Study: new model for the transmission of cultural knowledge

In a new study, published in Journal of the Royal Society Interface, SFI's Simon DeDeo and Helena Miton describe a new model for understanding the transmission of tacit knowledge – that kind of working knowledge that is passed down with very limited specification. 

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SFI welcomes Program Postdoctoral Fellow James Holehouse

How do the regulatory systems of governments change as they grow? Do bigger governments require more or fewer bureaucrats per capita? Are more efficient bureaucracies possible? Program Postdoctoral Fellow James Holehouse is fascinated by how complex systems, from governments to cells, change over time. 

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Advancing science with machine learning

At the crossroads of computer science and computational science, the emerging field of scientific machine learning focuses on harnessing new ideas in machine learning together with predictive physics-based models to solve complex, real-world problems. On October 10–12, a group met to collaborate on new ideas about using scientific machine learning in complex fields.

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SFI welcomes Complexity Postdoctoral Fellow Pedro Márquez-Zacarías

In biology, hierarchies are everywhere, from Linnaean taxonomy — the system we use to classify living things — to the social organization within a pod of gorillas. Biological hierarchies are often explained by the Major Evolutionary Transitions (MET) framework, which holds that evolutionary processes gave rise to life’s hierarchies. But this framework has some missing pieces, Complexity Postdoctoral Fellow Pedro Márquez-Zacarías suggests.

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Quantifying the risk of regime change

Our financial, supply, energy, belief, and political systems are undergoing regime shifts. On October 3, SFI researchers and members of ACtioN and SFI’s Complexity Society met to explore these regime shifts from a complex systems perspective.

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Sam Bowles and Herb Gintis named Citation Laureates

SFI Professor Sam Bowles and External Professor Herb Gintis have been selected as 2022 Citation Laureates by Clarivate "for providing evidence and models that broaden our understanding of economic behavior to include not only self-interest but also reciprocity, altruism, and other forms of social cooperation.”

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InterPlanetary: Voyager to launch in October 2022

This October 22 & 23, SFI will reprise the InterPlanetary Festival. In partnership with SITE Santa Fe, this year’s festival offers an intimate setting with limited seating, and content simulcast to multiple screens in Santa Fe's Railyard Park and streamed online. 

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SFI Welcomes Complexity Postdoctoral Fellow Jack Shaw

The climate and biodiversity crises are stressing wildlife species around the world in unprecedented ways. A species’ evolutionary past, however, can help shed light on its fate in the face of future environmental change. Helping to fill in these crucial data gaps is the focus of Complexity Postdoctoral Fellow Jack Shaw’s work at SFI. 

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SFI welcomes Applied Complexity Postdoctoral Fellow Veronica Cappelli

Many researchers at SFI are driven by a curiosity to understand the laws that underlie various forms of life. Work spearheaded more than two decades ago by SFI’s Geoffrey West, Brian Enquist, and Jim Brown has illustrated that organisms’ biological functions are governed by scaling laws. Other researchers have gone on to discover that human social life, from cities to organizations, follows similar rules. “These laws apply, with their own specificities, across domains,” says Veronica Cappelli, an SFI Applied Complexity Postdoctoral Fellow.

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Study: new model for predicting belief change

A new kind of predictive network model could help determine which people will change their minds about contentious scientific issues when presented with evidence-based information. A new study in Science Advances presents a framework to accurately predict whether a person will change their opinion about a certain topic. The approach estimates the amount of dissonance, or mental discomfort, a person has from holding conflicting beliefs about a topic. 

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