Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it
unfolds in the course of daily life. Data can be collected from the onboard sensors and other …

Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length
away, these sensor-rich devices can easily be repurposed to collect rich and extensive …

Large-scale data sets of human behavior have the potential to fundamentally transform the
way we fight diseases, design cities, or perform research. Metadata, however, contain …

This paper presents a new method for sentiment analysis in Facebook that, starting from
messages written by users, supports:(i) to extract information about the users' sentiment …

Background and aims Over the last decade, worldwide smartphone usage has greatly
increased. Alongside this growth, research on the influence of smartphones on human …

Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …

We overview the framework and the results for the Author Profiling Shared Task organised at
PAN 2015. This year's task aims at identifying age, gender, and personality traits of Twitter …

In this paper, we present a novel approach to predict crime in a geographic space from
multiple data sources, in particular mobile phone and demographic data. The main …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …