Modeling an ancient people

Drawing on the richness of data and questions that arose out of agent-based simulations of the Artificial Anasazi Project that originated at SFI in the mid 1990s, SFI External Professor George Gumerman and Alan Swedlund (UMass Amherst) have taken their simulation one step further in a revised model they call the Artificial Long House Valley model.

 
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Mapping the movements of birds and beasts

Using aerial drones to track the movements and interactions of a migrating herd of caribou, SFI Omidyar Fellow Andrew Berdahl plans to test a hypothesis that traveling en masse helps the herd navigate.

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A science of city skylines?

Articles in CityLab and MIT Technology Review highlight new SFI research on metropolitan buildings, population size, innovation, and a city’s carbon footprint.

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Adapting to adaptations

A new paper by SFI External Professor Juan Pérez-Mercader and colleague Matthew Egbert addresses the puzzle of how organisms regulate and respond to their own adaptations.

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Designing difficult problems

Computer scientists study optimization because algorithms can do heavy computational lifting. The ideal algorithm identities the best strategy and proves that no others are better.

 
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