Sarah Laborde, a 2014 SFI Complex Systems Summer School alumna, recently helped host a CSSS-inspired workshop in N’Gaoundere, Cameroon.
Agent-based modeling (ABM) has been used to study everything from economics to biology to political science to business and management. This June, programmers and non-programmers alike can learn to model by enrolling in Introduction to Agent-based Modeling, Complexity Explorer’s massive open online course (MOOC).
During a ceremony Wednesday evening, May 4, the Santa Fe Institute awarded Melanie McKinley its Prize for Outstanding Teacher, and recognized 13 Santa Fe-area high school seniors for scientific excellence.
Simon DeDeo's new tutorial introduces learners to renormalization — a method for blurring small details in order to capture meaningful features of complex systems.
Starting this week, a new online tutorial teaches quantitative approaches to understanding game-like interactions between multiple decision makers.
Starting February 13, SFI's Complexity Explorer brings back a popular, and free, Massive Open Online Course (MOOC).
An SFI working group re-frames "cyber security-as-usual."
Professor Cristopher Moore and collaborators unveil a more accurate, efficient algorithm for internet recommendations.
The Santa Fe Institute is accepting applications for its signature education program for graduate students and postdocs: the 2017 Complex Systems Summer School, June 11-July 7, 2017, in Santa Fe. Apply by February 6, 2017.
The Santa Fe Institute is accepting applications for the 2017 Graduate Workshop in Computational Social Science. Apply by February 14.
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.
Study: When a group must solve hard problems, it's best to design the team around its learning style
What is the best way for a group to collaborate on solving a difficult problem? A new study finds that the answer depends on how that particular group learns.
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.