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Harvard chemist arrested for concealing ties to China + What is it to be Bayesian?

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Prominent Harvard chemist arrested for concealing ties to China
https://www.the-scientist.com/news-opini...hina-67037

INTRO: Charles Lieber, chair of the department of chemistry and chemical biology at Harvard University, has been arrested and charged with one count of making a false statement to federal authorities, according to a Department of Justice press release published January 28.

“Unbeknownst to Harvard University beginning in 2011, Lieber became a ‘Strategic Scientist’ at Wuhan University of Technology (WUT) in China and was a contractual participant in China’s Thousand Talents Plan from in or about 2012 to 2017,” the justice department statement says. At the same time, he also received funding from US federal agencies, including the National Institutes of Health (NIH) and Department of Defense, which require researchers to disclose if they receive aid from foreign governments or foreign entities. Lieber did: In connection with the Chinese programs, he received $50,000 USD per month, living expenses of up to 1,000,000 Chinese Yuan (approximately $158,000 USD at the time), and more than $1.5 million to establish a research lab at WUT. Neither Harvard nor the federal agencies were aware of the connection or payments until the NIH started to inquire about Lieber’s ties to China.

The charges are “extremely serious,” Jonathan Swain, a spokesman from Harvard University, tells The New York Times. In addition to Lieber’s arrest, the justice department also released the names of two other researchers, both Chinese nationals, who had been charged on Tuesday in connection with aiding China... (MORE)



What is it to be Bayesian? The (pretty simple) math modelling behind a Big Data buzzword
https://aeon.co/videos/what-is-it-to-be-...a-buzzword

INTRO: If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet revolutionary concept at the core of both machine learning and behavioural economics. As this video from the YouTube channel 3Blue1Brown skilfully explains, at its most basic, Bayes’s theorem is a tool for assessing degrees of probability based on prior conditions. And there are ways to make it altogether more intuitive than the statistical formulas might suggest. Although the theorem dates back to its 18th-century namesake, the English statistician and philosopher Thomas Bayes, it has gained increasing relevance in the Big Data revolution. (MORE - video)


https://www.youtube-nocookie.com/embed/HZGCoVF3YvM
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