Leaders
Co-leader: Associate Professor Paul Wu
Co-leader: Professor Divya Mehta
ECR co-leader: TBC
Vision
Our vision is to tackle key challenges and support day-to-day decisions in sports and fitness through innovations at the intersection of data science & AI, and the sports, exercise and physiological, and psychological sciences.
Current Initiatives
Sports Data Science and AI Next Generation Graduates Program (NGGP)
The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and biomedical technology, CSIRO and 4 universities to develop pioneering sports data science capability in the ‘green & gold’ lead-up to the Brisbane 2032 Olympic and Paralympic Games.
Australian Sports Tech Analytics & AI Research (AusiSTAR) Hub
AusiSTAR is a consortium of universities, sports associations, government agencies and corporate entities which collectively create a critical mass of cross-disciplinary research expertise. Their goal is to leverage sports technologies, artificial intelligence, and data analytics to enhance various aspects of sports, including performance, participation, productivity, innovation, and education.
About Sports Data Science & AI
Sport plays a critical role in our health and wellbeing, and is a core component of the Australian way of life with 8.4 million adults and 3 million children participating in sports each year. Recent advancements, developments and proliferation of technologies such as use of wearable devices and camera systems in elite and even recreational sports, now allow us to collect data using innovative methods. However, collecting the right data and interpreting it is challenging, due to complex interactions between the human body systems and factors including training, performance, injury and illness, genetics, psychology, sleep and social perspectives.
The Centre for Data Science Sports Data Science & AI theme leverages a 3-year strategic partnership between the Centre, the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) and two Next Generation Graduates Program grants involving over 20 industry partners, 4 universities and CSIRO. The partnership links to an array of sports organisations including swimming, cricket, rugby, athletics, tennis, AFL, and other researchers in the Australian Data Science Network and overseas. Within QUT, our domain leverages interdisciplinary collaboration across schools in Science, Health and Business faculties and with other research programs and domains in CDS.
Our research addresses many aspects of sports data science, including the development of cutting-edge methods to help address the challenges posed by complex datasets and complex systems associated with sports. These challenges include a need for personalised models and inference, small yet focussed athlete datasets, wide datasets and dimension reduction for interpretation, high frequency sensor data, and dynamic, time-varying systems. In light of the announcement of the Brisbane 2032 Olympics and associated investment and focus on sports and data science, the Sports Systems Domain aims to facilitate novel and multidisciplinary research which will be showcased on the global stage.