First issue published in January 2018.

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
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.

• Publishes research spanning the social sciences, physics, biology, management science, computer science, and data science
• Covers computational approaches to related fields: complex systems, financial networks, urban planning and transportation analysis, computational linguistics, and more
Benefits scholars seeking to understand social and economic structures and phenomena from a computational point of view