This international conference (now in its third edition) aims to bring together scientists from different disciplines and research areas to meet and discuss computational problems in the study of social systems and dynamics, as well as research questions motivated by large datasets, either extracted from real applications (e.g. social media, communication systems), or created via controlled experiments or computational models The goal of the conference is to create a broad and interdisciplinary community of researchers, including academics, tech industry workers, open data activists, government agency workers, and think tank analysts, who are committed to advancing social science knowledge through computational methods.

In addition to keynote speakers and paper sessions, the conference will also include a series of training opportunities and tutorials.

We welcome submissions on any topic in the intersection of the social sciences and the computer sciences, including (a) new approaches for understanding social phenomena, (b) improving methods for computational social science, (c) and improving conditions for computational social science research. But we are especially interested in:

- Methods and analyses of integrated human-machine decision-making
- Text analysis and natural language processing of social phenomena
- Network analysis of social systems
- Large-scale social experiments and/or phenomena
- Causal inference and computational methods for social science
- Methods and analyses of algorithmic accountability
- Building and evaluating socio-technical systems
- Novel digital data and/or computational analyses for addressing societal challenges
- Methods and analyses of biased, selective, or incomplete observational social data
- Social news curation and collaborative filtering
- Methodological integration and triangulation of social data
- Methods and analyses for social information / digital communication dynamics
- Ethics of computational research on human behavior
- Reproducibility in computational social science research
- Infrastructure to facilitate industry/academic cooperation in computational social science
- Computational social science research in industry
- Science and technology studies approaches to computational science work
- Practical problems in computational social science
- Issues of inclusivity in computational social science
- All other topics in computational social science

Researchers across disciplines, faculty, graduate students, industry researchers, policy makers, and non-profit workers are all encouraged to submit computational data-driven research and innovative computational methodological or theoretical contributions on social phenomena for consideration.