J. Doyne Farmer | |
|---|---|
 | |
| Born | 22 June 1952 (age 72) |
| Nationality | American |
| Alma mater | Stanford University University of California, Santa Cruz |
| Scientific career | |
| Fields | Physics Finance |
| Institutions | Oxford University Santa Fe Institute Los Alamos National Laboratory |
J. Doyne Farmer (born 22 June 1952) is an American complex systems scientist and entrepreneur with interests in chaos theory, complexity and econophysics. He is Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment, Oxford University, where he is also director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School. Additionally he is an external professor at the Santa Fe Institute. His current research is on complexity economics, focusing on systemic risk in financial markets and technological progress. During his career he has made important contributions to complex systems, chaos, artificial life, theoretical biology, time series forecasting and econophysics. He co-founded Prediction Company, one of the first companies to do fully automated quantitative trading. While a graduate student he led a group that called itself Eudaemonic Enterprises and built the first wearable digital computer, which was used to beat the game of roulette. He is a founder and the Chief Scientist of Macrocosm Inc, a company devoted to scaling up complexity economics methods and reducing them to practice.
Farmer's book, Making Sense of Chaos: A Better Economics for a Better World was published by Allen Lane in April 2024.[1]
- ^ Making Sense of Chaos. 25 April 2024.