Abstract submissions are now open for IC²S² 2023, the premier conference for interdisciplinary researchers interested in using computational and data-intensive methods to address societally relevant problems.

IC²S² 2023

The 9th annual International Conference for Computational Social Science (IC2S2) is now accepting abstract submissions through February 24, 2023.

IC2S2 has emerged as the dominant conference at the intersection of social and computational science, bringing together researchers from around the world in economics, sociology, political science, psychology, cognitive science, management, computer science, statistics and the full range of natural and applied sciences committed to understanding the social world through large-scale data and computation. Unlike important social computing and associated computer science conferences, the IC2S2 community actively balances and maintains a conversation between social and computational scientists which integrates technological advances and opportunities with social scientific rigor and insight.

IC2S2 2023 will be held at the Mærsk Tower of the University of Copenhagen, July 17-20. The conference will begin with a one-day session of tutorials in a range of social and computational methods (July 17). This will be followed by a full-scale three-day conference (July 18-20) featuring research and researchers from around the world, across a broad range of relevant fields, and working on all areas of computational social science to advance its many frontiers.

IC2S2 now welcomes submissions on any topic in the field of computational social science, including:

  • work that advances methods and approaches for computational social science,
  • data-driven work that describes and discovers social and cultural phenomena or explains and estimates relations between them and other things, and
  • theoretical work that generates new insights, connections and frameworks for computational social science research.

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. Topics include but are not limited to:

  • Methods and analyses of integrated human-machine decision-making
  • 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
  • Theoretical discussions/concepts in computational social science
  • 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
  • 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
  • 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, government, and philanthropy
  • 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

For more information, including full submission guidelines, visit the 2023 call for abstracts.

IC2S2 is organized by the International Society for Computational Social Science (ISCSS), where CSSLab director Duncan Watts serves as President.