Title :
Pervasive Analytics and Citizen Science [Guest editors´ introduction]
Author :
Mascolo, Cecilia ; Paulos, Eric ; Canny, John
Author_Institution :
University of Cambridge
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;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2014.32