07-12, 12:00–12:30 (Europe/Amsterdam), While Loop (4.2)
How does a population of interacting individuals evolve over time?
This puzzling question has been a central focus across various disciplines, ranging from ecology to economics. In this presentation, I introduce the main approaches to model population dynamics and demonstrate how they can be easily implemented and analysed using existing Julia packages.
During the presentation, I demonstrate how DynamicalSystems.jl can be used to describe and analyse the evolution of populations through differential equations and time series analysis. Additionally, I explain how to model populations using an agent-based approach with Agents.jl, a versatile and robust framework for agent-based modelling.
Overall, I showcase how to apply tools from existing Julia packages to understand the complex dynamics emerging from populations composed of interacting individuals.
I am doctoral researcher at the Max Planck Institute for Mathematics in the Sciences and the Max Planck Institute for Evolutionary Biology in Germany.
I am currently working on topics related to Dynamical Systems, Evolutionary Game Theory and Agent-Based Modelling.
I am passionate about coding and to be part of the Julia community has been a wonderful experience!