SFI External Professor Ross Hammond and collaborators have developed a new agent-based computer model that helps policy-makers simulate multiple variations for re-opening. It can incorporate critical factors in determining how to contain COVID-19, such as variations in age, contact networks, activity patterns, and likelihood of infection.
Transmission T-035: Amos Golan on info-metrics for modeling and inference with complex and uncertain pandemic information
We must use a modeling approach to COVID-19 data that will yield the least biased inference and prediction.
When thinking about reopening schools, an important factor to consider is the rate of community transmission.
Human cognition and cultural norms have changed the composition of human portraits, according to a new analysis of European paintings from the 15th to the 20th century. The study, led by SFI Omidyar Fellow Helena Miton, examined "bias" in 1831 paintings by 582 unique European painters.
Swing voters, swing stocks, swing users: Scientists develop a general technique for identifying swing components
A new technique could help identify prime candidates for changing election outcomes, or lead to a better understanding of how institutional and environmental factors shape the emergence of social structure.
External Professor Emeritus Constantino Tsallis and his colleague describe a single function that accurately describes all existing available data on active COVID-19 cases and deaths—and aims to predict forthcoming peaks.
On April 15, SFI hosted a flash discussion that focused on human behavior, incentives, and beliefs. The overarching message was that the financial and social fallout of the pandemic, while difficult to predict, will largely depend on actions at individual, community, and institutional levels.
Study: ‘Near-unliveable’ heat for one-third of humans within 50 years if greenhouse gas emissions are not cut
Areas of the planet home to one-third of humans will become as hot as the hottest parts of the Sahara within 50 years, unless greenhouse gas emissions fall, according to research by an international research team of archaeologists, ecologists, and climate scientists. The study, which was published in the Proceedings of the National Academy of Sciences this week, resulted from a 2018 SFI working group on climate change and the human "niche." It finds that rapid heating would mean that 3.5 billion people would live outside the temperature and humidity combinations in which humans have thrived for 6,000 years.
SFI welcomes Omidyar Fellow Anjali Bhatt, who holds an AB in physics from Harvard University and is completing a PhD in organizational behavior at Stanford Graduate School of Business, and blends organizational and cultural theories, which are grounded in sociology, with the mathematical models of evolutionary biology and the quantitative tools of computational linguistics.
SFI welcomes Progam Postdoctoral Fellow Jonas Dalege, who holds a PhD in psychology as well as a BSc and MSc from the University of Amsterdam and will work with SFI Professor Mirta Galesic and External Professor Henrik Olsson to develop a unifying theoretical framework that integrates two approaches to understanding our ability to develop and maintain beliefs.
SFI welcomes Program Postdoctoral Fellow Natalie Grefenstette, who holds a PhD in prebiotic chemistry from University College London and is working with Professor Chris Kempes on a NASA-funded Agnostic Biosignatures project.
SFI welcomes Omidyar Fellow Andrés Ortiz-Muñoz, who holds a BS in mathematics and physics from the University of Texas at El Paso and is completing a PhD in biology at CalTech.
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.
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.
Despite the near-universal assumption of individuality in biology, there is little agreement about what individuals are and few rigorous quantitative methods for their identification. A new approach may solve the problem by defining individuals in terms of informational processes.