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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.

Well-mixed models do not protect the vulnerable in segregated societies.

Pandemics rapidly reshape the evolutionary and ecological landscape and have cascading social, economic, and other system-level effects.

The countervailing pressures of economic pain and disease containment are keeping the COVID-19 pandemic at a noisy equilibrium.

The COVID-19 pandemic offers an opportunity to out-evolve the virus by evolving our own scientific ingenuity and social practices.

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. 

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.

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.