In this episode of The Flux, we explore how modeling trust, belief, and social sentiment can unlock deeper insights in public health. Our guest, Philippe Giabbanelli, shares how agent-based models are evolving to capture not just behaviors, but the opinions and social dynamics that drive them like vaccine hesitancy or trust in institutions. We discuss the challenges of representing complex human psychology in simulations, the importance of sentiment in shaping real-world outcomes, and how these models are being used to support decision-making in uncertain, high-stakes environments. If you’ve ever wondered how data can reflect what people think, not just what they do, this conversation offers a compelling look into the future of predictive modeling.