A working group meeting February 4-6 begins to develop a generalizable theory about the role of information in group conflict.
A working group meets to identify the mechanims that drive different species to make different social choices — band together or go it solo — during times of food shortage.
Powerful vested interests, misplaced economic incentives are major drivers of the joint pandemics of obesity, undernutrition and climate change
A major new report takes a complex systems perspective on obesity, undernutrition, and climate change. The authors, including External Professor Ross Hammond, identify connected drivers for the three pandemics and make practical recommendations for both policy and bottom-up social change.
New SFI research challenges a popular conception of how machine learning algorithms “think” about certain tasks.
The AIP journal Chaos has announced that “Anatomy of leadership in collective behavior,” co-authored by SFI Omidyar Fellow Joshua Garland, former Omidyar Fellow Andrew Berdahl, and their collaborators, is among the most-downloaded papers of 2018.
Jennifer Dunne, Stefani Crabtree, and colleagues present their ArcheoEcology work in two back-to-back symposia, “How Human Interactions with Biodiversity Shape Socio-Ecological Dynamics in Deep Time” on Sunday, Feb. 17 at 1:30 and 3:30 pm at the American Association for the Advancement of Science meeting in Washington, D.C.
One of the first studies to examine how climate is influencing "functional traits" in forest communities on a global scale finds evidence of major changes.
A new paper published in the journal Entropy shows how tools from information theory, a branch of complexity science, can help decipher ice cores by quickly homing in on portions of the data that require further investigation.
A working group at the Santa Fe Institute recently convened to further ecological and evolutionary theory and craft an application for a National Science Foundation (NSF) “Rules of Life” grant.
An opinion piece in Trends in Ecology and Evolution introduces real-world complexity to social dilemmas by accounting for the way individuals modify and adapt to the environments that surround them.
In a November SFI Community Lecture, External Professor Michelle Girvan described an exciting new approach to predicting chaotic systems. Watch her talk here.