RSS Statistical Excellence Award for Early Career Writing 2017

RSS Statistical Excellence Award for Early Career Writing 2017

Deadline: May 29, 2017

The Statistical Excellence Award for Early Career Writing recognises the ability of early career statisticians to tell data-driven stories in an entertaining and thought-provoking way. “Early career” means students or anyone within the first 10 years of their statistical career – whether studying, recently graduated or already working. The competition is jointly organised by Significance magazine and the Young Statisticians Section of the Royal Statistical Society.

The RSS is one of the world’s leading organisations to promote the importance of statistics and data, and have done so since they were founded in 1834. They are a professional body for all statisticians and data analysts – wherever they may live. They have more than 8,000 members in the UK and across the world. Members are at the core of what they do and make them who they are. As a charity, they advocate the key role of statistics and data in society, and they work to ensure that policy formulation and decision making are informed by evidence for the public good.

Prize

  • Three finalists will be selected in June, with the winner announced in July at the RSS Statistical Excellence Awards ceremony. The winning article will be published in the October 2017 issue of Significance, and online at significancemagazine.com. Runners-up will be published online at the editor’s discretion.
  • The winning author and runners-up will be invited to give presentations based on their articles at a special session of the Royal Statistical Society International Conference (4–7 September 2017 in Glasgow, Scotland).

Eligibility

  • Open to students or anyone within the first 10 years of their statistical career – whether studying, recently graduated or already working.

Application Process

  • Email submissions as a text/Word file or as a PDF, to [email protected] along with a completed entry form which you can download here.

For more information, visit Statistical Excellence Award for Early Career Writing.

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