Call for Abstracts
Why OpenReview?

Important dates

  • Abstract submission deadline: February 24, 2023
  • Notification of acceptance: April 14, 2023
  • Early-bird registration deadline: Early May 2023
  • Conference days: July 18-20, 2023

Submission instructions

Submissions are in the form of an extended abstracts (max 2 pages), formatted according to the official LATEX template or MS WORD template. The abstract file must be submitted in PDF format and should be no larger than 20MB. Submissions that exceed the 2-page limit will be automatically rejected. The submission should include a title, a list of 5 keywords, and an extended abstract (= main text of the submission). The abstract should outline the main theoretical contribution, data and methods used, findings, and the impact of the work, whichever is relevant. Authors are strongly encouraged to include figures and/or tables in their submission (note that figures will not count towards the page limit). Submitted abstracts will undergo a double-blind review process, therefore, abstracts must be anonymized: do not include the author(s) names or affiliation(s) in the paper, and do not include funding or other acknowledgments. When submitting, authors will be also asked to provide a short summary paragraph that will be used during the review bidding phase. Submissions that violate these guidelines will be automatically rejected.

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. The accepted contributions will be selected for one of the following presentations: (i) a lightning talk (~6 mins) in a plenary session, (ii) an oral presentation in parallel tracks, or (iii) a poster presentation session. Lightning talks will be preferentially assigned to those requesting this form of presentation at submission and to early career researchers. In order to be included in the program, at least one of the authors must register for the conference by the early-bird registration deadline.

Topics

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 solve problems relevant to society. IC2S2 hosts academics and practitioners in computational science, complexity, network science, and social science, and provides a platform for new research in the field of computational social science. We welcome submissions on any topic in the field of computational social science, including (a) work that advances methods and approaches for computational social science, (b) data-driven work that describes and discovers social and cultural phenomena or explains and estimates relations between them and other things, and (c) 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

Enquiries

For any questions regarding abstract submissions, please write to: ic2s2.2023@gmail.com