapore Management University, Singapore Prof Mehul Raval, Ahmedabad University, India A/Prof Srikrishnan Divakaran, Krea University, India Prof Tolga Kaya, Sacred Heart University, USA Daniel Bolarinwa, Accenture, UK Rajdeep Singh Hundal, National University of Singapore, Singapore Dr Dileepa Fernando, Singapore University of Technology and Design, Singapore Isuru Supasan, SLTC Research University, Sri Lanka Karan Gupta, SunPower, USA Prof Raveendran Paramesran, Monash University, Malaysia Prof Bessam Abdulrazak, University of Sherbrooke, Canada Steven Lin, Azra Games, USA Dr Tao Lin, Ethiqly, USA A/Prof Robert Moskovitch, Ben Gurion University, Israel Prof David Clausi, University of Waterloo, Canada Ruchir Pandya, ex-Disruptive, ex-Meta, ex-NBA, USA Siqi Hao, Huawei, Finland A/Prof Willie Harrison, Brigham Young University, USA Matthew Caron, VfL Wolfsburg, Germany A/Prof Leili Javadpour, University of the Pacific, USA A/Prof Jacomine Grobler, Stellenbosch University, South Africa Charles Danoff, Mr. Danoff’s Teaching Laboratory, USA Klaus Mueller, Wictory.ai, Austria Markus Unterweger, Wictory.ai, Austria Dr Chean Khim Toa, Xiamen University Malaysia, Malaysia Prof Divya Mehta, Queensland University of Technology, Australia Dr Haresh Suppiah, La Trobe University Australia Dr Xian Song, Zhejiang University, China A/Prof Yu Xin, Ningbo University, China Prof Ruchika Malhotra, Delhi Technological University, India Shaobo Cai, Shanghai Jiao Tong University, China Roland Janos Nemes, Hosei University, Japan Guoqing Luo, University of Alberta, Canada
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