Consumers and organizations often rely on permissions requested during the installation of
mobile applications (apps) and on official privacy policies to determine how safe an app is …

This paper shows data science's potential for disruptive innovation in science, industry,
policy, and people's lives. We present how data science impacts science and society at …

In community design efforts, the analysis of public stakeholders' perceptions and usage of
community places can inform decisions affecting the built environment. However, accessing …

Mobility of population is one of major problems in large metropolitan areas. It affects different
social, economic and environmental aspects of a city's life. Urban mobility is characterised …

This paper presents a framework for research infrastructures enabling ethically sensitive and
legally compliant data science in Europe. Our goal is to describe how to design and …

Measuring the size of a crowd in a specific location can be of crucial importance for crowd
management, in particular in emergency situations. Here, using two football stadiums as …

In this study, Call Detail Records (CDRs) covering Budapest for the month of June in 2016
were analyzed. During this observation period, the 2016 UEFA European Football …

Urban mobility is known to have a relevant impact on work related car accidents especially
during commuting. It is characterized by highly dynamic spatial–temporal variability. There …

When coupled with spatio-temporal context, location-based data collected in mobile cellular
networks provide insights into patterns of human activity, interactions, and mobility. Whilst …

The availability of mobile phone data has encouraged the development of different data-
driven tools, supporting social science studies and providing new data sources to the …