On Thursday, November 18th, 2021, Amy O’Hara joined University of Guelph Associate Professor of Computer Science, Luiza Antonie. Amy and Luiza discussed a system created by her team designed to link historical census databases to identify the same person in multiple census collections. The record linkage system incorporates a supervised learning module for classifying pairs of records as matches and non-matches to perform large scale linkage. Luiza discussed the linkage quality and how this system enables meaningful social science studies.
Luiza Antonie: Luiza Antonie is an associate professor in the School of Computer Science at the University of Guelph. She received her PhD in Computing Science from the University of Alberta with specialization in data mining. Her research interests include record linkage and data integration, associative classifiers and health informatics. She is passionate about interdisciplinary research, with research on historical record linking and gender wage gap analysis. She was a program co-chair for the Canadian Artificial Intelligence Conference in 2021, she was a co-organizer for the Workshop for Women in Machine Learning in 2008, and the founder and co-organizer for the Data Integration and Applications workshops (2014-).