• DocumentCode
    737204
  • Title

    Urban Data Games: Creating Smart Citizens for Smart Cities

  • Author

    Wolff, Annika ; Kortuem, Gerd ; Cavero, Jose

  • fYear
    2015
  • fDate
    6-9 July 2015
  • Firstpage
    164
  • Lastpage
    165
  • Abstract
    A bottom-up approach to smart cities places citizens in an active role of contributing, analysing and interpreting data in pursuit of tackling local urban challenges and building a more sustainable future city. This vision can only be realised if citizens have sufficient data literacy skills and experience of large, complex, messy, ever expanding data sets. Schools typically focus on teaching data handling skills using small, personally collected data sets obtained through scientific experimentation, leading to a gap between what is being taught and what will be needed as big data and analytics become more prevalent. This paper proposes an approach to teaching data literacy in the context of urban innovation tasks, using an idea of Urban Data Games. These are supported by a set of training data and resources that will be used in school trials for exploring the problems people have when dealing with large data and trialling novel approaches for teaching data literacy.
  • Keywords
    Big data; Cities and towns; Context; Data visualization; Education; Games; Smart cities; data literacy; smart city; sustainability; urban data; urban innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
  • Conference_Location
    Hualien, Taiwan
  • Type

    conf

  • DOI
    10.1109/ICALT.2015.44
  • Filename
    7265294