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

"Revolutionizing clinical research: Exploring open data initiatives for innovation and impact" an open data webinar hosted by the Pediatric Sepsis Data CoLaboratory.<br />

<br />Given how pervasive (and complex) Artificial Intelligence (AI) I is going to be, it is unlikely that a few organizations can truly regulate the technology. Its oversight will require everyone pitching in. That, in turn, requires everyone having some basic understanding of how AI is developed, and more importantly, the risks associated with its use. But how do we build capacity in a field that is moving at warped speed? There will be no individual experts in the field, only collective wisdom. 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.<br />

<br /><strong>Presenters:</strong>
<br />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.<br />

<br />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). <br />

<br /><strong>Data Description:</strong> Presentation slides, webinar video - Full (55m), webinar video - Celi (21m), webinar video - Fernández (13m). <br />