https://techcrunch.com/2020/03/16/coronavirus-machine-learning-cord-19-chan-zuckerberg-ostp/

In a briefing on Monday, research leaders across tech, academia, and the government joined the White House to announce an open dataset full of scientific literature on the novel coronavirus. The COVID-19 Open Research Dataset, known as CORD-19, will also add relevant new research moving forward, compiling it into one centralized hub. The new dataset is machine readable, making it easily parsed for machine learning purposes—a key advantage according to researchers involved in the ambitious project.

In a press conference, U.S. CTO Michael Kratsios called the new dataset the “most extensive collection of machine readable coronavirus literature to date.” Kratsios characterized the project as a “call to action” for the AI community, which can employ machine learning techniques to surface unique insights in the body of data. To come up with guidance for researchers combing through the data, the National Academies of Sciences, Engineering, and Medicine collaborated with the World Health Organization to come up with “high priority” questions about the coronavirus related to genetics, incubation, treatment, symptoms and prevention.