White House Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset
Sunday, March 22, 2020
The White House issued a call to action to the Nation’s artificial intelligence experts to develop new text and data mining techniques that can help the science community answer high-priority scientific questions related to COVID-19.
Researchers should submit the text and data mining tools and insights they develop in response to this call to action via the Kaggle platform.
Requested by The White House Office of Science and Technology Policy, researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health released the COVID-19 Open Research Dataset (CORD-19) of scholarly literature about COVID-19, SARS-CoV-2, and the Coronavirus group.
The dataset represents the most extensive machine-readable Coronavirus literature collection available for data and text mining to date, with over 29,000 articles, more than 13,000 of which have full text.
Click below to read the full statement from the White House