About this speaker
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 modelling. 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.
