Exploring the COVID-19 Open Research Dataset
· 44 min · Episode 86
Episode Exploring the COVID-19 Open Research Dataset
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.
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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!
Links in the notes 20
- https://linode.com/changelog
- https://datadan.io
- https://datadan.io/
- https://llwang.net/
- https://github.com/lucylw
- https://www.linkedin.com/in/lucylw
- https://x.com/lucyluwang
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://scholar.google.com/citations?user=REBtJOYAAAAJ
- https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
- https://cord-19.apps.allenai.org
- https://pages.semanticscholar.org/coronavirus-research
- https://allenai.org
- https://practicalai.fm/webinars
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