Workshop on Interdisciplinary Complex Systems  

Complex systems science offers a common language for understanding how collective behavior emerges from many interacting components. Across highly diverse domains, from turbulent fluids and neuronal circuits to ecosystems, social media platforms, biological networks, and human collective behavior, similar questions arise: how do interactions shape global patterns, how does structure constrain dynamics, and how can data, theory, and computation reveal hidden organizing principles?

This workshop brings together researchers working at the interface of physics, mathematics, neuroscience, biology, data science, and computational social science. The program highlights the broad scope of modern complex systems research, including nonlinear dynamics, chaos and turbulence, complex networks, brain connectivity, neuronal cultures, systems biology, reaction-diffusion processes, evolutionary game theory, sociophysics, natural language processing, and the analysis of online social systems.

A central goal of the workshop is to foster dialogue across fields that often study different systems while sharing related conceptual and methodological tools. Network theory, statistical physics, dynamical systems, machine learning, and data-driven modeling now make it possible to compare phenomena across scales: from molecules and neurons to organisms, societies, and digital communities. By bringing these perspectives together, the workshop aims to explore how interdisciplinary approaches can deepen our understanding of emergence, adaptation, information processing, resilience, and collective dynamics in complex systems.

• July 17: 

  • • 1st Communication

• Until August 31: 

  • • Poster Submission

• September 1: 

  • • 2nd Communication

• Until September 28:

  • • Workshop Registration

• Octobre 5-6:

  • • Workshop on Interdisciplinary Complex Systems