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Open data webinar: Revolutionizing clinical research - Exploring open data initiatives for innovation and impact Celi, Leo Anthony; Fernández, Ariel Leonardo; Pediatric Sepsis Data CoLaboratory

Description

"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 />; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Item Metadata

Title
Open data webinar: Revolutionizing clinical research - Exploring open data initiatives for innovation and impact
Creator
Celi, Leo Anthony; Fernández, Ariel Leonardo; Pediatric Sepsis Data CoLaboratory
Contributor
Trawin, Jessica
Date Issued
2024-01-31
Description
"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 />; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.
Subject
Medicine, Health and Life Sciences; Common data elements; Data science; Artificial Intelligence; Datathon; Data curation; Data management; Big data; Medical informatics; Algorithms; Data aggregation
Type
Dataset
Language
English
Date Available
2024-01-31
Provider
University of British Columbia Library
License
CC BY-NC-SA 4.0
DOI
10.14288/1.0439026
URI
https://doi.org/10.5683/SP3/JWTT7T
Publisher DOI
https://doi.org/10.5683/SP3/JWTT7T
Rights URI
http://creativecommons.org/licenses/by-nc-sa/4.0
Aggregated Source Repository
Dataverse

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CC BY-NC-SA 4.0