The Santa Fe Institute again has ranked among the world's top science and technology and transdisciplinary think tanks.
A working group meeting February 4-6 begins to develop a generalizable theory about the role of information in group conflict.
A working group meets to identify the mechanims that drive different species to make different social choices — band together or go it solo — during times of food shortage.
The AIP journal Chaos has announced that “Anatomy of leadership in collective behavior,” co-authored by SFI Omidyar Fellow Joshua Garland, former Omidyar Fellow Andrew Berdahl, and their collaborators, is among the most-downloaded papers of 2018.
Jennifer Dunne, Stefani Crabtree, and colleagues present their ArcheoEcology work in two back-to-back symposia, “How Human Interactions with Biodiversity Shape Socio-Ecological Dynamics in Deep Time” on Sunday, Feb. 17 at 1:30 and 3:30 pm at the American Association for the Advancement of Science meeting in Washington, D.C.
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.
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.