What We're Reading

COVID-19 is "the perfect storm for the diffusion of false rumor and fake news," and analysts are tracking the misinformation in hopes of curbing its spread.

Despite physical isolation, MIT mathematicians in the Simons Collaboration on Arithmetic Geometry, Number Theory and Computation have built a one-stop portal to online talks around the world.

The institute's various open-source algorithms to analyze neural signals are discussed, including SpikeForest, which is described in a May 19 paper published in eLife.

Two Northeastern University journalists describe how the political right seized on a preprint, criticized by many scientists as flawed, that claimed COVID-19 wasn't that deadly.

Ubiquity of social media has made it easier to spread or even create COVID-19 falsehoods, making the work of public health officials harder.

Could one test be used to deduce the infection status of five people? Engineers and computer scientists consider whether algorithms using sampling and probability techniques could supercharge COVID-19 testing.

According to new "hyper-realistic" computer simulations, powerful supernovae could be flinging stars into our galaxy's outer halo.

A major finding in particle physics reminds us of the importance of robust preliminary results — and paves the way for more exciting discoveries.

As scientific meetings are cancelled worldwide, researchers are rethinking how they network — a move that some say is long overdue.

In a scathing editorial, H. Holden Thorp argues that the Trump administration's distortion and denial of science almost certainly contributed to the federal government's sluggish response to the coronavirus threat.