Aeon: Origin story

Recently, a number of SFI scientists have brought new research frames to bear on the origin of life puzzle. Their work, and that of other leading researchers in the field, is highlighted in a recent Aeon essay.

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Aeon: Uncertain times

In an essay for Aeon magazine, SFI Professor Jessica Flack and SFI Davis Professor Melanie Mitchell describe how the COVID-19 pandemic prompts us to revisit the ways that complex systems retain stability in the biological world. By learning from biological systems, we can begin to shore up the vulnerability inherent in the complex systems that undergird human life.

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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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Research News Briefs, Summer 2020

Research News Briefs highlight new studies from the SFI community published in the last quarter. The following briefs appeared in SFI's Summer 2020 Parallax newsletter. 

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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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