Working group meets to formalize a better understanding of human cell types.
Since the 1970s, community ecologists have relied on two theories to explain the role that species interactions play in Earth's astonishing biological diversity. An SFI working group takes steps to integrate those two theories.
When only two things interact, the outcome is usually easily to predict. But what happens when you add a third — or fourth, or fifth, or more — component to the mix? The effects of such higher-order interactions can be difficult to forecast, and are the subject of a working group that meets this week at SFI.
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.
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.
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.
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.
The autumn Applied Complexity Network meeting “Risk: Retrospective Lessons and Prospective Strategies,” explores what we have learned since the financial crisis of 2008.