Research jams, intercontinental collaborations, and lightning talks — the Postdocs in Complexity Conference is back!
Working group meets to formalize a better understanding of human cell types.
SFI External Professor Simon DeDeo and co-authors are recipients of the 2018 Cozzarelli Prize, awarded by the Proceedings of the National Academy of Sciences, for their paper “Individuals, institutions, and innovation in the debates of the French Revolution.”
The new book Pertussis: Epidemiology, Immunology, and Evolution, edited by former SFI Omidyar Fellow Samuel Scarpino and Pejman Rohani, is the first major aggregation of interdisciplinary whooping-cough research in decades.
New SFI research explores the unintended consequences of removing aboriginal people from their lands, with big implications for a more sustainable future.
The Santa Fe Institute again has ranked among the world's top science and technology and transdisciplinary think tanks.
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.
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.
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.