The Santa Fe Institute (SFI) is an independent, nonprofit theoretical research institute located in Santa Fe (New Mexico, United States) and dedicated to the multidisciplinary study of the fundamental principles of complex adaptive systems, including physical, computational, biological, and social systems. The Institute houses a small number of resident faculty, who collaborate with many affiliated and visiting scholars. Although theoretical scientific research is the Institute's primary focus, it hosts a number of complex systems summer schools, internships, and other educational programs throughout the year. The Institute's annual funding is derived primarily from private donors, grant-making foundations, government science agencies, and companies affiliated with its Business Network. The Santa Fe Institute was founded in 1984 by scientists George Cowan, David Pines, Stirling Colgate, Murray Gell-Mann, Nick Metropolis, Herb Anderson, Peter A. Carruthers, and Richard Slansky.

Website
http://www.santafe.edu
Wikipedia
http://en.wikipedia.org/wiki/Santa_Fe_Institute

Some content from Wikipedia, licensed under CC BY-SA

Subscribe to rss feed

Perception biases in social networks

The result of the 2016 US presidential election was, for many, a surprise lesson in social perception bias—peoples' tendency to assume that others think as we do, and to underestimate the size and influence of a minority ...

A new normal: Study explains universal pattern in fossil record

Throughout life's history on earth, biological diversity has gone through ebbs and flows—periods of rapid evolution and of dramatic extinctions. We know this, at least in part, through the fossil record of marine invertebrates ...

New framework embraces uncertainty to make sense of history

There are many things we don't know about how history unfolds. The process might be impersonal, even inevitable, as some social scientists have suggested; human societies might be doomed to decline. Or, individual actions ...

How to track important changes in a dynamic network

Networks can represent changing systems, like the spread of an epidemic or the growth of groups in a population of people. But the structure of these networks can change, too, as links appear or vanish over time. To better ...

page 1 from 26