Social animals have tipping points, too

Quantitative tools developed in math and physics to understand bifurcations in dynamical systems could help ecologists and biologists better understand — and predict — tipping points in animal societies.

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Postdocs to give flash talks, get writing tips in complexity conference

The fourth bi-annual Postdocs in Complexity Conference at the Santa Fe Institute provides networking opportunities for early career researchers working on complex systems science, as well as special sessions from SFI faculty and other prominent speakers. This three-day conference will build on the themes of the previous three Postdocs in Complexity meetings, refining the structure to allow additional time to build community and focus on collaborations.

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On time and being Maya

The Maya Working Group meets at SFI to discuss a new theme, “Being Maya,” which will focus on the cultural identity of the lowland Maya civilization.

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Working group to parse words, meaning

The bane of the language-learner is a goldmine for linguists, cultural evolutionists, and computer scientists, a group of whom will meet at SFI Aug. 27–28, 2018. Given the messy state of linguistic affairs, they ask, is it possible to quantitatively encode “meaning” independent of any particular language?

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Theory, meet Empiry

It may seem that there isn't much cross-discussion between theoretical and empirical scientists, but a new cross-citation network analysis shows there is more overlap than many believe. 

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Networks, second edition

SFI External Professor Mark Newman has updated his classic textbook on networks. Oxford University Press publishes Networks, second edition, in early September, 2018.

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New external faculty announced for 2018

SFI welcomes ten new professors to our external faculty, a cohort of academics who enrich our networks of interactions, help us push the boundaries of complex systems science, and connect us to over 70 institutions around the globe.

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Broken brains and network structures

Neuroscientists and complexity scientists meet to develop new tools for studying the brain as a complex network. Their working group, titled “Cognitive Regime Shift: When the Brain Breaks,” is part of SFI’s Aging, Adaptation, and the Arrow of Time research theme, funded by the James S. McDonnell Foundation.

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Parakeet pecking orders, basketball match-ups, and the tenure-track: How analyzing winners and losers can reveal rank within networks

In a paper published in Science Advances, researchers from the Santa Fe Institute describe a new algorithm called SpringRank that uses wins and losses to quickly find rankings lurking in large networks. When tested on a wide range of synthetic and real-world datasets, ranging from teams in an NCAA college basketball tournament to the social behavior of animals, SpringRank outperformed other ranking algorithms in predicting outcomes and in efficiency.

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