In our increasingly interconnected world, researchers face the challenge of understanding systems in which local interactions lead to global phenomena. Agent-Based Modeling (ABM) and Complex Networks have emerged as powerful methodologies for investigating such systems. While operating from different perspectives, both address large-scale challenges and incorporate ever increasing amounts of data, thus pushing the boundaries of computational capabilities. This makes high performance computing (HPC) a crucial area of development for both fields.
The workshop aims to bring together researchers, practitioners, and computational experts to explore decentralized dynamics and emergent phenomena, looking into their computational challenges and solutions. In particular, we want to discuss when and how advanced computational techniques, including HPC, can be leveraged to study complex interconnected systems. The first day of the workshop is dedicated to scientific exchange through invited talks, a panel discussion, and a poster session.
On the second day, we offer a hands-on course on Vahana.jl, a high-performance computing framework designed for large-scale agent-based models with a focus on social networks. The practical session will introduce Vahana.jl’s approach to creating scalable ABM simulations, demonstrating how researchers can efficiently design and run complex models without delving into the technical details of distributed computing. Course participants will gain insights into leveraging HPC capabilities for their research while maintaining focus on the core aspects of model development and analysis.
Invited speakers include Vito Latora (Queen Mary University of London) on Networks, Sarah Wise (University College London) on ABM, and Gary Polhill (The James Hutton Insitute) as well as Eduardo César/Cristina Peralta (Universitat Autònoma de Barcelona) on ABM and HPC.
We invite researchers working in the fields of complex systems, agent-based modeling, computational social science, and network science as well as data scientists and analysts dealing with large-scale networks, computer scientists working on high-performance computing solutions for complex systems and PhD students as well as postdocs looking to expand their methodological toolkit in computational modeling. Participation is free of charge, but registration is mandatory. To contribute to the poster session, please submit an abstract by November 10th via the registration platform.