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Logo of the Statistical Computing and Visualisation Section, showing joy plot, bar chart and scripting interface for code.

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 2025 Di Cook Award for student developers of Open Source Software is now open for applications. Registration is open for OceaniaR Hackathon Nov 23, ANU, Canberra, and WOMBAT 2025, Sep 29-30, Melbourne. Save the date for R Dev Day Nov 21, 2025 in Melbourne. We are organising a session for the Australian Statistics Conference, to be held in Perth, Dec 1-5. Past and upcoming SCV Section tutorials can be viewed 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, open source software  Academia
     Co-chair (Computing)

     Dean Marchiori


    		 Independent consultant, NSW R, applied mathematics and statistics, data science, consulting Industry
     Committee

     Petra Kuhnert


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

     Nick Tierney

    		 The Kids Institute, WA R, applied statistics, data wrangling, visualisation Academia
     

    Fonti Kar


    		 University of NSW R, software development, evolutionary biology, statistics
    		 Academia
     

     

    		 


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