Data Science for data-rich sports

Data Science for data-rich sports Sports and fitness have developed into activities that are rich in diverse and complex data types produced in high frequency and volume (e.g. a combination of data from multiple sensors, motion trackers, questionnaires, images, and videos), and in associated research questions on topics like Sports Health, Outcomes, Performance, Measurement and Planning. The challenges involved in identifying, capturing, combining and extracting topical knowledge from such data movitate new methodological developments in Data Science, and provide a broad scope for applied and methodological research in scientific fields such as Statistical Science, Machine Learning, Computer Science, Engineering, Economics and Cognitive Neuroscience. This workshop is an academia-led response to those challenges, aiming to identify promising Data Scientific approaches with potential to innovate on Sports applications and beyond. During the…


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