معرفی
Daniel Hoyer is a computational historian and social scientist currently serving as Senior Research Associate & Managing Director for Seshat: Global History Databank, Research Scientist with the SocialAI Research Group, and Part Time Professor at George Brown College. He holds a PhD in Classics from New York University, where his research focused on economic and social development in the high Roman Empire. His work bridges history, archaeology, and data science, aiming to uncover general patterns in long-term societal evolution.
- PhD in Classics, New York University
- Senior Research Associate & Managing Director, Seshat: Global History Databank
- Research Scientist, SocialAI Research Group
- Part Time Professor, George Brown College
His research interests center on understanding the root causes of societal development, resilience, and collapse. He specializes in applying quantitative and computational methods to historical and archaeological data to explore how societies respond to ecological, social, and economic pressures. His interdisciplinary work seeks to identify empirical regularities across cultures and time periods, particularly in the evolution of social complexity, governance, and economic systems. He is deeply engaged in the critique and advancement of comparative historical methodologies, advocating for more rigorous, data-driven approaches in ancient historical research.
The 15 most recent articles reflect a strong trend toward big data, global comparison, and computational modeling in historical analysis. They span topics such as cultural evolution, climate-society interactions, military technology diffusion, and the economic structures of ancient civilizations. A unifying theme is the use of systematic, cross-cultural datasets—especially from the Seshat Databank—to test macro-historical hypotheses about societal development and collapse.
Daniel Hoyer has co-authored publications in top-tier journals including PNAS, Science Advances, and Nature: Scientific Reports, and co-edited influential volumes such as Seshat History of the Axial Age. While no specific awards are mentioned, his work has been widely featured in media outlets like Nature, The Guardian, and New Scientist, and in podcasts including History Hits. He has advised and collaborated on numerous research projects but no formal students are listed. He is actively involved in major research initiatives such as the Seshat Databank and the SocialAI Research Group, which integrate AI, complexity science, and historical scholarship.
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