Practical AI Exploring the COVID-19 Open Research Dataset
Apr 20, 2020
Lucy Lu Wang, a research scientist at the Allen Institute for Artificial Intelligence, discusses the COVID-19 Open Research Dataset (CORD-19) created to combat the pandemic. She explains its significance in enhancing biomedical research and facilitating collaboration across the globe. The conversation delves into the integration of AI with the medical field, emphasizing the vital role of machine learning in addressing clinical challenges. Lucy also highlights how this crisis has spurred unprecedented cooperation between AI and medical domains, paving the way for future innovations.
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Rapid Publication Growth
- Scientific publications on COVID-19 have increased dramatically since January, exceeding 4,000.
- The daily publication rate continues to grow, now reaching hundreds of new papers each day.
CORD-19 Dataset Scope and Updates
- The CORD-19 dataset includes both historical coronavirus research and new COVID-19 research.
- It is frequently updated, moving from a weekly to a daily cadence to keep up with new publications.
CORD-19 Project Origins
- The CORD-19 project started with a request from the White House Office of Science and Technology Policy in early March.
- Several organizations, including Allen AI, Microsoft Research, and the Chan Zuckerberg Initiative, collaborated on it.