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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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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Tracking gene flow in marine plant evolution

A new method that could give a deeper insight into evolutional biology by tracing directionality in gene migration has just appeared in EPJ Data Science. Paolo Masucci from the Centre for Advanced Spatial Analysis, at Uni ...

dateDec 10, 2012 in Biotechnology
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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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Positive words: the glue to social interaction

(Phys.org) -- Scientists at ETH Zurich have studied the use of language, finding that words with a positive emotional content are more frequently used in written communication. This result supports the theory that social ...

dateMay 24, 2012 in Social Sciences
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