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
Website
http://www.springerlink.com/content/2193-1127/

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Humanitarian efforts could be aided by AI

Researchers have developed an AI algorithm to accurately predict the gender of pre-paid mobile phone users, which could be useful in crises.

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 ...

Disinformation may reinforce polarization in society

With over 4 billion people eligible to vote in elections, 2024 is the largest election year ever. At the same time, disinformation and polarization on social media pose unprecedented challenges to the democratic process.

What can we learn from the Great Resignation?

The Great Resignation appears to be ending, according to economists. But what can companies and leaders learn from the rapid pace of job-quitting in recent years in order to prevent employees from leaving? A study out of ...

Unlocking urban diversity: The magnetism of complex amenities

Diversity fuels prosperity in cities, but where do people from diverse backgrounds meet? A study from the Complexity Science Hub now indicates that locations offering a range of rare shops and services may hold the key.

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