• DocumentCode
    12531
  • Title

    Pervasive Analytics and Citizen Science [Guest editors´ introduction]

  • Author

    Mascolo, Cecilia ; Paulos, Eric ; Canny, John

  • Author_Institution
    University of Cambridge
  • Volume
    13
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr.-June. 2014
  • Firstpage
    18
  • Lastpage
    19
  • Abstract
    This special issue aims to explore critical elements of the overall design, user experience, and resulting solutions related to using pervasive computing technologies to inform our understanding of the dynamics of ourselves and our ecosystem, community, and urban landscapes. This issue not only explores pervasive technologies but also reviews practical solutions for improving citizens´ health, wellbeing, and everyday lives. Careful attention is also paid to the interplay of social media within this landscape of pervasive analytics and citizen science.
  • Keywords
    Cities and towns; Communities; Design methodolog; Media; Social factors; Special issues and sections; Urban areas; Urban planning; citizen science; data analytics; pervasive analytics; pervasive computing;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2014.32
  • Filename
    6818511