Page 83 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good
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ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018



          data. This has already been done in some industries   development of smart cities, it is essential to  em-
          that  have  implemented  a  risk  management  ap-    brace a risk management approach that takes into
          proach [13]. Another critical issue is the question of   account new risks and threats on an ongoing basis.
          risk  appetite  and,  more  pragmatically,  who  bears   And this simply is not possible without the aware-
          the risks and will have to bear the costs of uncer-  ness and improvement of people's digital skills.
          tainty: companies, governments, cities or citizens?
                                                               The stakeholders involved in or impacted by the im-
          5.   PEOPLE’S SKILLS                                 plementation of smart city applications – cities, citi-
                                                               zens, companies, public and private organizations –
          Smart sustainable cities are cities where people are   must remain flexible and ready to adapt to the digi-
          equipped to face the challenges that arise from their   tal future. Otherwise, we run the risk of generating
          economic  and  social  environment.  Adapting  indi-  huge costs due to a lack of preparation, which the
          viduals’ skills to meet the current and future needs   ecosystem as a whole will have to pay.
          brought  about  by  digitization  and  technical  pro-
          gress  is  therefore  a  priority  for  each  and  every   REFERENCES
          stakeholder – cities, companies, states and citizens.
          As noted in the Geneva Initiative on Capacity Devel-  [1]   https://www.itu.int (FG-SSC)
          opment  in  Digital  Policy,  digital  development  in-
          volves many unknown unknowns and needs to re-        [2]   https://synchronicity-iot.eu/
          main flexible and ready to adapt to change [14].
                                                               [3]   Dr. F. Sielker & Prof. P. Allmendinger’s report
          At the “Shape Your Digital Future!” Internet Govern-       provides  an  overview  of  six  countries’  BIM
          ance Forum held in Geneva in December 2017 [15],           strategies:  International experiences:  Future
          a strong consensus emerged on two points:                  Cities and BIM,  University  of  Cambridge
                                                                     (2018). As the adoption of BIM is not yet gen-
          Skills gap analysis: The need to bridge gaps and           eralized, some initiatives aim to promote its
          train individuals through continuous, flexible train-      development.  The  Smart  Buildings  Alliance
          ing plans. As the Council of Europe points out, digi-      for Smart Cities principles are one example:
          tal training is a process, not a state that individuals    http://www.smartbuildingsalliance.org/
          reach after completing a training course [16].

          Soft skills: The need to raise awareness about the   [4]   The Principles for effective risk data aggrega-
          importance  of  soft  skills  and  encourage  curiosity    tion and risk reporting published by the Basel
          and creativity to understand the digital world and         Committee on Banking Supervision are a con-
          the changes it brings.                                     crete example of a data governance initiative
                                                                     at industry  level, which  emphasizes the im-
          Each organization should, without delay, take stock        portance  of  having  reliable,  available,  and
          of the above and implement the necessary measures          complete data to ensure a comprehensive un-
          locally to draw up the inventory of skills and needs,      derstanding  of  the  analyzed  environment:
          train individuals and prepare training plans. Creat-       https://www.bis.org/publ/bcbs239.pdf
          ing smart sustainable cities means recruiting digital
          skills in line with current and future needs, empha-  [5]   This document, in French, analyses data ma-
          sizing the development of soft skills, and nurturing       nagement as a challenge for the future of com-
          people’s ability to change and evolve.                     munities : Collecte et gestion des données nu-
                                                                     mériques pour le pilotage des politiques pu-
          6.   CONCLUSION                                            bliques - Vers un big data territorial.
                                                                     http://www.fnccr.asso.fr/article/big-data-
          The digital development of cities and large use of         territorial-publication-de-letude-de-la-fnccr/
          data  raises  many  governance  challenges,  starting
          with the  need for operational data governance to    [6]   Here are some examples of risk management
          manage the heterogeneous data produced.                    standards,  methodologies  and  applications:
                                                                     (i) The International Organization for Stand-
          Given the uncertainty generated by new technolo-           ardization  (ISO)  publishes  ISO31000  stand-
          gies and business models, to ensure the sustainable        ard on Risk management, (ii) Enterprise Risk




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