Title: Professor
Short Description: J. Doyne Farmer is a professor at the Santa Fe Institute. His main interests are complex systems, with applications to financial markets and techological innovation.
Institution: Santa Fe Institute
Special Academic Interests: complexity, chaos theory, statistical mechanics
Dept Homepage: link
Is this Member on the AGENDA team?: No
Joined: July 6th, 2011
J Doyne Farmer wrote a new blog post titled New: Getting at Systemic Risk Via an Agent-Based Model of the Housing Market
J Doyne Farmer wrote a new blog post titled New: Leverage Causes Fat Tails and Clustered Volatility
J Doyne Farmer wrote a new blog post titled New: Heterogeneity, Correlations and Financial Contagion
About me:
J. Doyne Farmer is a professor at the Santa Fe Institute. He has broad interests in complex systems, and has done research in dynamical systems theory, time series analysis and theoretical biology. At present his main interest is in developing quantitative theories for social evolution, in particular for financial markets (which provide an accurate record of decision making in a complex environment) and the evolution of technologies (whose performance through time provides a quantitative record of one component of progress).
He was a founder of Prediction Company, a quantitative trading firm that was sold to the United Bank of Switzerland, and was their chief scientist from 1991 - 1999. During the eighties he worked at Los Alamos National Laboratory, where he was an Oppenheimer Fellow, founding the Complex Systems Group in the theoretical division. He began his career as part of the U.C. Santa Cruz Dynamical Systems Collective, a group of physics graduate students who did early research in what later came to be called "chaos theory". In his spare time during graduate school he led a group that designed and built the first wearable digital computers (which were used to beat the game of roulette). For popular press see The Newtonian Casino by Thomas Bass, Chaos by Jim Gleick, Complexity by Mitch Waldrup, and The Predictors by Thomas Bass.
Blogs
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