Statistical software tools make a considerable difference to the daily life of an analyst. This Award aims to:
- Encourage statistical software development by providing formal recognition of these developments
- Showcase the pool of statistical software developers in our local communities and
- Raise awareness of the statistical tools developed by community members.
The use of open-source software (e.g. Python and R) is fast growing among users of programming languages, and such software is widely used for statistical computing and graphics. This Award focuses on open-source software because the methods are transparent to users, and many of the contributions are volunteered by the community with little remuneration or formal recognition. This is a factor which this Award aims to address.
Professor Dianne Cook
Professor Dianne Cook was born and raised in regional Australia. She
completed her Bachelor of Science at the University of New England
before heading to the USA to complete her PhD in Statistics at Rutgers
University. Prof. Cook spent most of her academic career at the
Department of Statistics at the Iowa State University before returning
back to Australia in 2015 to join the Department of Econometrics and
Business Statistics at Monash University. She is particularly well known
for her research in visual inference and high-dimensional data
visualisation and as an avid advocate of statistical software
development. A number of students under her supervision have developed
highly successful R packages, including Hadley Wickham who developed
ggplot2, Yihui Xie who developed knitr and
Earo Wang who developed tsibble.
Contact
If you have any enquiries about this award, please get in touch by emailing vic.branch@statsoc.org.au.