Summer school on "analyzing complex sports data" in Caen, Normandy, 26/06/23 - 29/06/23
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Albrecht Zimmermann
Apr 7, 2023, 11:38:02 AM4/7/23
to Machine Learning News
The GREYC laboratory of the University of Caen, Normandy, France, organises a summer school on analyzing complex sports data, following the success of last year's summer school on analyzing big sports data.
The digitization of human activities has recently extended to sports, making large amounts of data available to researchers. This data is useful to help refereeing, improve performance and monitoring of athletes, for instance for injury prevention, or provide strategic analysis, but also improve the fan experience.
While sports data analysis has in the past decades been more of a craft (practiced by coaches or sports journalists) than a science, this situation has recently changed. More and more mathematical and computational techniques have entered the field and are being used to support the work of movement and sport science experts, coaches and managers of professional teams, but also health actors and private individuals who want to improve their own performance or protect their health.
Today, large amounts of data are regularly generated, not only by professional athletes, but also, with the advent of low-cost, high-quality sensors (e.g. in smartphones) by private individuals. The more the practice spreads and the more sensors are available and/or installed, the more complex such data become, turning high-dimensional, fusing different data types, and involving temporal and spatial aspects.
The speakers will be a mix of academic researchers and practitioners offering presentations and practical work sessions. The program is still a work in progress and will be finalized in the coming weeks.
*Dates*
26/06/23 afternoon - 29/06/23 morning
*Registration fees*
- CNRS agent (CR, DR, IE, IR): free
- doctoral students: 300€
- academics: 600€
- others: 900€
The registration fee includes: lodging and breakfast (three nights), coffee breaks, lunches on June 26, 27, 28, 29
Registration should be available next week
*Website*
Full information can be found at https://complex-sports-data.sciencesconf.org/?forward-action=index&forward-controller=index&lang=en
The digitization of human activities has recently extended to sports, making large amounts of data available to researchers. This data is useful to help refereeing, improve performance and monitoring of athletes, for instance for injury prevention, or provide strategic analysis, but also improve the fan experience.
While sports data analysis has in the past decades been more of a craft (practiced by coaches or sports journalists) than a science, this situation has recently changed. More and more mathematical and computational techniques have entered the field and are being used to support the work of movement and sport science experts, coaches and managers of professional teams, but also health actors and private individuals who want to improve their own performance or protect their health.
Today, large amounts of data are regularly generated, not only by professional athletes, but also, with the advent of low-cost, high-quality sensors (e.g. in smartphones) by private individuals. The more the practice spreads and the more sensors are available and/or installed, the more complex such data become, turning high-dimensional, fusing different data types, and involving temporal and spatial aspects.
The speakers will be a mix of academic researchers and practitioners offering presentations and practical work sessions. The program is still a work in progress and will be finalized in the coming weeks.
*Dates*
26/06/23 afternoon - 29/06/23 morning
*Registration fees*
- CNRS agent (CR, DR, IE, IR): free
- doctoral students: 300€
- academics: 600€
- others: 900€
The registration fee includes: lodging and breakfast (three nights), coffee breaks, lunches on June 26, 27, 28, 29
Registration should be available next week
*Website*
Full information can be found at https://complex-sports-data.sciencesconf.org/?forward-action=index&forward-controller=index&lang=en
Albrecht Zimmermann
May 1, 2023, 9:57:56 AM5/1/23
to Machine Learning News
Inscriptions are now open at https://www.azur-colloque.fr/DR16/inscription/inscription/26
Albrecht Zimmermann
May 25, 2023, 10:08:24 AM5/25/23
to Machine Learning News
Quick reminder that there are only two weeks left for registering for the summer school at https://www.azur-colloque.fr/DR16/inscription/inscription/26
Albrecht Zimmermann
Jun 7, 2023, 10:24:38 AM6/7/23
to Machine Learning News
There are still places left for registering for our summer school on analyzing complex sports data at https://www.azur-colloque.fr/DR16/inscription/inscription/26
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