What we read this week (18 January)

Welcome to Things we read this week, a weekly post featuring articles from around the internet recommended by BMJ Labs.


Open Data



  • John Thornhill talks to Vivienne Ming, a theoretical neuroscientist, entrepreneur and artificial intelligence guru about her work in trying to make technology work for the benefit of humans on the FT Tech Tonic podcast.
  • The blockchain backlash begins, McKinsey on Blockchain’s Occam problem and its struggle to move projects out of Proof of Concept mode. We’re looking forward to what ALPSP have to say in their upcoming blockchain seminar.
  • Screens might be as bad for mental health as… potatoes “In the latest issue of Nature Human Behavior, Przybylski and coauthor Amy Orben use a novel statistical method to show why scientists studying these colossal data sets have been getting such different results and why most of the associations researchers have found, positive and negative, are very small—and probably not worth freaking out about.”

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