SFI announces two new Miller Scholars for 2019
Historian Andrea Wulf and philosopher John Kaag have been named Miller Scholars at the Santa Fe Institute for 2019.
The latest news and events at the Santa Fe Institute
Historian Andrea Wulf and philosopher John Kaag have been named Miller Scholars at the Santa Fe Institute for 2019.
New books by SFI Authors, highlighted in the Winter 2018-2019 Parallax, inclue Introduction to the Theory of Complex Systems, The Model Thinker, Shadows of Doubt, Computational Matter, Viruses as Complex Adaptive Systems, and Pertussis.
An SFI working group hopes to develop a model that can resolve some of the paradoxes of sexual selection.
A working group at the Santa Fe Institute recently convened to further ecological and evolutionary theory and craft an application for a National Science Foundation (NSF) “Rules of Life” grant.
An SFI Working Group meets to explore the big picture on viruses, from infections of single cells to epidemics among populations.
An SFI workshop explores the evolutionary consequences of developmental bias — the tendency of organisms to evolve some phenotypes more readily than others.
The Dynamic Multi-System Resilience in Human Aging working group meets in November to discuss new data on the aging process, and how to understand the physiological and psychological systems that lead to resilience in elderly people.
Shannan Distinguished Professor and Past President Geoffrey West has been awarded the 2018 Los Alamos Medal by Los Alamos National Laboratory “for his groundbreaking contributions to science.”
In a November SFI Community Lecture, External Professor Michelle Girvan described an exciting new approach to predicting chaotic systems. Watch her talk here.
A study co-authored by SFI Omidyar Fellow Jacopo Grilli sheds new light on a long-standing question about what triggers cell division.
Introduction to the Theory of Complex Systems synthesizes hundreds of disparate findings in complexity and articulates a single, underlying characteristic of complex systems.
Identifying meaningful information is a key challenge to disciplines from biology to artificial intelligence. In a new paper, SFI's Artemy Kolchinsky and David Wolpert propose a broadly applicable, fully formal definition for this kind of semantic information.
Sending instantaneous messages across long distances, or quickly computing over ungodly amounts of data are just two possibilities that arise if we can design computers to exploit quantum uncertainty, entanglement, and measurement. In this SFI Community Lecture, scientist Christopher Monroe describes the architecture of a quantum computer based on individual atoms, suspended and isolated with electric fields, and individually addressed with laser beams.
Frances Arnold, who served on the Santa Fe Institute’s Science Board from 1995-2000, received a Nobel Prize in Chemistry this year.
October 13-16, graduate students can meet with leading scientists to learn about modeling and evaluating the future of human populations and their environments. Free tuition for accepted students. Apply before July 11, 2018.
An SFI workshop examines the key impediments to building machines that understand meaning, and how much understanding is necessary for artificially intelligent machines to approach human-level abilities in language, perception, and reasoning.
Two October meetings at SFI aim to dig into some of the trickiest questions about life, both here on Earth, and how we might recognize it elsewhere in the universe.
The autumn Applied Complexity Network meeting “Risk: Retrospective Lessons and Prospective Strategies,” explores what we have learned since the financial crisis of 2008.
SFI Director of Education Paul Hooper shares highlights of the 2018 summer Research Experiences for Undergraduates (REU) program, Complex Systems Summer School, and the first-ever Alumni Fiesta.
In a two-part lecture series September 24 and 25, SFI Professor Cristopher Moore looked at two sides of computation — the mathematical structures that make problems easy or hard, and the growing debate about fairness in algorithmic predictions. The videos are now available.