News + Events

SFI welcomes Program Postdoctoral Fellow George Cantwell, who is completing his PhD in physics at the University of Michigan and recently tackled one well-known flaw in network modeling that has persisted since the 1930s, and who will be working with SFI Professor Cris Moore.

Research News Briefs highlight new studies from the SFI community published in the last quarter. The following briefs appeared in SFI's Spring 2020 Parallax newsletter. 

The concept of the extended phenotype provides a way to circumvent Landauer’s bound.

Forecasting ambiguity is inevitable in exponential growth processes that underlie epidemics.

COVID-19 lockdowns provide a once-in-a-lifetime opportunity to study wildlife in empty cities. 

Mechanism design can aid the market in meeting extraordinary needs under unusual circumstances.

Policies for responding to pandemics should be rooted in a scientific understanding of cities. 

Ole Peter's "The ergodicity problem in economics" recieved an Altmetric score over 1,000 in April, 2020, making it the highest-scoring paper in the journal Nature Physics.

Robert McCredie May, OM, the Lord May of Oxford, and a leading figure of theoretical ecology, died on April 28, 2020. Bob, as he was known to his many friends and colleagues, was 84 years old.

R₀ is just an average: the transmission rate varies widely, and outbreaks can be surprisingly large even when the epidemic is subcritical. 

To make good decisions under uncertainty, decision-makers must act creatively to avoid paralysis, while recognizing the possibility of failure.

https://santafe.edu/people/profile/david-krakauerTest kits cannot exponentiate at the same rate as the virus. Unless we ramp up to 500K, the curve will flatten due to artifact.

The archaeological record can teach us much about cultural resilience and how to adapt to exogenous threats.

Exercise is a complex medicine that can make seniors less susceptible to frailty, and thus to COVID-19. To help the medicine go down, we need a systematic approach to improving the one technology that we know keeps people on task.

What happens when the instruments we use to make rigorous scientific predictions operate in ways that we cannot comprehend with natural cognition? In a recent essay published in Aeon, SFI President David Krakauer takes a philosophical deep dive into this fascinating and pressing question.

The U.S. is likely to see a near-term 24% drop in employment, 17% percent drop in wages, and 22% drop in economic activity as a result of the COVID-19 crisis according to a new study co-authored by SFI External Professor Doyne Farmer at the University of Oxford. These impacts will be very unevenly distributed, with the bottom quarter of earners at risk of a 42% loss in employment and bearing a 30% share of total wage losses. In contrast, the study estimates the top quarter of earners only risk a 7% drop in employment and an 18% share of wage losses.

There’s no free lunch when it comes to making predictions about the COVID-19 pandemic.

Common-sense estimates provide quantitative ways to think about the economic impact of COVID-19 in Italy.

Complexity science and computer algorithms can help us address privacy concerns that arise with the pandemic.

American higher education must think outside the academy in a post-pandemic world.