October 11-13th, 2023 |
Keynote Speaker:Kayte Spector-Bagdady,JD, MBePhoto Credit: Bryan McCullough, Michigan Medicine Communications | Data Sharing for JusticeThursday, October 12th, 8:45am-9:45am Central Time |
Co-Director, Center for Bioethics & Social Sciences in Medicine
University of Michigan Medical School
Kayte Spector-Bagdady is a lawyer bioethicist who is an Assistant Professor of Obstetrics and Gynecology and Co-Director at the Center for Bioethics and Social Sciences in Medicine and at the University of Michigan Medical School. She teaches the Responsible Conduct of Research as well as Research Ethics and the Law and is an Associate Editor of the American Journal of Bioethics.
The overarching goal of Prof. Spector’s work is improving the governance of secondary research with health data and specimens. She has brought in almost $3M in funding as PI of a National Human Genome Research Institute K01 and a National Center for Advancing Translational Sciences R01 to accomplish those goals. Her recent articles have been published in The New England Journal of Medicine, Science, JAMA, and Nature Medicine, and her research or expertise has appeared in the NY Times, The Washington Post, The Wall Street Journal, TIME, and CNN.
Professor Spector was an Associate Director for President Obama’s Presidential Commission for the Study of Bioethical Issues, and is a former Board Member of the American Society for Bioethics & Humanities and practicing FDA law attorney. She graduated from the University of Pennsylvania Law School and School of Medicine.
Plenary Speaker:Alexandre Amar-Zifkin,BA, MLIS | Exploring impacts of automated indexing on completeness of MeSH termsFriday, October 13th, 10:00am-11:00am Central Time The use of controlled vocabulary to identify relevant articles is a central element of bibliographic database instruction in health sciences. Learners are taught that searching with MeSH yields precise results, and that MeSH increases an article's findability and reliably describes an article's contents. Indexing for MEDLINE - the application of MeSH to records - was done completely by human indexers until 2011. Since April 2022, MeSH are assigned via automated, algorithmic indexing (AI). MeSH assigned by AI are based on terms in title, abstract, and terms and indexing of 'neighbouring', related records, with human review and curation of results as appropriate. We ask: how well does AI identify key concepts of an article and represent them in MeSH? |
Librarian
University of Montreal (Université de Montréal)
Alexandre Amar-Zifkin is the librarian for Vision Sciences, Neurosciences and Dentistry at the University of Montreal. From 2013-2022 he was a librarian at the McGill University Health Centre, primarily serving the Montreal Neurological Hospital (with stints at the Allan Memorial, Montreal Children's Hospital and Montreal General Hospital.) Alex has taught many literature searching and citation managing workshops, and is a co-author on several knowledge synthesis papers. This research was performed in collaboration with Taline Ekmekjian, Virginie Paquet, and Tara Landry.
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