The goal of the present thematic series is to showcase some of the most relevant contributions submitted to the ‘Telecom Italia Big Data Challenge 2014’ and to provide a discussion venue about recent advances in the appplication of mobile phone and social media data to the study of individual and collective behaviors. Particular attention is devoted to data-driven studies aimed at understanding city dynamics. These studies include: modeling individual and collective traffic patterns and automatically identifying areas with traffic congestion, creating high-resolution population estimates for Milan inhabitants, clustering urban dynamics of migrants and visitors traveling to a city for business or tourism, and investigating the relationship between urban communication and urban happiness.
Making big data work: smart, sustainable, and safe cities
Bruno Lepri, Fabrizio Antonelli, Fabio Pianesi and Alex Pentland
EPJ Data Science 2015, 4:16 http://dx.doi.org/10.1140/epjds/s13688-015-0050-4 ;
Via Complexity Digest
Interesting results of Telecom Italia's 2014 Bid Data Challenge - if smart cities are of interest - worth reading.