Our institutions change how we think and live. How we think and live, in turn, changes our institutions. We want to understand when this cycle can be virtuous, and how it can also turn vicious. The ...
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The practice of valuation by marking-to-market with current trading prices is seriously flawed. Under leverage the problem is particularly dramatic: due to the concave form of market impact, selling ...
Half a century ago, economic research took a little-noticed yet dramatic departure from the study of concepts most people might be familiar with from Econ 101. The field shifted from an almost ...
Emergence is a universal phenomenon that can be defined mathematically in a very general way. This is useful for the study of scientifically legitimate explanations of complex systems, here defined as ...
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 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, ...
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, ...
A working group held at the Santa Fe Institute May 28-30, 2013, produced a set of consensus answers to questions about Cahokia, an urban place dating to the 12th and 13th centuries and located in what ...
Evolutionary analysis has become an powerful tool for the functional annotation of genomes due to the availability of massive amounts of comparative sequence data. The assessment of coding potential ...
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 ...
Throughout scientific research, measured time series are the basis for characterizing an observed system and for predicting its future behavior. A number of new techniques (such as state-space ...