SFI’s REU program provides an opportunity for young scientists from many disciplines to explore what a social science perspective brings to other fields and how traditionally quantitative disciplines can contribute to the social sciences. Each REU participant works with one or more SFI faculty mentors on a specific, mutually selected projects focusing on the computational properties of complex systems with particular, but not exclusive, emphasis on the social sciences.
The Santa Fe Institute is pleased to announce the 18th annual Graduate Workshop in Computational Social Science Modeling and Complexity. The workshop will bring together a group of advanced graduate students and a small faculty for an intensive two week study of computational social science modeling and complexity. The workshop will consist of lectures by faculty, special topic seminars by members of the Santa Fe Institute, and presentations of work in progress by graduate student participants. The primary goal of the summer workshop is to assist graduate students pursuing research agendas which includes a computational modeling component. A significant portion of the workshop will be devoted to analyzing and improving research being conducted by the graduate student participants.
This two-and-a-half day course is an intensive tour of the sciences of complexity, a broad set of effort that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. This course, sponsored by the Santa Fe Institute, is specifically designed for professionals, faculty, students and others who are curious to explore and apply this new transdisciplinary scientific approach. This course has no prerequisites and requires no specific math or science background.
More information about the course can be found on our
August 25 - 27, 2015 - Santa Fe Institute - Santa Fe, New Mexico
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Register now for SFI's 2015 Short Course — Exploring Complexity in Social Systems and Economics — August 25-27 in Santa Fe.
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