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STS2320 Bruno André R. C. et al.



                                 Moving from traditional data to big data in

                                        assessing knowledge societies
                                                                                 1
                                                                     1
                                                 1
                   Bruno André RodriguesCoelho , Stamatis Kalogirou , Iakov Frizis , Anthony
                                                            2
                                                   Fakhoury
                          1 PwC Luxembourg,  United Nations Development Programme
                                            2

                  Abstract
                  After years of measuring the current state of knowledge based on data from
                  national  statistical  and data  systems,  and  given  the  exponential  growth  of
                  knowledge creation, a new knowledge measurement tool using big data is
                  being designed to better understand the future of knowledge societies. This
                  report presents a pilot study, covering 20 countries, on the future fields of
                  knowledge that will shape the future of knowledge societies. The purpose of
                  the study is to have a better understanding of today’s strong and weak signals
                  in the next wave of (technology) disruption by testing a new way to capture
                  and analyse real-time data associated with five key future fields of knowledge:
                  Artificial Intelligence (AI), Cybersecurity, Blockchain, Biotechnology, and Future
                  Skills and to accelerate knowledge development by helping country leaders to
                  benchmark their performance against that of front-runners.
                  To ensure a reliable representation of the variation in readiness for the future
                  across countries, it is essential to use tools that enable the gathering of data
                  as close to real time as possible. This helps us identify and discuss the latest
                  technological  advances,  the  future  impact  of  technological  change  on  the
                  economy  and  society,  and  the  level  of  technological  awareness  that
                  characterizes labour markets.

                  Keywords
                  Real-time data

                  1.  Introduction
                      The  Fourth  Industrial  Revolution  (also  called  Industry  4.0)  is  unfolding
                  before  our  eyes.  It  is  the  era  of  creative  convergence,  where  a  myriad  of
                  technologies  that  span  themes  such  as  the  Internet  of  Things  (IoT),  cloud
                  computing, big data analytics and artificial intelligence (AI) begin to connect,
                  (PriceWaterHouseCoopers,  2016)  creating  an  ecosystem  in  which  each
                  technology both exploits and fosters the development of the others (OECD,
                  2017). This revolution creates unprecedented opportunities and challenges for
                  businesses and societies alike. It is distinct from prior revolutions, given its
                  intensity,  complexity  and  scope,  and  it  is  rooted  in  a  new  technological
                  phenomenon – digitalization, i.e. the integration of digital technologies – that
                  is  penetrating  the  infrastructure  of  every  business,  organization  and


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