Constructing a science of stories

From December 10–12, computer scientists, folklorists, physicists, marketing experts, cognitive neuroscientists, economists, mathematicians, psychologists, and other researchers convene at SFI to connect different approaches to understanding stories.

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Personal risk tolerance has sweeping implications for how societies evolve

How much risk is any individual willing to take on? That depends, in part, on their individual resources and environment, which shape the learning strategies that influence their personal proclivity toward risk. A new model, published by SFI External Professor Paul Smaldino and colleagues in Psychological Review, makes predictions that mirror many aspects of modern society..

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SFI welcomes Complexity Postdoctoral Fellow Max Jerdee

Jerdee focuses on building interpretable, unbiased methods for analyzing network data. Using tools such as Bayesian inference and related probabilistic approaches, he develops models that identify network structures while rigorously quantifying uncertainty. “I think a lot about how our methods shape what we believe we see in data,” he says. “If the instrument is biased, everything downstream will be too.”

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Encapsulating life — on Earth and beyond

A cell is fundamentally a container — a vessel that encapsulates life at the most basic level. Many biologists believe encapsulation of chemicals may have been necessary for evolution to gain traction. But how does encapsulation occur? Is it achieved easily — or is it elusive? SFI Professor Chris Kempes and colleagues investigate crucial aspects of this process in a recent paper in a special edition of Philosophical Transactions of the Royal Society B focused on the origins of life.

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How life begins and where it might happen again

A recent special issue of Philosophical Transactions B takes on one of the biggest mysteries in science: how life first began. Instead of trying to replay Earth’s exact history, the issue’s authors look for the universal rules that might make life possible anywhere in the cosmos — the right mix of energy, chemistry, and information.

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SFI welcomes Program Postdoctoral Fellow Shuhao Fu

Artificial-intelligence systems have made remarkable progress in recent years, but they still struggle with the kind of flexible, relational reasoning that comes naturally to humans. Program Postdoctoral Fellow Shuhao Fu studies how to bridge that gap.

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Agent-based models move into the economic mainstream

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, agent-based models (ABMs) proliferated across many fields, including economics, but were largely sidelined in the wider field. A recent month-long working group met at SFI to supercharge wider use of ABMs in economics.

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SFI welcomes Complexity Postdoctoral Fellow Maike Morrison

Complexity Postdoctoral Fellow Maike Morrison builds mathematical tools to quantify and compare biological variation. Her work draws on ecology, population genetics, and information theory to study the structure, diversity, and stability of populations — whether those populations consist of species in an ecosystem, microbes in the gut, ancestry fractions in humans, or even assets in a financial portfolio.

 

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Melanie Mitchell receives award for science communication

SFI Resident Professor Melanie Mitchell has received a 2025 Eric and Wendy Schmidt Award for Excellence in Science Communications from the National Academies of Sciences, Engineering, and Medicine. The award celebrates researchers, institutional writers, and journalists producing high-quality public-facing work.

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Why context matters in decision-making

Why do people make short-term decisions that may not be in their long-term interest? An October 20–22 working group met to take stock of a new body of evidence from experiments and observations to explore decision-making in complex environments, with a specific goal of building theories that can integrate and model context generally.

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Complexity economics offers new tools for today’s global challenges

Global markets are complex systems, shaped by feedback loops, sudden shocks, and adaptive behavior that rarely follow textbook rules and which can’t be captured by neat equations.

That reality is at the center of a special issue on complexity economics published in the Journal of Economic Behavior & Organization earlier this year. SFI’s Jenna Bednar, J. Doyne Farmer, and Penny Mealy edited the issue with R. Maria del Rio-Chanona, Jagoda Kaszowska-Mojsa, François Lafond, Marco Pangallo, and Anton Pichler.

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Review: Thinking Through Archaeological Complexity

Complexity science can help archaeologists understand how the everyday actions of ancient people led to the large-scale patterns we excavate today. In her new book, Thinking Through Archaeological Complexity, Santa Fe Institute External Professor Stefani Crabtree shows how methods drawn from complex systems, such as agent-based modeling and network analysis, can reveal hidden details of the very human stories that ultimately led to the artifacts, buildings, and food remains unearthed in the present day.

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In search of the optimal toolkit

In a new paper in Science Advances, SFI External Professor Marcus Hamilton and colleagues present a new model showing the trade-offs between the cost and utility of new tools in small-scale societies.

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Lou Schuyler Seed Grant funds exploratory postdoc projects

SFI's Lou Schuyler Seed Grant Fund supports SFI’s early-career fellows' new, exploratory research directions. Since 2022, ten SFI postdocs have held these grants. Here, we celebrate the work of a few current and recent grant holders, who are putting these funds to uses as varied as they are inventive.

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SFI welcomes Visiting Postdoctoral Fellow Jacob Calvert

The human brain is remarkably good at detecting patterns in the world around us. We notice behaviors, rhythms, and recurrences, and often build analogies to explain them. But not all of these intuitive ideas about nature hold up under mathematical scrutiny. Visiting Complexity Postdoctoral Fellow Jacob Calvert is interested in which of those ideas can be made precise.

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