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Statistical Computing and Visualisation

Computing and graphics are vital areas of statistical practice,  especially important for today's data-driven practices. This section supports SSA members with: 

      • The provision of a community interested in computer hardware, software, and programming systems applied to statistical problems. 
      • Developing the use and understanding of statistical graphics to foster best practices in research, education, media and the general public.
      • Activities to build community, develop broader understanding and inspire new ideas and research.
      • Encouraging and rewarding impactful computing and graphics contributions with state and national awards. 

The Section is pleased to announce the winners of the inaugural Venables Award for New Developers of Open Source Software for Data Analytics sponsored by the ARDC, are Vizumap and VizumApp by Sam Nelson, Lydia Lucchesi, Petra Kuhnert, two runners-up readabs by Matt Cowgill and galah by Martin Westgate, Dax Kellie, Matilda Stevenson, Peggy Newman. More details are here.

Meet the committee

Position  Name  Affiliation  Expertise  Sector 
 Co-chair (Graphics)

 Di Cook

Monash University, VIC  R, interactive data visualisation, exploratory data analysis, high dimensions, bioinformatics, ecology, environment, sports, open source software  Academia
 Co-chair (Computing)

 Nick Tierney

 Telethon Kids Institute, WA  R  Academia

 Petra Kuhnert

 CSIRO, NT R, intersection of statistics and machine learning, risk-based decision-making, environmental problems

 Dean Marchiori

Endeavour Energy, NSW  R  Industry
   Thasmika Gokal Microsoft, QLD  Python  Industry

 Emily Wong

Victor Chang Cardiac Research Institute, NSW  R, bioinformatics, genomics, multi-dimensional data, effective presentation of complex data/statistical inference in science 

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