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Venables Award for New Developers of Open Source Software for Data Analytics

Venables Award for New Developers of Open Source Software for Data Analytics sponsored by the ARDC

The goal of this award is to encourage new open source software development from the Australian community with a view to support efforts to develop and share data science and statistics methodology. Here’s Bill Venables talking about his experiences, and why this award is important.

Winners Announced!

Congratulations to all of the ten submissions! The team of international and national judges had a very difficult time determining a winner. The final decision was one winner and two equal runners-up.

In August 2022, the winners will present their software in a public talk. Watch the SSA events web site for the schedule.

Entries for the 2023 award will open in early March 2023. Start planning your submission now!

Winner

The package provides functionality for visualising uncertainty in spatial data. There are four approaches: bivariate maps, map pixelation, glyph rotation and exceedance probability maps. These are original and innovative ideas solving a complex problem. The package is available at https://github.com/lydialucchesi/Vizumap and documented in the Journal of Open Source Software at https://joss.theoj.org/papers/10.21105/joss.02409. Users can access the shiny app at https://shiny.csiro.au/VizumApp/.

Runners-up

This package helps to download, import, and tidy data from the Australian Bureau of Statistics within R. It provides a valuable resource for the Australian analytics community. More details on the package can be found at https://mattcowgill.github.io/readabs/.

This package provides an interface to the data hosted by the Atlas of Living Australia (ALA) and other living atlases, enabling users to locate and download species occurrence records (observations, specimens, eDNA records, etc.), taxonomic information, or associated media such as images or sounds, and to restrict their queries to particular taxa or locations. It provides a valuable service especially to the ecological community in Australia.

Call for Submission

Developers need to submit their work for consideration, along with a nomination from an SSA member.

Eligibility

We acknowledge our diverse developer community and especially encourage submissions from under-represented individuals and groups, and new software developers from academia, industry or government.

Criteria

Judges & Assessors

The award will be managed by the SSA SCV committee, who will recruit a judging panel in any year.

Submit an Application

To submit, please complete this Application form

Important Dates

Date What
Apr 16, 2022 Opening of submissions
Sat May 14 Fri May 20 2022 Close of submissions
Jun 2022 Announcement of the award winners

Prize

First prize will be $4000, with a runner-up prize of $1000. If the judges deem appropriate there may be equal first or runners-up, resulting in a division of the prize money.

Bill Venables

Bill Venables pioneered the use of the S and consequently R languages in Australia. His book “Modern Applied Statistics with S” co-authored with Brian Ripley was the primary manner that many analysts learned their trade, across the globe. It is now in its fourth edition. For many people, Bill’s tutorials on data analysis with S and R was the first entry point to working with data. Throughout his many years in academia and with CSIRO, Bill has contributed to the analysis of data from many fields but primarily in ecology, environment, and climate change.

About the Sponsor

The ARDC is a federally funded digital research infrastructure facility enabled by NCRIS. The ARDC Research Software program is pursuing a vision of recognition of research software as a first-class output of research. The sponsorship of this award is in aid of recognising the valuable contribution made to research when new ideas, methods and models are captured in this uniquely actionable form of knowledge representation.

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.