Sylvia Richardson, Peter Diggle and Duncan Ross discuss data science at the RSS International Conference 2014
The 2014 International Conference of the Royal Statistical Society (RSS) took from 1-4 September at Sheffield City Hall in Sheffield, South Yorkshire.
The last day of the Conference saw Sylvia Richardson (MRC Biostatistics Unit Director), Peter Diggle (Lancaster University) and Duncan Ross (Data Science, Teradata and Society of Data Miners) discuss about whether data science was a threat or a friend of statistics. This session was chaired by executive director of the RSS, Hetan Shah.
In recent years terms such as ‘big data’ and ‘data science’ have become relatively sexy. The statistical community has had a mixed relationship with these terms. Some have embraced them, others see them as representing something genuinely new and different, and many have felt they do not add much to what the discipline of statistics already covers. This panel session brought a range of perspectives to the question of ‘who is afraid of data science’? In other words how should the statistical community understand the rise of ‘data science’ and what might it mean for the future?
— yss (@statsyss) September 4, 2014
The RSS Conference provides a unique opportunity in the UK for statisticians and users of statistics of all ages and professional backgrounds to gather and exchange knowledge and experiences, whether in the formal conference sessions or in the many opportunities for networking at refreshment breaks or at evening social events. The conference regularly attracts over 400 participants ranging from senior academic statisticians through to new graduates and postgraduate students, with strong representation from the public sector as well as statisticians working in industry or as independent consultants. Attendees come from all corners of the world – typically 25-30 different countries are represented at the conference. A strength of the conference is the breadth and variety of its programme of talks and workshops with sessions appealing to both theoretical and applied statisticians, those working in the areas of official, medical, environmental statistics (amongst many others), people working with data more generally or indeed those with a general interest in the topic.