New Book: The Ethical Algorithm

In The Ethical Algorithm: The Science of Socially Aware Algorithm Design, SFI External Professor Michael Kearns and his University of Pennsylvania colleague Aaron Roth offer a set of principled solutions based on the emerging science of socially aware algorithm design.

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Summer in the rearview-2019 SFI summer schools

SFI’s “social reactor” kicked into overdrive this summer, welcoming 163 undergraduates, graduate students, and professionals. Intensive summer programs form the core of the Institute’s educational programming, bringing future complexity scholars to Santa Fe to train with leading scientists. This year, the Graduate Workshop in Computational Social Science and Complexity (GWCSS) celebrated its 25th anniversary with programming for alumni as well as a new cohort of advanced graduate students.

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Can the patriarchy be matrilineal? An anthropologist calls for clarity

For over a century, anthropologists have attempted to describe human societies as “matrilineal” or “patrilineal” — emphasizing relatedness among women or men, respectively. A new paper by Laura Fortunato, an anthropologist at the University of Oxford and External Professor at the Santa Fe Institute, argues that it is time to confront the ambiguity at the heart of these terms.  

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Enroll now for Introduction to Dynamical Systems and Chaos

SFI's free online course, Introduction to Dynamical Systems and Chaos with College of the Atlantic professor David Feldman, begins Oct. 1. Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.

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SFI celebrates Thirty Years of Complex Systems Thinking

On August 21-22, SFI celebrates Stuart Kauffman’s contributions to complex systems science in the workshop “Thirty Years of Complex Systems Thinking.” The two-day workshop covers new research linked to Kauffman’s adventurous career.

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It’s not you, it’s the network

A new paper exploring social perception biases finds that the greatest perception biases emerge when majority and minority groups are disproportionate in size, and when nodes of the same group are highly connected to each other.

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