J. Doyne Farmer
University of Oxford & CSH External Faculty
J. Doyne Farmer is Director of the Complexity Economics program at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford, and an External Professor at the Santa Fe Institute.
Doyne’s current research is in economics, including agent-based modeling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to the United Bank of Switzerland in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology.
During the eighties he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 70’s Doyne build the first wearable digital computer, which was successfully used to predict the game of roulette.
M. Pangallo, A. Aleta, et al.
The unequal effects of the health-economy tradeoff during the COVID-19 pandemic
Nature Human Behaviour (2023) DOI: 10.1038/s41562-023-01747-x
A. Pichler, M. Pangallo, M. del Rio-Chanona, F. Lafond, D. Farmer
Forecasting the propagation of pandemic shocks with a dynamic input-output model
Journal of Economic Dynamics and Control (2022) 104527
R. M. del Rio-Chanona, et al.
Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective
Oxford Review of Economic Policy (2020) graa033