* Call for abstracts *
CS2Nordics 2026 is the first plenary meeting of the Nordic Society for Computational Social Science (NoSoCSS). It is a venue for the members of the Society to meet, present their research, and create new collaborations. Computational Social Scientists from the global community are very welcome to attend and share their work. The conference welcomes work at the intersection of computational methods and the social and behavioral sciences, spanning economics, sociology, political science, psychology, cognitive science, and computer science.

*** Location: Copenhagen, Denmark

*** Submission website: https://nosocss.org/conference.html

* Important dates *
Abstract submission deadline: June 19, 2026 (23:59 AoE)
Notification of acceptance: July 3, 2026
Early-bird registration deadline: August 15, 2026
Conference days: September 21-22, 2026

* Submission instructions *
CS2Nordics accepts extended abstracts of up to 2 pages, including one single display item (figure, table) and excluding references. Submissions must be formatted in PDF format, according to the official LaTeX or Word templates that can be downloaded from the conference website.
Submissions will be non-archival. We welcome original and unpublished work as well as work already published or under review. All submissions undergo single-blind peer review by the Program Committee. The conference does not produce archival proceedings. Accepted work will be presented either as 1) plenary oral presentations (approximately 12-15 minutes) or 2) poster presentations (during dedicated sessions). 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. Conference attendees are limited to a maximum of 2 presentations each.

* Research Topics *
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 (CSS), including but not limited to:
- Analysis of registry and population-scale data
- Causal inference and machine learning for social analysis
- Computational analysis of multimedia content
- Cultural pattern mapping
- Ethics, inclusivity, and algorithmic accountability
- Human-computer interaction studies
- Large language models and NLP for social research
- Network analysis and mining
- Controlled experiments
- Novel data and computational approaches to CSS
- Reproducibility of computational studies
- Science of science
- Simulations and agent-based models
- Studies and applications of geospatial data
- Studies of impact of AI on society
- Theoretical frameworks for CSS