Cormac McCarthy, the celebrated American novelist and a senior fellow at SFI, is publishing his first-ever non-fiction science essay in Nautilus magazine.
In a new paper published in the current issue of the American Journal of Political Science, SFI Omidyar Fellow Marion Dumas looks at 40 years of U.S. environmental laws to ask what impact litigious citizens have on the political bargaining process.
Science in particular has begun to probe the possibilities and limits of Big Data — and is making headway in building new analytic tools, finding new correlations, and achieving theoretic progress.
Simon DeDeo's new tutorial introduces learners to renormalization — a method for blurring small details in order to capture meaningful features of complex systems.
Shannan is the vice president for customer support at Shopify, which provides services for businesses and entrepreneurs who want to set up shop on the internet. Shopify joined SFI’s Applied Complexity Network (ACtioN) in late 2016.
Michael Kearns presented an SFI Community Lecture on machine learning and social norms at The Lensic Performing Arts Center on April 4. Watch his talk here.
Starting this week, a new online tutorial teaches quantitative approaches to understanding game-like interactions between multiple decision makers.
Why salmon migrate in 'pulsing' patterns is the subject of a new paper published today in Animal Behavior.
In a new study, SFI Omidyar Fellow Eleanor Power analyzes the social benefit of religious participation in two South Indian communities.
The journal Chaos has announced that “Evaluating gambles using dynamics,” co-authored by SFI’s Murray Gell-Mann and Ole Peters, was the most-read paper of 2016.
SFI Professor Luis Bettencourt accepts roles as Pritzker Director the Mansueto Institute of Urban Innovation at the University of Chicago and Professor of Ecology and Evolution at the University of Chicago.
An analysis of conflicts within a community of pigtail macaques shows how agitated monkeys can precipitate critical, large-scale brawls.