Sahana Subramanyam was a participant in SFI's 2018 summer Research Experience for Undergraduates — now called the Undergraduate Complexity Research program. In this essay, she reflects on how the ...

Convening a global cohort of curious, driven, generous, and brilliant people from across a vast range of expertise and career stages sets the possibility space for SFI’s Complex Systems Summer School, ...

Scott Page Professor of Complexity at the University of Michigan; Science Board Member + External Professor at SFI ...

This working group brings together scholars from diverse fields—neuroscience, psychology, philosophy, and AI—who are all investigating the broad notion of “intelligence”, whether in biological systems ...

Processual archaeologists began employing some of the vocabulary now current in complexity studies in the 1960s and 1970s, inspired by cybernetics, general systems theory, and contemporary ...

We ask all applicants to read all of the UCR info pages carefully before applying or emailing us with questions. Thank you. SFI’s UCR program is designed for curious, motivated students who can work ...

It has become increasingly vital for students across the sciences to gain computational and mathematical skills: the ability to translate real-world systems into quantitative models, carry out ...

The program is held in Santa Fe, New Mexico, USA. During the work week UCR studetns conduct their research at the Santa Fe Institute's (SFI) Cowan Campus. Students live at the Institute of American ...

Clinical data (on patients from elephant seals to people) make clear the extraordinary and contradictory powers of the mammalian immune system: a vital line of defense, yet a source of grave danger.

Artificial-intelligence systems have made remarkable progress in recent years, but they still struggle with the kind of flexible, relational reasoning that comes naturally to humans. Program ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...

Across biology — from microbial communities to cancer tumors to ancient human populations — researchers measure diversity in ways that shape how we understand life. But those measurements are often ...