CPD opportunity - New members needed for Official Statistics Section Committee

Written by Amaka Nwagbara on . Posted in Latest call-outs to members

The Official Statistics 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 data (including open data sets) from official sources nationally and locally. We aim to organise around four public meetings a year, to provide a forum for discussing the collection, quality, dissemination, analysis, and interpretation of official statistics, including methods and findings. We organise sessions at the RSS Conference and collaborate with other RSS sections and local groups. We also help support the RSS National Statistics Advisory Group where discussion of UK policy for official statistics takes place.

For the 2020 committee, we would particularly welcome female professionals from any branch of official statistics as well as early career statisticians with an interest in official statistics (both users and producers). 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. We hold 3-4 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 ‘Official Statistics section committee 2020’) to Amaka Nwagbara at This email address is being protected from spambots. You need JavaScript enabled to view it. by 3 January 2020, 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 (including via corporate membership).

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

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