Social systems are intrinsically complex, whether they are groups of interacting ants, humans, companies, cities, or societies. How do such systems organize themselves to produce sophisticated collective behavior? How do they adapt and learn in the face of changing circumstances? How does group cooperation emerge from social yet selfish individuals, and how can such cooperation be fostered? What causes social systems, including economies, to fail or collapse, and what makes them resilient? By approaching these and other profound questions of social science from a complexity perspective, scientists are beginning to understand and predict social behavior in wholly new ways.
This accessible two-and-a-half-day course will provide an intensive introduction to the field of complexity as it relates to social systems and economics. Via lectures, exercises, and interactive discussions with prominent SFI faculty, you will learn how methods and tools at the forefront of complexity science are being applied to modeling, predicting, and impacting the behavior of social systems across many disciplines. This course is specifically designed for professionals, faculty, students and others who are curious to explore and apply ideas from complexity in their own fields.
Complexity in Social Systems and Economics has no prerequisites and requires no specific math or science background. Examples of people who will particularly benefit from this course are managers and policy-makers in business, government, and non-profit organizations; industrial research and development staff; medical, social work, and education professionals; journalists; and university faculty and students in any area of science or social science.
More information about the course can be found on our
Melanie Mitchell, External Professor, Santa Fe Institute; Professor, Computer Science, Portland State University; author of Complexity: A Guided Tour, winner of Phi Beta Kappa Society’s 2010 Book Award in Science.
W. Brian Arthur, External Professor, Santa Fe Institute; Visiting Researcher, Intelligent Systems Lab, PARC
Rob Axtell, Professor and Department Chair, Computational Social Science Department, George Mason University
Aaron Clauset, External Faculty, Santa Fe Institute; Assistant Professor of Computer Science, University of Colorado at Boulder
Mirta Galesic, Professor, Santa Fe Institute; Cowan Chair in Human Social Dynamics, Santa Fe Institute
Scott Page, External Faculty, Santa Fe Institute; Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science and Economics, University of Michigan at Ann Arbor
Rajiv Sethi, External Professor, Santa Fe Institute; Ann Whitney Olin Professor of Economics, Barnard College
Deborah Strumsky, Assistant Professor, SFI-ASU Center for Biosocial Complexity, Arizona State University
Geoffrey West, Distinguished Professor and Past President, Santa Fe Institute
Registration for Complexity in Social Systems and Economics
Full-time Students or SFI Alumni: $600
Note: To qualify for Alumni rate to Complexity in Social Systems and Economics you must be an alumnus of one of the following SFI Programs: former SFI Research Experiences for Undergraduates (REU) Fellow, Complex Systems Summer School (CSSS) participant, Graduate Workshop in Computational Social Science (GWCSS) participant, or SFI Postdoc or Omidyar Fellow.
***Registration cancellations made before November 1, 2015 will be refunded 50% of the program tuition. Beginning November 1, 2015 and after, no refunds will be made