CS2Italy2026
The Italian Conference
On Computational Social Science

Computational Social Science Theory

Theoretical work that generates new insights, connections, and frameworks for computational social science research

• Theoretical discussions/concepts in computational social science
• Science and technology studies approach to computational science work
• Practical problems in computational social science
• Issues of inclusivity in computational social science
• Ethics of computational research on human behavior

Data-Driven Social Science

Data-driven work that describes and discovers social and cultural phenomena or explains and estimates relations between them and the larger society.

• Network analysis of social systems
• Methods and issues of social data collection
• Large-scale social experiments and 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
• Social news curation and collaborative filtering
• Computational social science research in industry, government, and philanthropy

Method Exploration

Work that advances methods and approaches for computational social science.

• Methods and analyses of integrated human-machine decision-making
• Methods and analyses of biased, selective, or incomplete observational social data
• Methods and analyses for social information / digital communication dynamics
• 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
• Reproducibility in computational social science research
• Infrastructure to facilitate industry/academic cooperation in computational social science
• Novel digital data and computational analyses for addressing societal challenges

Types of contribution

The accepted contributions will be selected for one of the following presentations:

• a lightning talk (~6 mins) in a plenary session
• an oral presentation in parallel tracks