Simulations that help determine how a large-scale pandemic will spread can take weeks or even months to run. A recent study in PLOS Computational Biology offers a new approach to epidemic modeling that could drastically speed up the process.
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.
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.
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.
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.
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.
SFI External Professor Lauren Ancel Meyers will lead a new interdisciplinary Center for Pandemic Decision Science at the University of Texas at Austin, funded by a pilot grant from the National Science Foundation.
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.
Research jams are among the highlights of the biannual JSMF–SFI Postdocs in Complexity Conference. This fall, two micro-working groups met in the week leading up to the conference to make progress on conversations they began at the meeting last spring.
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.
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.
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.”
Microeconomics: Competition, Conflict, and Coordination, a new textbook by SFI Professor Samuel Bowles and Simon Halliday, upends the conventional content of economics texts and allows a new, more engaging, way of teaching the subject.
SFI welcomes Complexity Postdoctoral Fellow Daniel Muratore, whose research focuses on multiple aspects of the knowledge-generating process from theory and simulation to data analysis to classical oceanographic fieldwork.