Daniels studies the logic of collective behavior in living systems, using real-world data to build predictive models at the scale of individual interactions, and abstracting away from these toward general principles.

With a strong background in complex adaptive systems, Garland's research blends mathematics, computer science, and social science to explore the relationship between our personal narratives and the information environment.

Postdoctoral Research Scholar in AI & Society at the School for the Future of Innovation in Society.