Technology, Science, and Government vs. COVID-19

Technology, Science, and Government vs. COVID-19

There was a briefing on Monday. The researchers from the government, academia, and tech joined the White House. They announced an open data set full of scientific literature on the novel coronavirus. The Open Research Dataset of CORD-19, known as COVID-19, is to add relevant new research and move forward. As a result, it will compile into one centralized hub. Making it easily parsed for machine learning purposes, the latest data set is machine-readable. According to researchers involved in the ambitious project, it is a crucial advantage.

Michael Kratsios the United States CTO. In the press conference, he said that the new data set is the most extensive collection of machine-readable coronavirus literature to date. Moreover, the project became characterized as a “call to action” for the artificial intelligence community by the Kratsios. The action could employ machine learning techniques for surfacing unique insights into the body of data. National Academies of Medicine, Engineering, and Sciences collaborated with the WHO (World Health Organization) to come up with the high priority questions. Consequently, the questions were about coronavirus related to prevention, symptoms, treatment, incubation, and genetics.

The White House Office of Science and Technology policy today announced the partnership. Additionally, it brings together the Kaggle Artificial Intelligence platform, Georgetown University’s Center for Security and Emerging Technology, the National Institutes of Health’s National Library for Medicine, the Allen Institute for Artificial Intelligence, Microsoft Research, and the Chan Zuckerberg Initiative.

In the database, around 30,000 scientific articles about the virus called SARS-CoV-2 exists. It also includes related infections in the broader coronavirus group. About half of those articles make the full text available. Moreover, and crucially, the database consists of pre-publication research from bioRxiv and medRxiv. The open-access is for the pre-print biology and health sciences research.


Cori Bargmann is the Chan Zuckerberg Initiative Head of Science. He said, that sharing vital information across medical and scientific communities is essential to accelerating our ability to respond to the coronavirus pandemic.

The Initiative of Chan Zuckerberg hopes that the community of machine learning will be able to be helpful. The science community wants to connect dots on some of the enduring mysteries about the novel coronavirus. Furthermore, scientists are pursuing knowledge around a vaccine, treatment, and prevention.

The Chan Zuckerberg initiative wants to track new research on a dedicated page on Meta, for updating to the COVID-19 data set. Hence, a dedicated page on Meta is the engine of the research engine the organization acquired in 2017.

The COVID-19 data set announcement will most probably roll out more smoothly, then the White House’s last attempt. The previous attempt was with a coronavirus-related partnership with the tech industry. Last week, the White House was under criticism. The criticism came because of the United States President’s announcement. Moreover, he said that Google would build a dedicated website for COVID-19 screening. Verily was developing a site. Verily is the Alphabet’s life science research group. It intended to serve California residents, beginning with Santa Clara and County. (Alphabet: the parent company of Google).