CMAISS

Computational Modelling and Artificial Intelligence for Social Systems.

CMAISS COMPUTATIONAL MODELLING & ARTIFICIAL INTELLIGENCE FOR SOCIAL SYSTEMS @ ICCS

The Computational Modelling and Artificial Intelligence for Social Systems (CMAISS) workshop aims to bring together researchers and practitioners working on the development and application of computational methods for studying various social systems, such as cities, traffic, cooperation, collective decision-making, opinion dynamics, and social contagion. These systems are typically stochastic, complex, and often out of equilibrium, requiring innovative methodologies and interdisciplinary perspectives to study.

Computational modeling techniques such as agent-based modeling and complex network modeling have proven to be exceptionally powerful for this task, but also face challenges such as validation. Meanwhile, the advances in Artificial Intelligence have attracted growing attention from scholars seeking either to employ AI techniques to study social systems, or to study the social systems in the era of AI. CMAISS seeks to explore opportunities for methodological innovation in computational modeling, AI, and their integration, by fostering interdisciplinary discussions among scientists of network science, game theory, agent-based modeling, machine learning, and large language models.

Topics of Interest

We welcome papers on, but not limited to, the following topics:

  • Integration of AI in social system modeling
  • Social systems in the era of AI
  • Social simulation, multi-agent simulation or agent-based modeling applied to social systems
  • Using machine learning and large language models in social simulation methods
  • Complex network modeling and analysis
  • Modeling evolution of cooperation in social systems
  • Modeling opinion dynamics and misinformation
  • Modeling collective decision making, aggregation and deliberation

CMAISS 2027 (Kraków)

The 3rd CMAISS workshop will be held in conjunction with ICCS 2027 in Kraków, Poland, from 12–14 July 2027. Further details will be announced.

Chairs

  • Tanzhe Tang (University of Amsterdam)
  • Jaeyoung Kwak (Nanyang Technological University)
  • Alex Cucco (G. d’Annunzio University Chieti-Pescara)
  • Luiz do Valle Miranda (Jagiellonian University)

CMAISS 2026 (Hamburg)

The 2nd CMAISS workshop was held in conjunction with ICCS 2026 in Hamburg. Compared with the inaugural edition, it received 25% more submissions and featured twice as many presenters, despite stricter acceptance standards.

Chairs

  • Tanzhe Tang (University of Amsterdam)
  • Jaeyoung Kwak (Nanyang Technological University)

Presented Works

  • Mamadou Alpha Hawa Balde, Jassim Bensafir, Sarah Ben Othman, Salah Zidi and Slim Hammadi A Per-Cluster Multi-Scale Topic Modeling Framework with Unstructured and Heterogeneous Text Corpora (abstract)

  • Luiz Do Valle Miranda, Karol Dobiczek and Grzegorz J. Nalepa CHExNet: A 400-years Multilayer Network of Early Modern Collaboration at the Jagiellonian University (abstract)

  • Rafał Niedziółka-Domański A Case for Decentralized Model-Based Multi-Agent Reinforcement Learning (abstract)

  • Soveatin Kuntur, Maciej Krzywda, Anna Wróblewska, Marcin Paprzycki, Maria Ganzha, Szymon Łukasik and Amir. H. Gandomi Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs (abstract) (student competition)

  • Alex Cucco, Lara Fontanella, Pasquale Valentini and Sara Fontanella Modeling Multi-Rater Behavior with Bayesian Nonparametric MIRT: Inferring Latent Traits and Group Structure (abstract)

  • Laura Harbach, Diana Suleimenova, Yani Xue, Yehor Yudin, Derek Groen, Giorgia Tornieri, Ivan Cardona Landinez, Susanne Klink and Konstantin Fastovets Methodological Evolution and Knowledge Management in a Displacement Modelling Project: From Research Prototype to UNHCR Policy Tool (abstract)

  • Ivana Malcic, Debraj Roy and Luka Waronig Emergent Spatial Traps in the Coevolutionary Commons: Human-Al Cooperation under Environmental Feedback (abstract)

  • Victoria Peterson, Shania Sinha, Karolina Chłopicka, Henry Zwart and Debraj Roy Individual Decision-Making in Coupled Agent-Environment Systems (abstract)

CMAISS 2025 (Singapore)

The inaugural CMAISS workshop was successfully organized alongside ICCS 2025 in Singapore.

Chairs

  • Tanzhe Tang (University of Amsterdam)
  • Jaeyoung Kwak (Nanyang Technological University)
  • Thomas Feliciani (Polytechnic University of Milan)

Presented Works

  • Victoria Garibay Accelerated Approximation of Bellman Equation Solutions for Agent Policy Optimization with a Feedforward Neural Network (abstract)

  • Eric Dignum, Harshita Choudhary and Mike Lees Simulation-based inference in agent-based models using spatio-temporal summary statistics (abstract)

  • Piotr Kosela Emergent Communication in Merging Artificial Agent Populations (abstract)

  • Isaak Mengesha and Debraj Roy Evolutionary game selection leads to emergent Inequality (abstract)