Drawing on the richness of data and questions that arose out of agent-based simulations of the Artificial Anasazi Project that originated at SFI in the mid 1990s, SFI External Professor George Gumerman and Alan Swedlund (UMass Amherst) have taken their simulation one step further in a revised model they call the Artificial Long House Valley model.
This week's working group at SFI brings together ecologists and computer scientists to develop techniques for analyzing an explosion of food web data.
SFI's Luis Bettencourt contributed to a newly-released report that could inform policies to promote innovation in urban centers.
Young male bluebirds may gain an evolutionary advantage by delaying breeding and helping out their parents' nests instead, according to new research led by SFI's Caitlin Stern.
SFI's Aaron Clauset and Daniel Larremore explore the complex contributors to the gender imbalance that persists in university computer science departments.
During an SFI Community Lecture January 19 in Santa Fe, Dr. Karissa Sanbonmatsu explored the new science of epigenetics and how it might help us understand autism, addiction, and even love.
By measuring how closely words’ meanings are related within and between languages, a research team has revealed that for many universal concepts, the world’s languages feature a common structure of semantic relatedness.
Our historic vulnerability to climate change can inform the way we manage climate-induced disasters, according to newly-published research conceived in a series of SFI working groups.
A team from the Santa Fe Institute, Arizona State University, and Slum Dwellers International has been selected to find new ways to help the world's poorest, most vulnerable communities.
Blumsack and Hines study the interconnected social and physical variables that influence whether people get electric energy services when and where they need them.