HPC Serbia, in collaboration with the CTRUST project, organized a two-day hybrid workshop titled CTRUST Workshop Trust: Foundation, Measurement, and Relevance on collective trust at the Institute of Physics Belgrade on 22 and 23 December 2025. The event brought together researchers from physics, computer science, social sciences, psychology, and artificial intelligence to discuss interdisciplinary approaches to studying collective trust in online and social systems.
The workshop focused on understanding how trust emerges, evolves, and can be measured in complex social environments, particularly in digital and online communities. A central theme was the integration of computational modeling, natural language processing, network science, and agent-based simulations with empirical social data.
Presentations covered a broad range of topics, including language technologies and text embeddings for the Serbian language, AI-driven narrative and misinformation analysis, large-scale social simulations, and the use of synthetic agents and large language models to study social behavior. Several talks introduced new datasets, modeling frameworks, and validation methodologies for analyzing trust dynamics at scale.
In addition, the workshop addressed psychological and behavioral aspects of online interaction, such as the role of personality traits, emotions, and nonverbal communication, as well as advanced mathematical and network-theoretic approaches to modeling collective cognition and higher-order social structures.
Overall, the workshop highlighted the importance of interdisciplinary collaboration and high-performance computing–enabled methods in advancing the scientific understanding of trust as a complex social phenomenon. It also fostered exchange between theoretical, methodological, and applied perspectives, strengthening the research community around the CTRUST project.
You can find the photo gallery in this post: CTRUST Workshop Trust.
Detailed agenda page is available here.
About the CTRUST project
CTRUST seeks to understand how collective trust develops and dissipates within social groups. The goal is to identify properties of social networks that foster or hinder the emergence, maintenance, and decay of trust. Based on this, recommendations are made for group leaders, managers, and industry to effectively manage social groups through an online platform that translates scientific findings into practical guidelines.
