News + Events

A new dataset, WikiArtVectors, aims to make computational data approaches available to art historians and cultural analysts, to help discover and understand patterns of cultural evolution.

If you think clean energy is expensive, try fossil fuels. A new report in the journal Joule shows that a rapid transition to renewable energy sources by 2050 could save the global economy trillions of dollars compared to both a gradual transition and to no transition at all.

Friendships in childhood influence incomes in adulthood, and may play an important role in stimulating economic mobility, according to research published across two new papers in Nature.

Research jams are among the highlights of the biannual JSMF–SFI Postdocs in Complexity Conference. This fall, two micro-working groups met in the week leading up to the conference to make progress on conversations they began at the meeting last spring. 

The October 13–14 workshop "Coding the Past: The Challenges and Promise of Large-Scale Cultural Databases" meets to train a group of researchers to use the new online Database of Religious History.

At the crossroads of computer science and computational science, the emerging field of scientific machine learning focuses on harnessing new ideas in machine learning together with predictive physics-based models to solve complex, real-world problems. On October 10–12, a group met to collaborate on new ideas about using scientific machine learning in complex fields.

SFI Professor David Wolpert grapples with the limits of human intelligence in a new essay for Aeon magazine.

In a new paper, SFI Complexity Fellow Stefani Crabtree and Jennifer Dunne, SFI’s Vice President for Science, lay out the first comprehensive definition of archaeoecology, an emerging field that can fill a knowledge gap about important questions of how humans and nature interacted and shaped each other across different places and through time. 

A new kind of predictive network model could help determine which people will change their minds about contentious scientific issues when presented with evidence-based information. A new study in Science Advances presents a framework to accurately predict whether a person will change their opinion about a certain topic. The approach estimates the amount of dissonance, or mental discomfort, a person has from holding conflicting beliefs about a topic. 

Heatwaves are triggering wildfires and killing people around the globe. The climate emergency and the planet’s sixth mass extinction event have already begun. A special themed issue in Philosophical Transactions of the Royal Society B: Biological Sciences addresses what actions have led us to this point and what we can do from here.

A general theory describing how life depends on temperature has been lacking — until now. In a recent paper in the Proceedings of the National Academy of Sciences, research led by José Ignacio Arroyo, an SFI Postdoctoral Fellow, introduces a simple framework that rigorously predicts how temperature affects living things, at all scales. 

By taking another look at the complex relationship between crime and society, researchers at the University of Chicago, including SFI External Professor James Evans, have developed an algorithm that can predict urban crime one week in advance with 90% accuracy. The study, published in Nature Human Behavior, analyzed eight cities — Chicago, Atlanta, Austin, Detroit, Los Angeles, Philadelphia, Portland, and San Francisco — and found consistent results.

There's a complex paradox at play in the dynamics between mask-wearing and the spread of disease: While masking reduces transmission rates and consequently disease prevalence, the reduction of disease inhibits mask-wearing — thereby promoting epidemic revival. A new study led by researchers at the University of Virginia and co-authored by SFI's Simon Levin and Stefani Crabtree explores these complex dynamics. 

The world is rife with rankings and orderings, but these hierarchies are only observed after the fact. That makes it difficult to know the true rankings of a system. In a recent paper published in Physical Review E, SFI's George Cantwell and Cris Moore offer a new model to evaluate rankings. 

A new study in Nature Communications shows that we may have to go all the way down to a single city block to study disease spread, and that the key feature is to choose areas with a similar population density.

From hunter-gatherer encampments to modern cities, permanent human settlements tend to densify as the population grows, while mobile human settlements do the opposite. New research in Current Anthropology explores these dynamics and the conditions that might lead impermanent, spread-out communities to transition to denser, stationary settlements.

The laws of physics underlying everyday life are, at one level of description, completely known, and can be summarized in a single elegant — if quite complex — equation. That’s the claim Santa Fe Institute physicist Sean Carroll makes in a recent paper.

The intensifying search for life on other worlds begs an important question: Will we recognize life when we find it? New work co-authored by SFI External Professor Sara Imari Walker offers an innovative approach.

The advancement of everything from science to education relies in large part on the ability to come up with new ideas. But under what conditions is innovation most likely? To help answer this key question in the science realm, SFI External Professor Manfred Laubichler and colleagues developed a framework to identify the origins of innovation across one field: evolutionary medicine.

A new study in the Proceedings of the National Academy of Sciences suggests extreme polarization can be avoided when two sides of a stubbornly intolerant population have low exposure to each other. This paper is part of a PNAS special issue on the dynamics of polarization.