New Short Course & Symposium to explore first principles of collective intelligence

SFI will host a three-day Collective Intelligence Symposium & Short Course on June 20–23, 2023, focusing on foundational ideas like first principles to help establish a rigorous approach to the study of collective intelligence. The event will also leap into unexplored possibilities through a Radical Ideas competition. Applications are required for all participants, and the priority deadline is February 1, 2023.

Read More

SFI Press publishes "Ex Machina: Coevolving Machines & the Origins of the Social Universe”

If we could rewind the tape of the Earth’s deep history back to the beginning and start the world anew — would social behavior arise yet again? In “Ex Machina,” John H. Miller introduces a methodology for exploring systems of adaptive, interacting, choice-making agents. Miller combines ideas from biology, computation, game theory, and the social sciences to simulate the evolution of social behavior.

Read More

Kyle Harper joins SFI's Fractal Faculty

Kyle Harper, a Roman Historian at the University of Oklahoma, uses the natural sciences to reshape his field. Harper joined SFI as a member of the Fractal Faculty in the fall of 2022.

Read More

Study: Why are sustainable practices often elusive?

For at least 200,000 years, humans have been trying to understand their environments and adapt to them. At times, we have succeeded; often, we have not. In a new study, SFI's Stefani Crabtree, Jennifer Dunne, and others analyze how information flows from ecosystems to the societies inhabiting them.

Read More

Recap: Complexity-GAINs International Summer School

This summer, 38 Ph.D. students from the U.S. and Europe gathered in Vienna, Austria, for SFI’s first Complexity-GAINs international summer school to better understand the dynamics of societies, with an eye toward preventing disintegration.

Read More

In memoriam: Charles ‘Chuck’ Stevens

Charles Stevens, a preeminent neurobiologist who revealed fundamental architectures in the brain and whose experimental techniques paved the way for decades of molecular neuroscience, passed away on October 21, 2022, in San Diego, CA. At the time of his passing Stevens, 88, was a distinguished professor emeritus at the Salk Institute for Biological Studies and a fellow of the Santa Fe Institute’s Science Board and External Faculty.

Read More

Cormac and SFI: an abiding friendship

In anticipation of Cormac McCarthy’s newest books, “The Passenger” and “Stella Maris” (Knopf, 2022), former SFI Miller Scholar Laurence Gonzales recollects McCarthy’s long and ongoing friendship with SFI.

Read More

Research News Brief: The frugal case for energy transition

If you think clean energy is expensive, try fossil fuels. A new report in the journal Joule shows that a rapid transition to renewable energy sources by 2050 could save the global economy trillions of dollars compared to both a gradual transition and to no transition at all.

Read More

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. 

Read More

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. 

Read More

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.

Read More

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.

Read More

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.

Read More