Complexity Explorer's new tutorial captures major features of renormalization
Simon DeDeo's new tutorial introduces learners to renormalization — a method for blurring small details in order to capture meaningful features of complex systems.
The latest news and events at the Santa Fe Institute
Simon DeDeo's new tutorial introduces learners to renormalization — a method for blurring small details in order to capture meaningful features of complex systems.
The Winter 2017 issue of SFI's quarterly newsletter is available online. Download it here.
A new paper published in the journal Animal Behavior calls for further study of the "audience effect" across animal species by using methods similar to those used in human communication research.
Philosopher and biographer Ray Monk is SFI’s Miller Scholar for 2017.
Professor Cristopher Moore and collaborators unveil a more accurate, efficient algorithm for internet recommendations.
During an October 18 SFI Community Lecture in Santa Fe, mathematician Jordan Ellenberg explored how math can help us think about the seemingly uncertain matters that dominate our lives. Watch his talk here.
Class Central, a site that collects information and reviews on thousands of online courses from around the world, recently ranked SFI’s “Introduction to Complexity” online course highest among 614 other online science courses.
A team of ecologists met at SFI recently to begin synthesizing an efficient theory that aims toward a more unified understanding of ecology.
In Nautilus, SFI President David Krakauer takes a critical look at artificial intelligence in light of humanity's long tradition of using tools to augment cognition — and our more recent, perhaps darker tendency to let them do the thinking for us.
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.
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 a recent paper in the Journal of Network and Computer Applications, SFI Postdoc Justin Grana and his collaborators call on game theory to suggest a better way to stop cyber attackers.
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.