Have you no humanities?

SFI will soon launch a new “NEH institute,” Foundations and Applications of Humanities Analytics, to introduce early-career humanities scholars to new ways of studying culture with a wide range of computational tools.

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Tiny worlds reveal fundamental drivers of abundance, diversity

Ecology is traditionally a data-poor discipline, but tiny microbial worlds offer the quantity of data needed to solve universal questions about abundance and diversity. New research by Jacopo Grilli reveals the fundamental relationship between the environment and the species present in a microbial community and can be used as a starting point for investigating bigger systems.

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Size and sleep: New research reveals why little things sleep longer

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.

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New model shows how voting behavior can drive political parties apart

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."

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New book: Unsolved Problems in Ecology

A new collection of essays, co-curated by SFI External Professor Andy Dobson, consider unanswered questions about scaling, population biology, ecosystems and communities, collective behavior, and conservation, among other themes.

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Coronavirus models tap SFI innovations

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.

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A laboratory for policy

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.  

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