Page 318 - Special Topic Session (STS) - Volume 4
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STS637 Ronald W. J.
                  to develop methods and tools for needs identification and assessment of “Big
                  Data”  competencies  in  National  Statistical  Systems  (NSSs);  to  build  a
                  competency framework for Big Data acquisition and processing in the current
                  data landscape; and to identify the existing supply of training of data scientists
                  in  academic  and  research  centers.  The  members  of  the  task  team  include
                  national  and  regional  statistical  offices,  development  banks  and  some
                  institutes  with  specific  focus  on  Data  Science,  notably  the  Data  Science
                  Campus of the Office of National Statistics (ONS) of the United Kingdom.
                      The goals of ONS’s Data Science Campus  are to investigate the use of
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                  new data sources, including administrative data and big data for public good
                  and to help build data science capability for the benefit of the UK. A new
                  generation of tools and technologies is being used to exploit the growth and
                  availability of these new data sources and innovative methods to provide rich
                  informed measurement and analyses on the economy, the global environment
                  and wider society. The mission of the ONS Data Science Campus is to work at
                  the  frontier  of  data  science  and  Artificial  Intelligence  –  building  skills  and
                  applying  tools,  methods  and  practices  –  to create  new  understanding and
                  improve decision-making for public good. It defines data science as “applying
                  the tools, methods and practices of the digital and data age to create new
                  understanding and improve decision-making”.

                  3.  Data science for official statistics
                      Data science is a concept to unify statistics, data analysis, machine learning
                  and  their  related  methods  in  order  to  understand  and  analyse  actual
                  phenomena. Figure 1 illustrates how Data Science can be seen to sit at the
                  intersection of mathematics, statistics, computer science, machine learning,
                  traditional research and domain expertise. This Venn-diagram is adapted from
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                  original work of Drew Conway . We will describe two examples of projects,
                  which  use  Data  Science  to  model  and  estimate  statistics  for  government
                  purposes.














                              Figure 1: Data Science at the intersection of multiple disciplines



                  6  See https://datasciencecampus.ons.gov.uk/about-us/
                  7  See for example  http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
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