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Short Background
W. Brian Arthur is an External
Faculty Member at the Santa Fe Institute, IBM Faculty Fellow, and
Visiting Researcher in the Intelligent Systems Lab at PARC (formerly
Xerox Parc). From 1983 to 1996 he was Morrison Professor of Economics
and Population Studies at Stanford University. He holds a Ph.D.
from Berkeley in Operations Research, and has other degrees in economics,
engineering and mathematics.
Arthur pioneered the
modern study of positive feedbacks or increasing returns in the
economy--in particular their role in magnifying small, random events
in the economy. This work has gone on to become the basis of our
understanding of the high-tech economy. He has recently published
a new book: The Nature of Technology: What it
Is and How it Evolves, "an elegant and powerful theory
of technology's origins and evolution."He is also one of the
pioneers of the science of complexity.
Arthur was
the first director of the Economics Program at the Santa Fe Institute
in New Mexico, and has served on SFI's Science Board and Board of
Trustees. He is the recipient of the Schumpeter Prize in economics,
the Lagrange Prize in complexity science, and two honorary doctorates.
Arthur is a frequent keynote
speaker on such topics as: How exactly does innovation work and
how can it be fostered? What is happening in the economy, and how
should we rethink economics? How is the digital revolution playing
out in the economy? How will US and European national competitiveness
fare, given the rise of China and India?
Last Modified: August
7, 2009 |