Kamiel Gülpen

Hi, I'm Kamiel — a PhD student in Computational Science trying to understand how groups of people tip from one state to another. I study the mechanisms behind these so called social tipping points and how we can model these critical transitions to inform better policy decisions.

My research sits at the intersection of complex systems, network science, and social dynamics. I'm working at RIVM (National Institute for Public Health and the Environment) at the department of behaviour & health and the University of Amsterdam's Computational science lab.

I'm particularly interested in the how something as complex as human behaviour can be modelled with simple equations when looking at the group dynamics. I'm particularly interested in how complex human behavior can be modeled using simple equations when examining group dynamics. I'm also fascinated by the feedback loops between individual behavior, social influence, and collective outcomes, and how these shape societies. Ultimately, I want to explore how we can design interventions that help societies navigate toward positive tipping points.