For Early-Career Statisticians
Are you an early-career statistician with the ability to tell data-driven stories in an entertaining and thought-provoking way? If so, we invite you to enter our 2017 writing competition. As in past years, the competition is jointly organised by Significance and the Young Statisticians Section of the Royal Statistical Society (RSS). However, this year the competition forms part of the RSS Statistical Excellence Awards programme, and the prize has been renamed “The Statistical Excellence Award for Early Career Writing”.
The rules of entry are simple. Send us your best article, of between 1,500 and 2,500 words, on the subject of your choosing. The article could be on work that you have done, or it could explain the work of others. But to stand the best chance of winning, your article really needs to demonstrate the power that statistics has to challenge myths, shape decisions and explain the world around us.
Whatever you choose to write about, articles must be engaging and easy to read. Significance is published for a broad audience of readers, with varying levels of statistical expertise. This means technical terms and mathematics should be kept to a minimum and explained clearly where used.
8-29 March 2017
Our debut series has the theme Statistical Computing in the Data Age and will run 8-22 March, 2017. Scheduled from 6pm to 730pm (lecture begins at 6.30pm), on March 8, 15, 22, and 29.
Statistics has become essential in the Information Age. We have increasing ability to collect vast quantities of data, but often still struggle to make sense of it. The Ihaka lectures aim to highlight the important role that both statistics and computing play in this endeavour.
We will be streaming them live for all of those who cannot join us physically.
Details of the stream link will be available on the page at the time of streaming.
There are also screenings at Massey University in Palmerston North and Victoria University in Wellington
8th: Expressing yourself with R – Hadley Wickham, RStudio
15th: R and data journalism – Harkanwal Singh, NZ Herald
22nd: Interactive visualisation and fast computation of the solution path for convex clustering and biclustering – Genevera Allen, Rice University
29th: Statistical computing in a (more) static environment – Ross Ihaka, University of Auckland
INTERNATIONAL CONFERENCE ON ROBUST STATISTICS 2017, 3-7 July, Wollongong, Australia
The International Conference on Robust Statistics (ICORS) 2017 will take place at the University of Wollongong, Australia, from the 3rd to 7th July 2017. The aim of the ICORS conferences is to bring together researchers and practitioners interested in robust statistics, data analysis and related areas. This includes theoretical and applied statisticians as well as data analysts from other fields, and leading experts as well as junior researchers and graduate students. The conference will be a mix of invited and contributed talks and will include sessions specifically for young statisticians.
Registration and abstract submission are available through niasra.uow.edu.au/icors2017. Early bird registration fees are AU$400 for regular attendees and AU$200 for students with an early bird deadline of 19 May 2017.
The final day of the conference (Friday 7 July 2017) will include a workshop on Robust Inference for Sample Surveys. ICORS registration includes the 1-day workshop on Friday. Registration for the workshop only is AU$100.
The deadline for submission of an Abstract is 27 Feb 2017.
ICORS has been held annually since 2001. The conference creates a forum to discuss recent progress and emerging ideas in statistics and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
Keynote speakers for ICORS 2017 are:
Professor Irène Gijbels (University of Leuven)
Professor Graciela Boente (University of Buenos Aires)
Professor Noel Cressie (University of Wollongong)
Professor Ray Chambers (University of Wollongong)
Just over 50 years ago, three papers appeared which independently described the fundamental approach for analyzing capture-recapture data. It is now called the Cormack-Jolly-Seber model. This anniversary is celebrated in the second issue of Statistical Science, 2016, guest edited by Steve Buckland and Byron Morgan. It features transcribed interviews with George Seber and Richard Cormack. In addition there are eight research papers that demonstrate how the capture- recapture area is still developing, with applications to genetics, social and medical areas, as well as ecology.
Massey University, Palmerston North
Come join us at Massey University, Palmerston North to solve interesting and vital industry challenges to help New Zealand businesses innovate and grow.
Where: Massey University, Palmerston North
When: 26-30 June 2017
Youtube video from the 2015 event: https://www.youtube.com/channel/UCBdlFHZ1WA4kiy3WQABUGjA
Last Modified: Thursday, 2nd March 2017