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Social Sciences | Journal of Computational Social Science (Editorial Board)

Journal of Computational Social Science

Journal of Computational Social Science

Editor-in-Chief: Takashi Kamihigashi

ISSN: 2432-2717 (print version)
ISSN: 2432-2725 (electronic version)

Journal no. 42001

Editor in Chief
Takashi Kamihigashi, Center for Computational Social Science (CCSS) and Research Institute for Economics and Business Administration (RIEB), Kobe University, Japan

Associate Editors
Alex Arenas, Department d’Enginyeria Informática i Matemátiques, Universitat Rovira i Virgili, Spain
Danushka Bollegala, Department of Computer Science, University of Liverpool, UK
Giovanni Luca Ciampaglia, Network Science Institute, Indiana University, USA
Bruno Goncalves, Center for Data Science, New York University, USA
Peter Hedström, Institute for Analytical Sociology (IAS), Linköping University, Sweden
Hawoong Jeong, Complex Systems and Statistical Physics Laboratory (CSSPL) and Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Korea
János Kertész, Center for Network Science, Central European University, Hungary
Kristina Lerman, Information Sciences Institute, Department of Computer Science, University of Southern California, USA
Hernan Makse, Levich Institute, Department of Physics, City College of New York, USA
Itsuki Noda, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan
Lin Qiu, Division of Psychology, School of Humanities and Social Sciences, Nanyang Technological University, Singapore
John Stachurski, Research School of Economics, Australian National University, Australia
Misako Takayasu, Institute of Innovative Research, Tokyo Institute of Technology, Japan
Stefan Thurner, Section for Science of Complex Systems, Medical University of Vienna, Austria
Matthew Williams, Data Innovation Research Institute, School of Social Sciences, Cardiff University, UK

For authors and editors

  • Aims and Scope

    Aims and Scope

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    The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science. In addition to topics conventionally associated with computational social science, the journal invites contributions that analyze social/ economic phenomena or structures using computational approaches related to, but not restricted to, the following methods or fields:

    complex systems, economic modeling, econophysics, financial networks, risk management, urban planning, transportation analysis, artificial intelligence, image processing, text analytics, computational linguistics, numerical optimization, simulation-based statistical inference, and high-performance computing.

    We invite contributions from researchers in any field who analyze social/ economic phenomena or structures based on large-scale data, simulations, or other computational approaches.

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  • Instructions for Authors

    Instructions for Authors

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  • Call For Paper (pdf, 18 kB)