J Doyne Farmer 8 28 24

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 of Complex Systems Science at the Smith School for Enterprise and the Environment, University of Oxford, External Professor at the Santa Fe Institute, and Chief Scientist at Macrocosm.

His 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 UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology.

During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.

Mr. Farmer will be on the WNMU campus to discuss his book, Making Sense of Chaos: A Better Economics for a Better World. The world’s leading thinker on technological change, he focuses on the question of how we can make sense of the data we have today to see what the world may look like tomorrow. In his book Farmer focusses on the big global issues of sustainability, and the well being of people now and in the future.