News + Events

No matter how mundane or life-changing, the decisions we make are necessarily based on whatever limited information is available to us. If you’re weighing the risks of going outside during a pandemic, for example, you might base your decision on the news (which is updated only periodically) or whether you personally knew anybody who was sick (which is a small sample size.) SFI Complexity Postdoctoral Fellow Aanjaneya Kumar studies the science of making sound decisions based on limited information.

SFI welcomes Complexity Postdoctoral Fellow Daniel Muratore, whose research focuses on multiple aspects of the knowledge-generating process from theory and simulation to data analysis to classical oceanographic fieldwork.

Stuart Firestein, a neuroscientist who specializes in the olfactory system and who is obsessed with the history, evolution, and future of science, joins SFI's Fractal Faculty.

Melanie Mitchell’s life changed on the New York City subway. During her post-college stint as a high-school math teacher in Manhattan, every subway ride was an opportunity to conquer a few more pages of Douglas Hofstadter’s Gödel, Escher, Bach. Reading it, she became fascinated with the way math, art, and music could help explain the emergent properties of intelligence. She realized she wanted to work with Hofstadter and become an AI researcher. 

In 2011, Sean Carroll was sipping coffee on a boat traveling between Bergen, Norway, and Copenhagen, when it occurred to him that there was no better model for how life emerged from chaos than his favorite hot drink. Or, as he put it later, “why complexity increases with time and then decreases — in contrast to entropy, which increases monotonically.” The boat was hosting FQXi’s physicist conference, and when the theoretical computational scientist Scott Aaronson, who was on board, heard Carroll’s question, he fell in love with what he called Carroll’s beautiful idea.