SFI science meetings pay slow, substantial dividends
Workshops and working groups are among the defining features of science at SFI, but the dividends sometimes follow months or years down the line.
The latest news and events at the Santa Fe Institute
Workshops and working groups are among the defining features of science at SFI, but the dividends sometimes follow months or years down the line.
Lauren Ancel Meyers and Sam Scarpino’s analyses inform critical, front-line decisions on pandemic response. Much of their work relies on quantitative methods of network epidemiology, which originated at SFI.
Like many events in the COVID era, the bi-annual Postdocs in Complexity conference has moved online. Participants continue to collaborate despite some of the inherent challenges.
New research shows that spider monkeys use collective computation to figure out the best way to find food.
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.
InterPlanetary Transmissions: Stardust, a record of the proceedings of the second annual InterPlanetary Festival, has launched from the SFI Press.
A new paper by SFI Professor David Wolpert and Program Postdoctoral Fellow Artemy Kolchinsky lays out specific equations for understanding the thermodynamic costs of operating a computer circuit.
The COVID-19 pandemic can be understood as the first complexity crisis in history, Geoffrey West and David Krakauer write in an article for Nautilus. By capturing the kinds of tradeoffs that lie at the heart of complexity crises, complexity science can help us manage the pandemic’s long-term ramifications.
We must use a modeling approach to COVID-19 data that will yield the least biased inference and prediction.
When thinking about reopening schools, an important factor to consider is the rate of community transmission.
Biological builders like beavers, elephants, and shipworms re-engineer their environments. How this affects their ecological network is the subject of new research by former Omidyar Fellow Justin Yeakel, which finds that increasing the number of "ecosystem engineers" stabilizes the entire network against extinctions.
Human cognition and cultural norms have changed the composition of human portraits, according to a new analysis of European paintings from the 15th to the 20th century. The study, led by SFI Omidyar Fellow Helena Miton, examined "bias" in 1831 paintings by 582 unique European painters.
Our thoughts are with the many victims of disease, abuse, injustice, and exclusion. Black lives and Native lives matter. Our community of complexity researchers are aligned with all who are committed to freedom, justice, diversity, opportunity, and empiricism. We stand with those who strive to provide the most powerful ideas, methods, and tools pursuant to a civil and equitable society. We add our voice to the moment, defend freedom of expression, and offer all that we can in pursuit of a safer and fairer world.
A new technique could help identify prime candidates for changing election outcomes, or lead to a better understanding of how institutional and environmental factors shape the emergence of social structure.
Well-mixed models do not protect the vulnerable in segregated societies.
Pandemics rapidly reshape the evolutionary and ecological landscape and have cascading social, economic, and other system-level effects.
The countervailing pressures of economic pain and disease containment are keeping the COVID-19 pandemic at a noisy equilibrium.
The COVID-19 pandemic offers an opportunity to out-evolve the virus by evolving our own scientific ingenuity and social practices.
External Professor Emeritus Constantino Tsallis and his colleague describe a single function that accurately describes all existing available data on active COVID-19 cases and deaths—and aims to predict forthcoming peaks.
New research into a massive archaeological dataset finds that the ability to store and process information was central to sociopolitical development across civilizations.