Scott E. Page | |
|---|---|
| Nationality | American |
| Alma mater | University of Wisconsin–Madison, University of Michigan, Kellogg School of Management |
| Scientific career | |
| Fields | management, complexity, economics, political science |
| Institutions | University of Michigan |
| Thesis | (1993) |
| Doctoral advisor | Roger Myerson Stanley Reiter |
Scott E. Page is an American social scientist and John Seely Brown Distinguished University Professor of Complexity, Social Science, and Management at the University of Michigan, Ann Arbor, where he has been working since 2000. He has also been director of the Center for the Study of Complex Systems[1] at the University of Michigan (2009–2014) and an external faculty member at the Santa Fe Institute (2000–2005 and 2007–present).
Page is known for his research on and modeling of diversity and complexity in the social sciences. His specific research interests include path dependence, culture, collective wisdom, adaptation, and computational models of social life. In addition to teaching at Michigan, Page also instructs the Teaching Company educational video series "Understanding Complexity" [2] and the online "Model Thinking" course created by Coursera.[3]
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