News + Events

In this “Ocean Decade,” as declared by the United Nations, we face an unprecedented wealth of data documenting the world's oceans. Gathered with tools from satellites to autonomous robots, what once was an information paucity now has become a glut. An August 12–14 working group gathers an international cohort of BioGeoSCAPES Fellows to propose top priorities for the next era of highly interdisciplinary ocean science. 

An SFI working group met July 22–24 to consider the role of contingency in complex adaptive systems beyond biology.

A a June 10–14 workshop meets to develop a new poll for the Database of Religious History to help researchers interested in quantifying the role of music and ritual in religious practices around the world. 

A December 11–15 working group focuses on how the interaction of information and energy, through computing, shapes social systems. The meeting follows a March 2023 working group that laid the groundwork for this emerging area.

A September 27–29 workshop, the Complex Time General Conference on Immortality, meets to explore general patterns for lifespan across scales, from organisms, the mind, and behavior, to civilizations and star systems. The organizers hope to challenge preconceptions about immortality and, eventually, develop a general theory of longevity. 

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.

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. 

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.

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. 

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

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.

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.

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. 

The October 13–14 workshop "Coding the Past: The Challenges and Promise of Large-Scale Cultural Databases" meets to train a group of researchers to use the new online Database of Religious History.

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.