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.
COVID-19 is changing fundamentally the way we talk about the economy, SFI's Wendy Carlin and Sam Bowles argue in an op-ed for the Financial Times.
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.
It is important to keep in mind that as agents we maintain bottom-up control, even if we lack decisive power.
Beyond our response to the pandemic itself lie the longer-term effects, including new opportunities — social, political, economic, and otherwise.
The current spike in public trust in science gives science communicators an opportunity to reach new audiences.
This time of disruption is also one of opportunity.
A complex systems perspective of viruses offers insight for controlling SARS-CoV-2 and future emerging viruses.
Typical recession and recovery economic behavior offers great stock market buying opportunities.
In their op-ed for STAT, former SFI postdoctoral fellow Laurent Hébert-Dufresne (University of Vermont) and current postdoc Vicky Chuqiao Yang, Complexity Postdoctoral Fellow and Peters Hurst Scholar, argue that if scientists hope to develop better epidemiological models, they must grasp the complex interplay between social behavior and disease.
Physical distancing is necessary for reducing infections, but the timing of restrictive confinement makes all the difference.
Transmission T-005: Andrew Dobson on the Need for Disease Models which Capture Key Complexities of Transmission
The disease models used to guide policy for the COVID-19 pandemic must capture key complexities of transmission.
SFI External Professor Joshua Epstein states the contagion of fear is as significant to the current pandemic as the novel coronavirus itself.
By using transmission to our advantage, we can eliminate coronavirus through citizen-based medicine.
Group size matters when it comes to how many people should gather in one place. Let's use mathematical models to pin down consistent guidelines for complicated situations.