NPR’s David Brancaccio is hosting a free, virtual book club around the CORE team's introductory econ textbook.
New work led by SFI researchers reconciles divergent methods used to analyze the scaling behavior of cities.
The walls of SFI’s Miller and Cowan campuses were recently adorned with an exhibition by acclaimed visual artist Greg Stimac.
A new Scientific Reports paper puts an evolutionary twist on a classic question. Instead of asking why we get cancer, Leonardo Oña of Osnabrück University and Michael Lachmann of the Santa Fe Institute use signaling theory to explore how our bodies have evolved to keep us from getting more cancer.
In this SFI Community Lecture, economist Rajiv Sethi shows the depths to which stereotypes are implicated in the most controversial criminal justice issues of our time, and how a clearer understanding of their effects can guide us toward a more just society.
In the few short months since Carrie Cowan arrived at SFI, she’s been immersed in the culture and in uncovering new ways to advance the Institute’s educational mission. But the moments that most stand out to SFI’s new Director for Education are all about the people.
For something as ubiquitous in modern life as electrical power, few of us know much about the rules that govern power production, fees, or transmission. SFI External Professor Seth Blumsack, with colleagues from Boise State University and Duke University, are working to better understand them through a recently funded project called RTOGov (short for RTO Governance). Last fall, they shared what they've learned with the U.S. Congress.
In an op-ed for Fast Company, External Professor James Evans (University of Chicago) and his colleagues demonstrate that when organizations and individuals succeed after failure they follow a distinct path.
A new model of how animals budget their energy sheds light on how they live and explains why they tend to evolve toward larger body sizes.
A special issue of Isis, compiled by SFI's Manfred Laubichler and his colleagues, takes stock of the growing field of computational history.
Whether we decide to take out that insurance policy, buy Bitcoin, or switch jobs, many economic decisions boil down to a fundamental gamble about how to maximize our wealth over time. How we understand these decisions is the subject of a new perspective piece in Nature Physics that aims to correct a foundational mistake in economic theory.
In a paper published in Economics Letters, SFI's Samuel Bowles and Wendy Carlin propose a novel twist on the widely used Gini coefficient—a workhorse statistical measure for gauging the gap between haves and have-nots.