hen the Global Health Organization officially declared the spread of COVID-19 as a global pandemic in the first quarter of 2020, the rush to respond to the crisis by both governmental and private organizations made it difficult for an individual or a small-business owner to sort through information. What became abundantly clear for public safety was that stay-at-home and lockdown orders were needed to bend the curve or slow transmission. However, this also created a large strain on businesses, whose doors would have to be closed, and the economic impact was expected to be devastating. Data scientists were called on to assist in the recovery and relief efforts on several fronts. One well-known effort came from the White House, which, along with other research teams, assembled the COVID-19 Open Research Data set (CORD-19) consisting of more than 400,000 scholarly articles related to coronaviruses. In this case, data scientists were asked to help build machine learning tools to efficiently extract useful findings from this large corpus of text documents.