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Issue No. 02 - Apr.-June. (2014 vol. 13)
ISSN: 1536-1268
pp: 18-19
Cecilia Mascolo , University of Cambridge
Eric Paulos , University of California, Berkeley
John Canny , University of California, Berkeley
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.
Special issues and sections, Urban areas, Urban planning, Media, Design methodolog, Social factors

C. Mascolo, E. Paulos and J. Canny, "Pervasive Analytics and Citizen Science [Guest editors' introduction]," in IEEE Pervasive Computing, vol. 13, no. 2, pp. 18-19, 2014.
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