The Santa Fe Institute (SFI) is an independent, nonprofit theoretical research institute located in Santa Fe (New Mexico, United States) and dedicated to the multidisciplinary study of the fundamental principles of complex adaptive systems, including physical, computational, biological, and social systems. The Institute houses a small number of resident faculty, who collaborate with many affiliated and visiting scholars. Although theoretical scientific research is the Institute's primary focus, it hosts a number of complex systems summer schools, internships, and other educational programs throughout the year. The Institute's annual funding is derived primarily from private donors, grant-making foundations, government science agencies, and companies affiliated with its Business Network. The Santa Fe Institute was founded in 1984 by scientists George Cowan, David Pines, Stirling Colgate, Murray Gell-Mann, Nick Metropolis, Herb Anderson, Peter A. Carruthers, and Richard Slansky.
Identifying how the chemical subsystems of metabolism have changed
To better understand the emergence of life, former SFI Omidyar Fellow Rogier Braakman and External Professor Eric Smith are taking a careful look at Aquifex aeolicus.
Robust systems persist in response to mutations
At first glance, robustness and evolvability—two keys to the continued existence of life—look incompatible. Living things need robust genes; otherwise, any mutation could spell death. At the same time, a species needs ...
Can scientists know that they do not know?
Imagine you knew everything about the current universe – the state of every single particle – and all the laws governing the universe's evolution. Endowed with such knowledge, you could then predict the future, right? ...
How a species stays relevant as it changes its world
How complexity evolved in cells is a question as intriguing as it is difficult to explain. Though we cannot fully solve the puzzle, we can learn how species give themselves time to go from random to programmed development.
New technique for dataset cluster detection
(Phys.org) —A persistent problem for mathematicians trying to understand the structures of networks – in datasets representing relationships among everything from galaxies to people – is community detection: finding ...
Research investments, growing markets prompt rise in energy patents, study finds
Innovation in energy technology is booming, according to a new paper in PLOS One that examines what factors set the pace for energy innovation.
Early Clovis knew their land and stone
Some 60 km southeast of Socorro, N.M., a low gravel ridge runs above the Chupadera Wash in the Rio Grande Rift Valley. The remote Mockingbird Gap is a dry, narrow strip half a mile long, but thousands of ...
Experimental progress begins to fill gaps in hypotheses for life's emergence
SFI Omidyar Fellow Rogier Braakman, in a commentary in PNAS, reviews two scientists' recent progress in simulating prebiotic chemistry at deep-sea hydrothermal vents and puts the research in the context of wha ...
Human transition from foraging to farming was a gradual co-evolution, not a rapid innovation
Research by SFI Professor Sam Bowles on the co-evolution of agriculture and private property features prominently in a review in Current Biology about scientists' current understanding of the factors leadin ...
A mathematical framework for understanding cities: Part social reactor, part network
Cities have long been likened to organisms, ant colonies, and river networks. But these and other analogies fail to capture the essence of how cities really function.
How rising temperatures could alter species interactions, ecosystems
A new paper by SFI External Professor Van Savage and collaborators at UCLA provides new details about how rising temperatures will alter the ways species interact – changes that biologists fear could destabilize ...
Crowd wisdom economics: The bad news
(Phys.org) —Volkswagen is simply a better car company than Fiat. Profits are higher, and so are wages. Why doesn't Fiat just be like VW? Why doesn't Italy, for that matter, emulate Germany? Is it elites that perpetuate ...
Court transcripts, military reports reveal telling patterns in information
(Phys.org)—If you were to wander the halls of a courthouse during a murder trail, could you predict the verdict from the conversations you would overhear? And what would be the smallest amount of information ...
New clues to Wikipedia's shared super mind
(Phys.org) —Wikipedia's remarkable accuracy and usefulness comes from something larger than the sum of its written contributions, a new study by SFI Research Fellow Simon DeDeo finds.
World population not likely to stabilize at 10 billion people
Projections suggesting the world human population will stop growing around 10 billion people at the end of this century are improbable, according to new research by SFI Postdoctoral Fellow Marcus Hamilton and collaborators.