Are you an early-career statistician with the ability to write data-driven stories in an entertaining and thought-provoking way? If so, we invite you to enter the 2018 Statistical Excellence Award for Early-Career Writing. The competition is jointly organised by Significance and the Young Statisticians Section of the Royal Statistical Society (RSS) and forms part of the RSS Statistical Excellence Awards programme.
Application Deadline: 28th May, 2018
Offered annually? Yes
To be taken at (country): Wales
About the Award: The rules of entry are simple: send us your best article, of between 1500 and 2500 words, on the subject of your choosing.
In past years, winning submissions have been based on original analyses produced specifically for the competition. This does take work, but it often results in a unique and compelling article.
You can write about work you have done as part of your studies, or during your career, but if these articles draw on previously published work, you must ensure that the competition submission is sufficiently different in terms of style and structure. Remember, Significance is a magazine, not an academic journal.
You can also write about the work of others, but this must be in the form of a critique or wider overview of a subject area.
Whatever you choose to write about, articles must be engaging and easy to read. Significance is published for a broad audience with varying levels of statistical expertise. This means technical terms and mathematics should be kept to a minimum and explained clearly where used.
Type: Contest
Eligibility: The competition is open to:
Selection Criteria:
Number of Awardees: 3
Value of Program:
Duration of Program: 3–6 September 2018
How to Apply: Email your submission as a text/Word file or PDF to significance@rss.org.uk. Make sure to include the competition entry form.
Visit Contest Webpage for details
Award Provider: The Royal Statistical Society, RSS (Young Statisticians Section); AND Significance Magazine
This post was last modified on April 24, 2018 10:18 am