SFI has hosted an annual Complexity-GAINs school — two-week-long programs organized around a theme for Ph.D. students — in ...

This paper provides a logical framework for complexity economics. Complexity economics builds from the proposition that the economy is not necessarily in equilibrium: economic agents (firms, consumers ...

The Santa Fe Institute is leading the world in complexity science, with a mixed group of physicists, biologists, economists, political scientists, computer experts, and mathematicians working together ...

Swarm is a multi-agent software platform for the simulation of complex adaptive systems. In the Swarm system the basic unit of simulation is the “swarm,” a collection of agents executing a schedule of ...

Complex Systems Summer School (CSSS) offers an intensive four-week introduction to complex behavior in mathematical, physical, living, and social systems. CSSS brings together graduate students, ...

For nearly a century, scientists from a diverse set of fields have been captured by questions about the origins of life. How did life, in all of its complexity, arise from comparatively simple matter?

The SFI Undergraduate Complexity Research (UCR) program is a 10-week residential experience in complexity science research. Students can select from a menu of projects, or develop a project in ...

A historical archive of SFI's in-house preprint series, retired in 2017.

We are living in an age obsessed with intelligent systems. All walks of life are being transformed by machine learning, by software platforms that amplify human ability to manipulate mathematics and ...

The Complex World, originally published in Volume 1 of Foundational Papers in Complexity Science, presents an entirely new framing of nature, of the human role in the natural and technological worlds, ...

The Office of Applied Complexity helps the broader world access actionable insights from SFI’s scientific work. Examples of complexity science’s application to real-world problems can be found here.

Recent work has demonstrated that many social networks, and indeed many networks of other types also, have broad distributions of vertex degree. Here we show that this has a substantial impact on the ...