Using data from humans and other mammals, a team of scientists including researchers from the Santa Fe Institute has developed one of the first quantitative models that explains why sleep times across species and during development decrease as brains get bigger. Crucially, the model identifies a sharp transition at around 2.4 years of age, where sleep patterns change in humans as the primary purpose of sleep shifts from reorganization to repair.
SFI External Professor Raissa D’Souza has joined the Board of Reviewing Editors at Science magazine, one of the world’s top peer-reviewed journals.
In an essay for Aeon magazine, SFI Professor Jessica Flack and SFI Davis Professor Melanie Mitchell describe how the COVID-19 pandemic prompts us to revisit the ways that complex systems retain stability in the biological world. By learning from biological systems, we can begin to shore up the vulnerability inherent in the complex systems that undergird human life.
Leaders of sustainability organizations report on valuable lessons they’ve distilled from their own experiences about successful leadership.
If voters gravitate toward the center of the political spectrum, why are the parties drifting farther apart? A new model by SFI's Vicky Chuqiao Yang and her collaborators reveals a mechanism for increased polarization in U.S. politics, guided by the idea of "satisficing"-- that people will settle for a candidate who is "good enough."
A new paper by Professor Sid Redner and his collaborators gives a statistical model for optimizing mechanical processes where components wear down and must be reset. It has been chosen as an Editor's Suggestion at the high-profile physics journal, Physical Review Letters.
Leaving money on the table to stay in the game: New paper squares economic choice with evolutionary survival
How biological survival relates to economic choice is the crux of a new paper by SFI's Michael Price and Stanford's James Holland Jones.
Workshops and working groups are among the defining features of science at SFI, but the dividends sometimes follow months or years down the line.
Complexity Explorer unveils a brand-new course on the many faces of computational complexity, with SFI Professor Cris Moore. The content is appropriate for learners from any background (and no mathematical heavy lifting required).
SFI External Professor Ross Hammond and collaborators have developed a new agent-based computer model that helps policy-makers simulate multiple variations for re-opening. It can incorporate critical factors in determining how to contain COVID-19, such as variations in age, contact networks, activity patterns, and likelihood of infection.