Want to know how healthy your state’s bridges are? Within days of the Minneapolis bridge collapse, journalists and members of the public discovered that they had a new source of in-depth information. Rather than having to sift through government websites or write freedom-of-information requests–then figure out how to make sense of national data–they turned to a Wikipedia-like source of ready-made data visualizations called Many Eyes, launched in January by IBM’s Visual Communication Lab, based in Cambridge, MA. (See “Sharing Data Visualization.”) Many Eyes isn’t the first or most elaborate data-visualization technology out there, but it’s the first to serve as a public platform for visualization creation, sharing, and critiquing. Helpfully, users posted this state-by-state list of deficient bridges, a visualization of their structural status, and even a visualization of the bridge types most prevalent in the various states. Data sources are provided as a way to confirm accuracy. A tutorial on how to build Many Eyes visualizations can be found here.
Why China is still obsessed with disinfecting everything
Most public health bodies dealing with covid have long since moved on from the idea of surface transmission. China’s didn’t—and that helps it control the narrative about the disease’s origins and danger.
Anti-aging drugs are being tested as a way to treat covid
Drugs that rejuvenate our immune systems and make us biologically younger could help protect us from the disease’s worst effects.
These materials were meant to revolutionize the solar industry. Why hasn’t it happened?
Perovskites are promising, but real-world conditions have held them back.
A quick guide to the most important AI law you’ve never heard of
The European Union is planning new legislation aimed at curbing the worst harms associated with artificial intelligence.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.