SFI welcomes Postdoctoral Fellow Saverio Perri

In a complex system, small, local changes can create a cascade of unexpected consequences in other parts of the system. Choices that seem immediately prudent might prove less ideal in the long term. Applied Complexity Fellow Saverio Perri is interested in the unexpected ways that sustainability transitions might impact both social and ecological systems. 

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SFI welcomes Postdoctoral Fellow Katrin Schmelz

Incoming Omidyar Fellow Katrin Schmelz grew up in East Germany, mere kilometers from the border with West Germany. The experience has shaped her research questions into how experiences of state control impact how people respond to other restrictions throughout their lives and how individual behaviors and values coevolve with societal institutions and policies.

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Meeting explores collective adaptation in a turbulent world

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. 

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SFI welcomes Complexity Postdoctoral Fellow Kerice Doten-Snitker

Hoping to finish the most comprehensive spatial database on medieval and modern Germany, Complexity Postdoctoral Fellow Kerice Doten-Snitker enters SFI intending to weave complexity science into her research. Doten-Snitker’s research explores how the formation of states and institutions pave the way for social constructs of race and ethnicity to emerge. She completed her Ph.D. in sociology at the University of Washington.

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SFI welcomes Applied Complexity Fellow Seungwoong Ha

Machine-learning tools have powerfully accelerated the process of doing science. They can sort through and analyze vast sums of data, revealing insights and connections about the world never before possible. But could we ever fully automate the scientific process?  Could we make an AI physicist? It’s a question that captured Seungwoong Ha, an incoming Applied Complexity Fellow, as a student at Korea Advanced Institute of Science and Technology (KAIST) where he completed his B.S. and integrated M.S. and Ph.D., all in physics. 

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SFI welcomes Complexity Postdoctoral Fellow Anna Guerrero

SFI welcomes Complexity Postdoctoral Fellow Anna Guerrero, whose research focuses on the use of images in biology. She uses a historical and philosophical lens to docuent how biologists use the concept-to-image cycle to learn about the physical world. 

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SFI welcomes new External Faculty

External Faculty are central to SFI’s identity as a world-class research institute. They enrich our networks of interactions, help us push the boundaries of complex systems science, and connect us to over 70 institutions around the globe. SFI welcomes eight new External Faculty members. 

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Working group explores feasible — but undiscovered — metabolisms

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.

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Study: The importance of the mesoscale

From the smallest, micro-scales to large, macro-scales, the workings of many systems can be understood at multiple levels. Growing evidence suggests that the mesoscale, which connects the two extremes, is a good starting point when trying to build an ontology or complete understanding of a system. In a new paper in Philosophy of Science, Julia Bursten (University of Kentucky) and SFI Postdoctoral Fellow Kelle Dhein add to that argument, highlighting the importance of the mesoscale through a case study of modeling insect behavior at multiple scales.

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Alison Gopnik wins Rumelhart Prize

The Cognitive Science Society announced SFI External Professor Alison Gopnik as the 2024 winner of the Rumelhart Prize for her contributions to the field of cognitive science. 

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Research News: Tit for tattling — cooperation, communication, and altruism

Altruistic behavior often comes at a personal cost, but there are also benefits. The person you help might return the favor directly — tit-for-tat. Or, people might talk about your good deeds, and reciprocity could come via a third party.  In a recent paper in Evolution and Human Behavior, SFI Graduate Fellow Victor Odouard and former Applied Complexity Fellow Michael Price explore the communication systems necessary to sustain indirect reciprocity.

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Workshop explores complex-systems solutions for 21st-Century challenges

When COVID-19 hit, SFI External Professor J. Doyne Farmer (University of Oxford) wanted to use his expertise to help predict how the economy would respond to the emerging pandemic. But the realities of COVID-19 — like so many of the concerns humanity currently faces — didn’t fit neatly into standard economic theory. It meant that he and his colleagues had to build new models based on “complexity economics” to make those predictions.

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SFI hosts conference-style event on Collective Intelligence

SFI hosted its first public conference-style event June 20-22 at the La Fonda Hotel in Santa Fe, New Mexico. The event, which focused on the foundations of collective intelligence and was a combined symposium and short course, drew over 200 in-person attendees and about 150 virtual participants from around the world. 

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Wendy Carlin named Fellow of the British Academy

The British Academy announced its list of Fellows for 2023, which included SFI External Professor Wendy Carlin. She was among 52 other distinguished individuals recognized for their significant contributions to research in the humanities and social sciences.

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Study: An inverse model for food webs and ecosystem stability

In a new study published in the Proceedings of the National Academy of Sciences, authors Gabriel Gellner and Kevin McCann from the University of Guelph and SFI External Professor Alan Hastings (UC Davis) invert a classical approach to modeling food webs. Instead of trying to replicate stable, complex ecosystems using simplistic representations of species interactions, the authors’ novel inverse method assumes the ecosystems exist and works backward to characterize food webs that support that assumption.

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Two SFI External Faculty named Network Science Society Fellows

The Network Science Society announced SFI External Professors Aaron Clauset and Tina Eliassi-Rad as two of their 2023 Fellows in recognition for their contributions in network science. The ceremony was held in Vienna, Austria as part of the International Conference on Network Science. 

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Study: Unravelling a debate on insect cognition

There’s a debate among insect-cognition researchers, but the two camps have been arguing for so many decades that many onlookers are no longer sure what they are arguing about. SFI Postdoctoral Fellow Kelle Dhein, a philosopher and historian, published a paper in Studies in History and Philosophy of Science on February 28, 2023, clarifying the debate, with lessons for philosophers, historians, and scientists alike.

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Phase transitions in big data

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. 

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