Calls
Call for Abstracts | Italian Conference on Computational Social Science
Submissions are now open for the Computational Social Science Conference (CS2Italy), organized, among others, by professor Antonio Vetrò from DAUIN.
We welcome contributions on any topic in the field, including:
• Computational Social Science Theory – theoretical contributions, new concepts, STS approaches, ethical and inclusivity issues, and practical challenges in computational research.
• Data-Driven Social Science – analysis of social networks, data collection methods, large-scale experiments, simulations, NLP and analysis of text/images/video, cultural dynamics, recommender systems, and research in industrial or institutional contexts.
• Method Exploration – new methods for computational social science: human–machine decision-making, biased or incomplete observational data, digital communication dynamics, multimodal data integration, causal inference, neural networks for policy exploration, algorithmic accountability, socio-technical systems, and reproducibility.
Types of contribution
Accepted works will be presented as:
Abstracts must be submitted as extended abstracts (max 2 pages), written in English, in PDF format, using the official LaTeX or Word template.
Submissions must include: title, authors, affiliations, and an extended abstract describing the impact of the work, the theoretical contribution (if relevant), data/methods used, and key findings. Authors are encouraged to include figures and tables, which do not count toward the page limit.
All submissions will undergo a single-blind review. The work presented may already be published, under review elsewhere, or still in progress.
To be included in the program, at least one author must register by the early-bird deadline.
Important dates
For more information, please contact professor Antonio Vetrò or visit the official web site.
We welcome contributions on any topic in the field, including:
• Computational Social Science Theory – theoretical contributions, new concepts, STS approaches, ethical and inclusivity issues, and practical challenges in computational research.
• Data-Driven Social Science – analysis of social networks, data collection methods, large-scale experiments, simulations, NLP and analysis of text/images/video, cultural dynamics, recommender systems, and research in industrial or institutional contexts.
• Method Exploration – new methods for computational social science: human–machine decision-making, biased or incomplete observational data, digital communication dynamics, multimodal data integration, causal inference, neural networks for policy exploration, algorithmic accountability, socio-technical systems, and reproducibility.
Types of contribution
Accepted works will be presented as:
- Lightning talk (~6 minutes, plenary session)
- Oral presentation (~15 minutes, parallel sessions)
Abstracts must be submitted as extended abstracts (max 2 pages), written in English, in PDF format, using the official LaTeX or Word template.
Submissions must include: title, authors, affiliations, and an extended abstract describing the impact of the work, the theoretical contribution (if relevant), data/methods used, and key findings. Authors are encouraged to include figures and tables, which do not count toward the page limit.
All submissions will undergo a single-blind review. The work presented may already be published, under review elsewhere, or still in progress.
To be included in the program, at least one author must register by the early-bird deadline.
Important dates
- January 15, 2026 – Abstract submission
- March 1, 2026 – Notification of acceptance
- April 15, 2026 – Early-bird registration
- May 14, 2026 – Registration closes
- May 19–21, 2026 – Conference
For more information, please contact professor Antonio Vetrò or visit the official web site.