The agent-based modeling approach is now used in many domains such as geography,
ecology, or economy, and more generally to study (spatially explicit) socio-environmental …

Since its emergence in China, the COVID-19 pandemic has spread rapidly around the
world. Faced with this unknown disease, public health authorities were forced to experiment …

In less than three months after its emergence in China, the Covid-19 pandemic has spread
to at least 180 countries. In the absence of previous experience with this new disease, public …

L'activité modélisation-simulation d'un système complexe est naturellement un processus
distribué où se confrontent des manières de penser, des concepts, des paradigmes, des …

When working with data such as financial transactions or user activity logs, in domains with
inherent privacy concerns, you will certainly run into problems with data protection and data …

Abstract Agent-Based Modelling has now become a relevant and recognized paradigm to
design integrated models of complex systems such as socio-environmental systems. The …

Agent-Based Modelling has now become a relevant and recognized paradigm to design
integrated models of complex systems such as socio-environmental systems. The MAELIA …

An optimal strategy for controlling the dynamics of a multi-scale complex network of
epidemiological models is investigated. We focus on the chikungunya epidemic and …

The workshop aims at providing participants a hand-on experience in using tools and
methods for a social sciences qualitative research. The training includes a complete …

This work aims to implement a model to simulate the dengue virus propagation, which is one
of the main public health problems in Brazil. In order to do it, we adopted a multi-agent …