European Physical Journal Data Science

EPJ Data Science is a platform for discussing the challenges of applying data-driven science to a range of research areas, with a focus on techno-socio-economic systems including human and animal social behavior and interaction, economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, and more.

Publisher
Springer
History
2012-present
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What 15 years of mobile data can say about us

Large-scale anonymised datasets from mobile phones can give a better picture of society than ever before available. Mobile phone use helps us understand social networks, mobility and human behaviour. A review article recently ...

dateAug 05, 2015 in Computer Sciences
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Behavioral studies from mobile crowd-sensing

Using mobile phones for research is not new. However, interpreting the data collected from volunteers' own smart phones—which has the potential to emulate randomised trials—can advance research into human behaviour. In ...

dateDec 22, 2015 in Computer Sciences
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Toward a scientific process freed from systemic bias

Research on how science works - the science of science - can benefit from studying the digital traces generated during the research process, such as peer-reviewed publications. This type of research is crucial for the future ...

dateJan 26, 2015 in Other
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Twitter data crunching: The new crystal ball

Fabio Ciulla from Northeastern University, Boston, USA, and his colleagues demonstrated that the elimination of contestants in TV talent shows based on public voting, such as American Idol, can be anticipated. They unveiled ...

dateAug 29, 2012 in Computer Sciences
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