Daniel Hoyer is a computational historian and complexity scientist, Founder & Director of SoDy (Societal Dynamics), the ‘historical policy lab’. His research seeks to understand societal responses to shifting ecological, social, and economic contexts that determine well-being outcomes in the past, as well as how this may shed light on critical social pressures today. Since 2014, he has been part of Seshat: Global History Databank and currently serves as affiliated faculty with the Complexity Science Hub Vienna, research scientist with the SocialAI lab at the University of Toronto, and member of the Accelerator for Systemic Risk Assessment (ASRA) network.
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The slow forces behind this year’s fast crises
Systemic risk analysis allows us to fully comprehend the long-tail of all the crises peaking this year. But it also reveals how we can turn these exponential curves around, accelerating just as fast and as far in the opposite direction.
January 29, 2026
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
