Computational Social Science
A section of Computation (ISSN 2079-3197).
Section Information
This Section, "Computational Social Science", will cover the application of computational methods in social sciences, including sociology, economics, business, political science, psychology, linguistics, and other disciplines. It showcases cutting-edge research in computational intelligence and advanced techniques to address pivotal challenges within social science. We welcome high-quality empirical and theoretical contributions highlighting recent advancements and innovative applications in this dynamic interdisciplinary domain.
In particular (but not exclusively), this Section invites contributions that report on:
- economic modeling;
- risk management;
- business decision making;
- epidemic model;
- sociological models;
- social media and social complex network analysis;
- modeling of complex social structures;
- natural language processing.
Editorial Board
Special Issues
Following special issues within this section are currently open for submissions:
- Computational Social Science and Complex Systems—2nd Edition (Deadline: 30 September 2026)
- Computational Market Design and Matching in Socio-Technical Systems (Deadline: 31 October 2026)
- Machine Learning and Large Language Models (LLMs) for Healthcare Analytics (Deadline: 30 December 2026)
- Computational Modeling in Business Analytics and Strategy Optimization (Deadline: 30 December 2026)
- Modern Applications for Computational Methods in Applied Economics and Business Engineering (Deadline: 31 December 2026)
- Recent Advances on Computational Linguistics and Natural Language Processing—2nd Edition (Deadline: 15 February 2027)
- Modern Applications for Computational Methods in Economics and Business—2nd Edition (Deadline: 31 May 2027)
- Computational Intelligence for Sustainable Economic, Social and Environmental Systems (Deadline: 30 June 2027)
- Computational Methods for Systemic Risk and Financial Dynamics (Deadline: 31 August 2027)
