News + Events

AI research papers typically report only aggregate results, without the granular detail that will allow other researchers to spot important issues like errors in recognizing certain faces on racial and gender lines. In a new paper, SFI Professor Melanie Mitchell and co-authors explore this problem and suggest solutions. 

A new study co-authored by SFI Complexity Fellow Daniel Muratore takes a close look at the carbon-to-nitrogen ratios in marine microorganisms, with results that may lead researchers to rethink the role of these microorganisms in the oceanic carbon cycle.

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.

SFI is hosting the 10th JSMF–SFI Postdocs in Complexity Conference from March 29–31. The biannual event provides a forum for postdoctoral fellows studying complex systems to share research ideas, develop new career skills, and expand their professional networks.

A March 15-17 working group brought a complex-systems lens to study the paradox of why human societies have increased in intricacy despite the second law of thermodynamics's wisdom that entropy increases over time. 

SFI Sabbatical Visitor Carlos Gershenson, a research professor at the Universidad Nacional Autónoma de México, spends his sabbatical at SFI to finish work on his book Balance.

The specter of information is haunting the sciences. With these words, Wojciech H. Zurek invited fellow scientists to attend the 1989 Santa Fe Institute workshop on which the proceedings volume Complexity, Entropy & the Physics of Information was based. In a two-volume reprint, the SFI Press offers an affordable and accessible update to the original text, with a new preface from attendee Seth Lloyd that contextualizes the significance of this record of a meeting that marked the intersection of information, physics, complexity, and computation.

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's summer undergraduate research program celebrates three decades this year.

SFI External Professor Wendy Carlin (University College London) has received the inaugural RES Medal for Services to the Economics Profession from the Royal Economic Society. 

SFI External Professors Amos Golan, Matthew Jackson, and Doug Eriwn have been named fellows of the American Association for the Advancement of Science (AAAS) for 2022, the association announced on January 31, 2023.

In December 2022, SFI opened applications for its Postdoctoral Fellows to apply for funding through the Lou Schuyler Internal Postdoctoral Research Grant Fund. Now in its second round, the fund offers SFI Postdoctoral Fellows up to $15,000 per grant to explore new areas of research or expand the scope of their current projects. 

Herb Gintis, who drew on a variety of disciplines to study human society, passed away on January 5, 2023, in Northampton, Massachusetts, at the age of 82. He had been an SFI External Professor since 2001 and was a professor emeritus at the University of Massachusetts Amherst, where he taught since 1974.

Science-fiction author Ted Chiang — author of 12 short stories, two novellas, and recipient of 27 major writing awards — joins SFI's Miller Scholars. 

Applications are open through March 15, 2023 for the Complexity–GAINs International Summer School, to be held in Cambridge, UK on August 13-25

Collective Intelligence, a new online open-source journal, launched its inaugural issue this past fall. The editors hope the journal will help stimulate the discovery of the fundamental principles that underlie collective intelligence

Simulations that help determine how a large-scale pandemic will spread can take weeks or even months to run. A recent study in PLOS Computational Biology offers a new approach to epidemic modeling that could drastically speed up the process.

In her latest column for Quanta Magazine, SFI Professor Melanie Mitchell considers the implications of a machine learning technique called “Inverse Reinforcement Learning.”