New members needed for Statistics in Sport Section Committee

The Statistics in Sport Section of the Royal Statistical Society (RSS) is seeking new members to serve on its committee from 2020.

The section is concerned with all types of statistics in sport – including forecasting and modelling, performance analysis and sports science. We aim to organise 2-3 public meetings a year, including sessions at the RSS Conference and to collaborate with other sections and local groups. A recent example is an event with the West Midlands Local Group about the different uses of statistics in rugby – timed beautifully to coincide with national pride in the recent World Cup. We also held a joint event with the Statistics and Law section earlier this year addressing doping in sport. Our interests are truly eclectic.

For the 2020 committee, we would particularly welcome female professionals from any branch of statistics applied to sport as well as early career statisticians with an interest in sports statistics. If you are keen to contribute new ideas for section activities, help organise events and represent the section at meetings then do get in touch. As a committee member, you will engage actively with a keen and enthusiastic group from a diverse range of professions, all of whom are  interested in statistics applied to sport. We hold three committee meetings per year, which can be attended in person at the Society’s Errol Street offices (travel expenses paid), or remotely by teleconference. In between meetings there will be some communication by email.

If you wish to express interest or discuss the role, please send an email (subject line ‘Statistics in Sport section committee 2020’) to Amaka Nwagbara at by Wednesday 19 November 2019, with a paragraph (up to 250 words) summarising your background, why you would like to join, and what you will contribute to the committee. Please note that to take up a position you will need to be a fellow of the RSS.

The RSS is committed to ensuring an inclusive and welcoming environment for all who care about good data and statistics.

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