About us

The International Conference on Computational Social Science (IC2S2) is the premier conference bringing together researchers from different disciplines interested in using computational and data-intensive methods to address relevant societal problems. IC2S2 hosts academics and practitioners in computational science, social science, complexity, and network science, and provides a platform for new research in the field of computational social science.

Important Dates

Tue, Mar 3, 2026
Abstract registration deadline
Tue, Mar 3, 2026
Submission deadline

Call For Paper

Network analysis of social systems
Large-scale social experiments
Empirically calibrated simulation models
Large language models for social research
Text analysis and natural language processing (NLP) of social phenomena
Analysis of meaning through computational analysis of text, images, audio, video, etc.
Computational methods to map and study cultural patterns and dynamics
Agent-based or other simulation of social phenomena
Methods and issues of social data collection
Images as social data
Causal inference and machine learning
Methods and analyses of biased, selective, or incomplete observational social data
Integration and triangulation of multi-modal social and cultural data
Methods and analyses for social information / digital communication dynamics
Neural network methods for social analysis and policy exploration
Reproducibility in computational social science research
Theoretical discussions/concepts in computational social science
Ethics of computational research on human behavior
Issues of inclusivity in computational social science
Methods and analyses of algorithmic accountability and trustworthiness
Novel digital data and/or computational analyses for addressing societal challenges
Social news curation and collaborative filtering
Building and evaluating socio-technical systems
Methods and analyses of integrated human-machine decision-making
Science and technology studies approaches to computational science work
Infrastructure to facilitate industry/academic cooperation in computational social science
Computational social science research in industry, government, and philanthropy
Practical problems in computational social science

Submissions are in the form of extended abstracts (max 2 pages) in PDF format, formatted according to the official LaTeX or MS Word templates. The submission should include a title, a list of 5 keywords, and an extended abstract (serving as the main text of the submission). Submissions will be non-archival, and thus the presented work can be already published, in preparation for publication elsewhere, or ongoing research. Abstracts will be reviewed by multiple members of a Program Committee composed of experts in computational social science.

Committee

Program Committee Chairs

Peter Dodds

Tim Tangherlini

Brooke Foucault-Welles

Mirta Galesic

Chris Danforth

Juniper Lovato

Alexa Woodward