AMETHYST
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AMETHYST: gAME THeorY in complex SysTems

October 2022, Palma de Mallorca

About

AMETHYST is a CCS2022 satellite meeting. After a successful first edition during CCS 2021 in Lyon, it is back again.

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 2022, 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/T1JgZkiVU9oJNEgy5

Important dates

  • 13/06/2022: Contributed submissions start (through EasyChair).
  • 18/07/2022: Contributed submissions deadline.
  • 20/07/2022: Notifications of acceptance.
  • 25/07/2022: Early-bird CCS2022 registration deadline.
  • 19/10/2022: AMETHYST satellite.
  • 17-21/10/2022: CCS 2022 (main event).

Organizers

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Alberto Antonioni
Alberto is a mathematician working on evolutionary game theory and experimental economics. He is now an assistant 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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.Franziska Peter
Franziska combines Citizen Science and network theory in her current postdoc in the project CoAct for Mental Health. She is doctor of physics specialized in nonlinear dynamics, chaos, and statistical physics.
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Pablo Lozano
Pablo studies machine learning in complex networks, explainable AI and cooperation in complex systems. During his PhD, he worked on cooperation within hierarchical systems mixing both agent-based models and behavioral experiments. He is now a postdoc at Central European University, Vienna.
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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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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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Theodor Cimpeanu
Theodor is interested in cost-effective interventions, complex networks and AI safety, approached through the prism of evolutionary game theory and complex systems. He is currently a postdoc at Teesside University.
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This Satellite is kindly sponsored by:
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Any questions?
amethystsatellite@gmail.com
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