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.
Today, three researchers introduce a new method that reveals interesting and sometime surprising structures in networks, from power grids to the internet, at the micro, macro, and in-between scales.
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.
During a working group this week at SFI, roughly a dozen ecologists and computer scientists will explore ways emerging technologies might help researchers better understand why and how individuals in migrating groups make the choices they do.
Researchers meet at SFI this week to understand how two evolutionary strategies -- migration and cooperation -- might have co-evolved, and in what situations one strategy prevails.