About

The fourth edition of the leading satellite on game theory at CCS, following three successful events at CCS 2021 in Lyon, France, CCS 2022 in Palma de Mallorca, Spain and CCS 2024 in Exeter, United Kingdom, will be held in Siena, Italy.

The satellite aims to gather together scholars belonging to different fields of complex systems who employ game-theoretical techniques in their research at both a theoretical and a more applied framework.

The AMETHYST satellite will attract researchers from the general audience of CCS 2025, from physicists and computer scientists to behavioral economists and social scientists interested in applying results from game theory to biology and human behavior. Game theory has applications in many disciplines, including statistical physics, computer science, biology, economics, finance, climate change negotiations, and sociology.

The intrinsic interdisciplinary framework of both complex systems and game theory allows researchers with different backgrounds and points of view to contribute to the satellite and find a broad set of tools that can be useful for solving recurrent problems that they face in their research areas. AMETHYST will focus on applications of complex systems and game theory to human behavior, focusing on empirical evidence and behavioral experiments.

If you would like to express your interest of attending to the satellite, fill this form: https://forms.gle/oJFcTRr3mgXqNEbk6

Important dates

  • 30.04.2025: Contribution submissions start
  • 21.05.2025: Contribution submissions deadline.
  • 30.05.2025: Contribution submissions deadline extended.
  • 02.06.2025: Notifications of acceptance.
  • 20.07.2025: Early-bird CCS2025 registration deadline.
  • 03.08.2025: AMETHYST satellite.
  • 01-05.09.2025: CCS 2025 (main event).

Organizers

Alberto Antonioni
Alberto is a mathematician working on evolutionary game theory and experimental economics. He is now an associate professor at Universidad Carlos III de Madrid.
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Alessandro Di Stefano
Alessandro is a  telecommunication engineer, and he is currently working as Senior Lecturer in Computer Science at Teesside University. He has been focusing on methodologies bringing together evolutionary game theory, complex networks, and machine learning. He has an interdisciplinary approach to research which incorporates engineering and computer science methodologies applied to socio-technological systems.
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Rashid Ibrahimli 
Rashid is second year PhD student at Universidad Carlos III de Madrid. His research mainly focuses on evolutionary games. He also works as machine learning engineer.
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Chiara Mocenni
Chiara is associate professor of Systems and Control at University of Sienna. Her research interest areas are Complex Systems, Cooperative Dynamics on Networks, , Evolutionary Games on Networks, Mathematical Modeling and Identification of Biological and Social Systems, Nonlinear dynamics and Bifurcations.
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Sofia Teixeira
Sofia develops measures and computational models to understand the evolution of complex systems. Currently, she is an Assistant Professor in the Department of Informatics at Faculdade de Ciências, Universidade de Lisboa.
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Sara Ghivarello
Sara is currently pursuing her Ph.D. at Carlos III University in Madrid, where her research focuses on evolutionary game theory and opinion dynamics. She holds a double MSc degree in Physics of Complex Systems from Politecnico di Torino and Sorbonne Université. Following her studies, she was a junior researcher at ISI Foundation in Torino, working on data analysis and social science.
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Diogo L. Pires
Diogo is PhD candidate and Marie Curie Research Fellow in the Department of Mathematics at University of London. He is interested in developing modelling tools for studying behaviour emergence, particularly in the context of evolutionary game theory and often incorporating realistic features of complex systems. His focus is on understanding and informing aspects of social and biological systems related to collective action, population structure, and mobility.
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The Anh Han
The Anh uses evolutionary game theory and computer simulations to study evolution of collective behaviour that arise across  disciplines, including  evolutionary biology, psychology
and artificial intelligence. Currently he is a full professor in Computer Science and lead of the centre for Digital Innovation at Teesside University.
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Any questions?
[email protected]