# Exploring the COVID-19 Open Research Dataset

An episode of [Practical AI](https://invisiblenetwork.ai/podcast/1406537385), 20 Apr 2020, 44 min.

Audio: https://pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/media.transistor.fm/15bb67dd/984ad4ba.mp3

In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis. Sponsors: • Linode – Our cloud of choice and the home of Changelog.com. Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to linode.com/changelog. • AI Classroom – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to datadan.io. Featuring: • Lucy Lu Wang – Website, GitHub, LinkedIn, X • Chris Benson – Website, GitHub, LinkedIn, X • Daniel Whitenack – Website, GitHub, X Show Notes: • Lucy Lu Wang - Google Scholar • Kaggle: COVID-19 Open Research Dataset Challenge (CORD-19) • CORD-19 Explorer • Semantic Scholar | CORD-19 • Allen Institute for AI Upcoming Events: • Register for upcoming webinars here!

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