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Building a Dataset of Coronavirus Research

by Michael McLaughlin
by
Coronaviruses have halos when looked at under an electron microscope.

A group of researchers led by the Allen Institute for AI have released the COVID-19 Open Research Dataset (CORD-19), which contains more than 29,000 scholarly articles about COVID-19 and the coronavirus family. Researchers can apply AI techniques such as natural language processing to the dataset to generate insights about the pandemic, such as transmission and diagnostic information about COVID-19.

Get the data.

Image: Centers for Disease Control and Prevention

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Michael McLaughlin

Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.

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