The International Conference on Computational Social Science (IC2S2) is the premier conference, bringing together researchers interested in using computational and data-intensive methods to solve problems relevant to society. IC2S2 hosts academics and practitioners in computational science, complexity, network science, and social science, providing a platform for new research in the field of computational social science. Researchers across disciplines, faculty, graduate students, industry researchers, policy makers, and nonprofit workers are all encouraged to submit computational data-driven research and innovative computational methodological or theoretical contributions on social phenomena for consideration.
We welcome submissions on any topic in the field of computational social science, including but not limited too:
Data-Driven Social Science
Data-driven work that describes and discovers social and cultural phenomena or explains and estimates relations between them and the larger society- Network analysis of social systems
- Methods and issues of social data collection
- Large-scale social experiments and/or phenomena
- Agent-based or other simulation of social phenomena
- Text analysis and natural language processing (NLP) of social phenomena
- Analysis of meaning through computational analysis of text, images, audio, video, etc.
- Use of computational methods to map and study cultural patterns and dynamics
- Social news curation and collaborative filtering
- Computational social science research in industry, government, and philanthropy
Method Exploration
Work that advances methods and approaches for computational social science- Methods and analyses of integrated human-machine decision-making
- Methods and analyses of biased, selective, or incomplete observational social data
- Methods and analyses for social information / digital communication dynamics
- Integration and triangulation of multi-modal social and cultural data
- Causal inference and computational methods for social science
- Neural network methods for social analysis and policy exploration
- Methods and analyses of algorithmic accountability and trustworthiness
- Building and evaluating socio-technical systems
- Reproducibility in computational social science research
- Infrastructure to facilitate industry/academic cooperation in computational social science
- Novel digital data and/or computational analyses for addressing societal challenges
Computational Social Science Theory
Theoretical work that generates new insights, connections and frameworks for computational social science research.- Theoretical discussions/concepts in computational social science
- Science and technology studies approaches to computational science work
- Practical problems in computational social science
- Issues of inclusivity in computational social science
- Ethics of computational research on human behavior