SFI Networks Short Course 201 - Faculty 2017
From Santa Fe Institute Events Wiki
| Networks Short Course 2017 |
SFI NETWORKS & BIG DATA SHORT COURSE ON COMPLEXITY
July 26-28, 2017 - Venue TBD, New York City, New York
DIRECTOR
Short Course Director Michelle Girvan
Michelle Girvan is an Associate Professor in the Department of Physics and the Institute for Physical Science and Technology at the University of Maryland, College Park. She is also a member of the External Faculty at the Santa Fe Institute. Her research operates at the intersection of statistical physics, nonlinear dynamics, and computer science and has applications to social, biological, and technological systems. More specifically, her work focuses on complex networks and often falls within the fields of computational biology and sociophysics. While some of the research is purely theoretical, Girvan has become increasingly involved in using empirical data to inform and validate mathematical models.
FACULTY
Neo Martinez -
Michelle Girvan is an Associate Professor
Bill Rand -
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Ole Peters - Resident Fellow - London Mathematical Laboratory
My work focuses on stochastic processes that are non-ergodic. This means that long-time averages do not converge to expectation values. Such processes are of practical relevance because they form the basis of economic theory. However, their non-ergodic nature has not been fully explored.
Prior to becoming interested in the foundations of economics I worked on atmospheric convection and far-from equilibrium critical phenomena in statistical mechanics.
Extra-curricular: I’m a fan of anything to do with oceans.
[website]
Neo Martinez -
Michelle Girvan is an Associate Professor