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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 2023 winners of the Venables Award for New Developers of Open Source Software for Data Analytics sponsored by the ARDC, are FRK by Matthew Sainsbury-Dale and Andrew Zammit-Mangion, and the runner-up predictNMB by Rex Parsons, Robin Blythe, Adrian Barnett, Susannna Cramb and Steven McPhail. 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)

 Dean Marchiori

Independent consultant, NSW  R Industry

 Petra Kuhnert

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

 Nick Tierney

Telethon Kids Institute, WA  R Academia

Yidi Yan

NSW Department of Enterprise, Investment and Trade R, GIS, geo-spatial analysis and visualisation, public policy 

 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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