J. Doyne Farmer is Director of Complexity Economics at the Institute for New Economic Thinking at the Oxford Martin School and is the Baillie Gifford Professor of Complex Systems Science at the University of Oxford’s Smith School of Enterprise and the Environment, as well as an External Professor at the Santa Fe Institute. His current research is in economics, including financial stability, sustainability, technological change, and economic simulation. Doyne is Chief Scientist at Macrocosm, his new Oxford spin-out company, which applies complexity economics to problems relating to climate change and the green energy transition.
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 spans complex systems, dynamical systems, time series analysis, and theoretical biology. He founded the Complex Systems Group at Los Alamos National Laboratory, and while a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.
Primary Institution: University of Oxford
Role/Title: Baillie Gifford Professor of Complex Systems Science / Director of Complexity Economics at INET Oxford / Chief Scientist at Macrocosm
Topics of Interest: Agent-based Modeling - Economics - Environment/Climate Change - Mathematics/Computer Science - Technology/Innovation
When and how you first got involved with SFI: I first became involved with SFI in 1986.