From Neural Networks to Synthetic Populations: Hamdi Kavak’s Journey

What if we could predict the impact of a pandemic, a policy change, or even a war before it happens? Hamdi Kavak joins The Flux to discuss how agent-based modeling enables researchers to explore "what if" scenarios and simulate real-world behaviors at both small and massive scales. We dive into the applications of ABM in government-funded projects, the difficulties of modeling millions of agents, and how better communication of simulation insights could improve public trust in data-driven decision-making. If you're curious about the future of modeling and simulation, you won’t want to miss this conversation.