News + Events

The past 20 years have seen rapid changes in our social networks, and our individual behaviors are now maladapted. To respond to these changes as a society, we first need a better understanding of how groups alter their decision-making strategies and beliefs to cope with emerging problems. A September 12–14 workshop, part of SFI’s CounterBalance Series and funded by Siegel Family Foundation, is convening scientists from a range of biological, social, and physical sciences, and senior representatives from civic organizations and the tech industry, to discuss the challenges and potential directions forward. 

From the perch of modernity, it is tempting to envision the limbs of the tree of life as inevitable, a steady march toward existence from one generation to the next. Some branches in the tree are shorter than others, of course — tales of extinction, from the asteroid-blasted dinosaurs to the human-blasted passenger pigeon, offer a tragic alternative vision of what life on Earth could look like today.  An August working group, “Feasible but Undiscovered Metabolisms II: Thermodynamics, Evolution, and the Origin of Life,” explores spaces of undiscovered life.

By using knowledge of phase transitions in physical systems, researchers can gain new insights into more efficient ways to answer questions about patterns and structures in sprawling datasets. SFI Professor Cris Moore recently organized a working group, held July 17–21 at SFI, that brought together experts from computer science, physics, and mathematics to explore connections between theoretical computer science and spin-glass theory, which is a framework for understanding phase transitions in complex materials. 

Prediction is a key part of complex systems, in a wide variety of fields. Physicists and mathematicians use prediction performance to evaluate their models of mechanical systems; engineering prediction algorithms can inform the design of complicated devices. Prediction is also integral in artificial intelligence, in large language models like ChatGPT, which are designed to predict a word or words that follow from a prompt. A July 10–14 workshop at SFI called “Sensory Prediction: Engineered and Evolved” met to discuss how to build better models of prediction in living organisms.

A June 13-15 workshop met to explore optimal regulations in diverse fields, ranging from biology and physics to corporate management.

In a new study published in PNAS, External Professor and UC Davis professor emeritus Alan Hastings and colleagues analyzed a case of social contagion in Adouin's gulls in Spain.

SFI's David Wolpert's No-free-lunch theorems have stirred up many opinions over the past few decades. Wolpert chimes in on the conversation in a new piece in the Journal for General Philosophy of Science.

Registration for virtual participation in SFI’s three-day Collective Intelligence Symposium & Short Course (CISSC) is now open. With a sold-out in-person event, organizers are offering live streaming and virtual access to posters for remote participants. The $100 online-only registration fee also provides lifetime access to video recordings of the meeting. Seats via Zoom are limited. Interested participants are encouraged to register soon. 

A new study in Science Advances proposes a model for examining the interplay of epidemiology and economics that could give policymakers guidelines when we face novel outbreaks in the future.

AI and the Barrier of Meaning 2, a workshop held at the Santa Fe Institute on April 24–26, brought together experts working in AI, cognitive science, philosophy, anthropology, linguistics, neuroscience, and law. Videos of the talks from the workshop are now available on YouTube. Similar to the first AI and the Barrier of Meaning workshop, held in 2018, the event focused on questions related to “understanding” and what it means to “extract meaning” in a humanlike way.

In a paper in Scientific Reports, former SFI Postdoctoral Fellow Gizem Bacaksizlar Turbic and SFI Professor Mirta Galesic tested compared the network structure of comments in four publications with varying political persuasions to test theories about the potential influence of a small group of voices. 

Most people think of a disease outbreak when they hear the word “contagion.” But it’s a concept that extends beyond pathogens. It could be an infectious disease, a fad, an online meme, or even a positive behavior in a population. An April 19–21 workshop will explore the dynamics of interacting contagions. 

ChatGPT knows how to use the word “tickle” in a sentence but it cannot feel the sensation. Can it then be said to understand the meaning of the word tickle the same way we humans do? In a paper for PNAS, SFI researchers Melanie Mitchell and David C. Krakauer survey the ongoing debate in which AI researchers are teasing apart whether Large Language Models like ChatGPT and Google’s PaLM understand language in any humanlike sense.

A February 22–24, 2023 working group explores the relationship between regeneration, robustness, and failure.

In the last 50 years, economic theory has come to be based almost solely on mathematics. This brings logical precision, but according to a new paper by SFI economist Brian Arthur, it restricts what economics can easily talk about.

Does a diversity of species protect ecological communities from invasion? Recent work by SFI External Professor Andreas Wagner takes up this long-standing question for complexity science, at a microscopic scale.

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.

In November, Brian Enquist, Mary O’Connor, and Chris Kempes organized a workshop to take stock of advances in biological scaling theory since the publication of a seminal book for the field.

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.

Two recent papers by CU Boulder and SFI co-authors explore the socioeconomic makeup and the educational backgrounds of tenure-track faculty across the U.S.