Daniel Hoyer is a computational historian and complexity scientist. He holds a PhD in Classics from New York University, where he studied economic and social development in the high Roman Empire. Since 2014 he has been a part of Seshat: Global History Databank, a multidisciplinary project examining long-run social dynamics by combining qualitative and empirical information about the past with advanced quantitative analysis and computational modeling. He has affiliations with the Complexity Science Hub, Vienna and the SocialAI lab at the University of Toronto, and is the founder of a new organization: SoDy, the historical policy lab. His research explores societal responses to shifting ecological, social, and economic contexts that generate crises and shape the well-being experienced by different communities, looking into examples from the past as well as how this understanding may shed light on critical social pressures today.
How the Syrian Revolution Started Over 14 Years Ago – and Why It Isn’t Really Over Yet
Many argue that we are experiencing a global polycrisis right now, which not only makes revolutions more likely to arise as these stresses grow, but also more likely to spread to other regions when they do occur.
January 13, 2025
History’s crisis detectives: How we’re using maths and data to reveal why societies collapse – and clues about the future
Learning from history means that we have the ability to do something different. We can relieve the pressures that are creating violence and making society more fragile.
March 5, 2024