The latest news and events at the Santa Fe Institute
Why it is that only some crimes supercharge from city size is explained in a new paper published this week in Physical Review E. According to Complexity Postdoctoral Fellow Vicky Chuqiao Yang and her coauthors, the same underlying mechanism that boosts urban innovation and startup businesses can also explain why certain types of crimes thrive in a larger population.
In a Topical Meeting for Applied Complexity Network (ACTioN) members, SFI delves into the complexity of commerce, September 12.
For three days this fall, biologists, physicists, neuroscientists, and computer scientists gather for an SFI workshop to investigate the links between computational theory and biological systems.
Infectious disease outbreaks often emerge when and where we are least equipped to detect and control them. In a series of two lectures, SFI External Professor Lauren Ancel Meyers discusses how network-based mathematical models data accelerate the detection and containment of outbreaks.
Reckless Ideas will feature high on the agenda of the sixth Postdocs in Complexity Conference, the latest in a twice-yearly series held at SFI and generously funded by the James S. McDonnell Foundation (JSMF). The conference, to take place Aug. 27-30, brings together early-career complexity postdoctoral fellows in a wide range of disciplines from institutions around the world.
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.
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.
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.
Enrollment is now open for SFI’s flagship online course, Introduction to Complexity. The course will begin on October 1.
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.
Tuesday, August 27, evolutionary biologist and journalist Olivia P. Judson discussed the patterns of life throughout Earth's history.
A new Entropy paper analyzes games with players who were subject to error, or who were “boundedly rational.”
Fasten your seatbelts and prepare for takeoff: InterPlanetary Transmissions: Genesis has hit the shelves.
Aug. 5-7, SFI hosts its second working group on cumulative cultural evolution, led by Vanessa Ferdinand, Rob Boyd, and Bill Thompson.
A new paper in Animal Behaviour lays out three concepts from complex systems science that could advance studies into animal social complexity.
Today’s quantum computers sustain temperatures approaching absolute zero and are designed to solve problems that would require millions of years for even the world’s best supercomputers. However, the rate of hardware development is seemingly outpacing the growth of algorithms that can leverage the phenomena of quantum mechanics. A July 30 through Aug. 2 working group aims to address this shortage of algorithms.
An incoming editorial team for a flagship political science journal aims to confront race and gender. They met at the Santa Fe Institute July 17-19, 2019 for a brainstorming retreat.
Laboratory populations that quietly amass 'cryptic' genetic variants are capable of surprising evolutionary leaps, according to a paper in the July 26 issue of Science. A better understanding of cryptic variation may improve directed evolution techniques for developing new biomolecules for medical and other applications.
Most game theory models don’t reflect the relentlessly random timing of the real world. In a new paper, Justin Grana, James Bono, and SFI Professor David Wolpert model what happens when players receive information or act at random times, which could make a big difference in decision-making.