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Computer Science - Information Systems and Applications | EPJ Data Science - a SpringerOpen journal

EPJ Data Science

EPJ Data Science

Editors-in-Chief: F. Schweitzer; A. Vespignani

ISSN: 2193-1127 (electronic version)

Journal no. 13688

Springer Open Access Journal

EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand and spans a range of research areas with a focus on data-driven science

  • A platform for discussing the application of data-driven approaches across many disciplines with emphasis on techno-socio-economic systems 
  • Covers extraction, analysis, enrichment and interpretation of data regarding complex natural and artificial systems
  • Investigates new empirical laws, or more fundamental theories, concerning the function of complex systems

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.

Related subjects » Complexity - Information Systems and Applications

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Google Scholar, DOAJ, OCLC, Summon by ProQuest

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