Carlo Rovelli joins SFI's Fractal Faculty
Carlo Rovelli, a physicist known for his work on loop quantum gravity and for several popular science books including Seven Brief Lessons on Physics and The Order of Time, has joined SFI's Fractal Faculty.
The latest news and events at the Santa Fe Institute
Carlo Rovelli, a physicist known for his work on loop quantum gravity and for several popular science books including Seven Brief Lessons on Physics and The Order of Time, has joined SFI's Fractal Faculty.
In his new book Modeling Social Behavior: Mathematical and Agent-Based Models of Social Dynamics and Cultural Evolution, SFI External Professor Paul Smaldino provides an excellent introduction to agent-based modeling for social scientists and others interested in modeling cognitive–social systems and integrates the use of computational agent-based models with classic mathematical approaches from dynamical systems and game theory.
As AI increasingly influences our human experience, we need to better understand its behavior. In new research published in Proceedings of the National Academy of Sciences, SFI External Professor Matthew Jackson and co-authors presented two recent versions of ChatGPT — GPT-3 and -4 — with a common personality test and a suite of behavioral games, then compared the responses to those of humans from around the world.
There are many things we don’t know about how history unfolds. The process might be impersonal, even inevitable, as some social scientists have suggested; human societies might be doomed to decline. Or, individual actions and environmental conditions might influence our communities’ trajectories. Social scientists have struggled to find a consensus on such fundamental issues. A new framework by SFI faculty and others suggests a way to unify these perspectives.
Randomness in an environment can make predictions difficult to model, but a new approach helps streamline the process.
A March 11–15 working group will focus on the possibility of embodied agents gaining an awareness of what it is like to be.
Networks can represent changing systems, like the spread of an epidemic or the growth of groups in a population of people. But the structure of these networks can change, too, as links appear or vanish over time. In a new paper, a trio of SFI-affiliated researchers describe a novel way to aggregate static snapshots into smaller clusters of networks while still preserving the dynamic nature of the system.
In the first major gifts of 2024, and as part of SFI’s 40th Anniversary, the McKinnon Family Foundation and the Darla Moore Foundation have collectively pledged $750K each year for the next five years to support SFI’s education and early-career researcher programs. The gifts will ensure the financial stability of SFI’s Omidyar Fellowship, summer Undergraduate Complexity Research program, and its flagship Complex Systems Summer School.
New simulation model shows that the evolution of sustainable institutions critically depends on clearly defined and enforced access rights.
Applications for the second Complexity Global School, to be hosted at Universidad de los Andes, Colombia, from July 21 to August 3 – are now open.
In a new paper, SFI External Professor Ricard Solé and co-authors propose an experimental setup that will test James Lovelock and Lynn Margulis's hypothesis of planetary self-regulation.
SFI Professor Samuel Bowles was recently recognized as a Fellow of the International Economics Association in recognition of "excellence in economic research, research-driven popular writing, and economic policymaking.”
In 2015, the United Nations published its 2030 Agenda for Sustainable Development, setting aspirational and interconnected targets for economic, environmental, and health well-being, but we're falling woefully short of those targets. Of particular concern to a pair of SFI External Professors are the biodiversity goals. In a February working group, researchers will explore the probabilities and consequences of falling short of the U.N. goals.
A new study in Nature Communications presents data and a mathematical model to explain why there is more unconscious, or implicit, racial bias in some cities than others. The study, which brings together the math of cities with the psychology of how individuals develop unconscious racial biases, suggests that a city's level of implicit bias depends on how populous, diverse, and segregated that city is.
Researchers introduce a mathematical model that connects innovation and obsolescence to unify insights across diverse fields, from economics and biology, to science itself.
The AI that can write sentences or compose news articles can also accurately predict the unfolding of individual human lives. A new tool called life2vec can predict outcomes, including early death, by leveraging similarities between how sequences of events progress in human lives and sequences of words progress in language, according to a recent study in Nature.
Many complex systems, from microbial communities to mussel beds to drylands, display striking self-organized clusters. According to theoretical models, these groupings play an important role in how an ecosystem works and its ability to respond to environmental changes. A new paper in PNAS focused on the spatial patterns found in drylands offers important empirical evidence validating the models.
William (Bill) Sick, who served for nearly two decades on SFI’s Board of Trustees, passed away on December 8, 2023. He was 88 years old.
Waste is a natural by-product of productive human economies and a problem that plagues human systems. In a new paper, Mingzhen Lu and Chris Kempes explore how three types of waste production — municipal solid waste, wastewater, and greenhouse gas emissions — scale with city size.
In 2005, three researchers at SFI put forward a model, now known as the LMF Model, explaining a "long-memory" behavior in stock markets around the world. Last November, their model was finally confirmed.