Open data webinar: Revolutionizing clinical research - Exploring open data initiatives for innovation and impact

Legacy education and knowledge systems are too inflexible and siloed to keep up with the science and understand the sociology of AI. Datathons are designed to operationalize the multi-disciplinary hive learning that addresses the challenges of AI education and training. In this webinar, speakers discuss data bias and AI and their experience with optimizing reuse of data to advance health research through Datathons.

Presenters: 1. "What's the Fuss about Artificial Intelligence (AI)?" - Speaker: Leo Anthony Celi, Principal Research Scientist, Massachusetts Institute of Technology; Associate Professor of Medicine, Harvard Medical School; Editor-in-Chief, PLOS Digital Health. 2. "SATI-Q Program: 20 Years of History in Quality Benchmarking, Evolution and Future Perspectives" - Speaker: Ariel Leonardo Fernández, Software Developer, Quality Benchmarking Program (SATI-Q), Argentina Society of Intensive Care (SATI).

Data Description: Presentation slides, webinar video - Full (55m), webinar video - Celi (21m), webinar video - Fernández (13m). NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members.

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