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The Past, Present, and Future of Computational Social Science

EPJ Data Science is bringing together a Topical Collection on The Past, Present, and Future of Computational Social Science

Computational Social Science is a rapidly evolving scientific discipline. Theoretical, methodological, and empirical innovations are simultaneously produced in a variety of traditional scientific fields, such as the social sciences, computer science, mathematics and statistics, physics, psychology, and communication research.
This Topical Collection aims at exploring disciplinary gaps and learning opportunities. It builds upon cross-disciplinary reviews and discussions of keynote presentations at the community's prime conference: The International Conference on Computational Social Science (IC2S2) in 2021. Through these pieces, it aims at contributing to an understanding of the past, present and future opportunities for the field of computational social science.

Guest Editors:
Termeh Shafie, GESIS Cologne, Germany
Christoph Stadtfeld, ETH Zurich, Switzerland

Submit your manuscript here

There are currently no articles in this collection.

Annual journal metrics

  • 2022 Citation Impact
    3.6 - 2-year Impact Factor
    4.4 - 5-year Impact Factor
    1.625 - SNIP (Source Normalized Impact per Paper)
    1.066 - SJR (SCImago Journal Rank)

    2022 Speed
    9 days submission to first editorial decision for all manuscripts (Median)
    214 days submission to accept (Median)

    2022 Usage 
    10,315 Altmetric mentions 

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