A recent working group at SFI, “Human Settlements and Networks in History,” furthered a long-term exploration of urban scaling theory as it applies to human settlements through history and across cultures.
An attacker who gains access to a general-purpose machine can exploit its broad computational abilities to accomplish nefarious ends. As more devices go online – through cloud computing, connected cars, and the internet of things, for example – security becomes an increasing threat and challenge.
Applied Complexity Network (ACtioN) in London which drew participants from business and government, followed a meeting of scientists that took place in August at SFI. Both meetings concerned factors that determine the precision and reliability with which a system’s behavior can be predicted.
When big problems arise, we insist on the power of many brains. At the same time, everyday work meetings are notoriously dull and fruitless. Can certain conditions nudge collaborative problem solving in a more reliably productive direction?
Whether it’s walking across hot coals or simply going to church on Sunday, people who participate in regular religious acts send a clear signal to others that they’re ready and willing to contribute to their communities, a new study suggests.
Most US drivers could perform their daily personal vehicle trips with an electric vehicle, according to a new model by SFI External Professor Jessika Trancik and colleagues.
A new network model shows that replacing infected front-line workers with healthy ones can actually accelerate the spread of certain infections.
Stephanie Forrest and Melanie Mitchell recount the legacy of John Holland, a complexity science pioneer who passed away in August 2015.
On the popular podcast "Waking Up with Sam Harris," SFI President David Krakauer weighs in on whether your brain is an information processor. It is, he says, because it converts disorder to order.
A unique meeting at SFI in July brought together experts from fields as diverse as physics, neuroscience, sports, and dance to ask whether there are limits to human performance.
New research by SFI Omidyar Fellow Andrew Berdahl and collaborators reveals that populations relying on group navigation, such as migrating birds and salmon, could be vulnerable to sudden collapse.
New research suggests that larger crowds do not always produce wiser decisions. Moderately-sized crowds are likely to outperform larger ones when faced with combinations of easy and difficult qualitative decisions.
In SFI's new online course, Introduction to Agent-Based Modeling, participants will explore why agent-based modeling is a powerful way to understand complex systems.
The most recent issue of New Mexico Homes features the Santa Fe Institute, where "some of the greatest minds in science" are finding patterns in complex physical, biological, and social systems.