New Members Appointed to the Panel on Research Ethics
July 19, 2024
The Panel on Research Ethics (PRE) is pleased to welcome three new members. Drawn from across the country, each of these accomplished individuals brings a fresh perspective on the ethics of human research in Canada. The breadth of their combined experience will advance PRE's ongoing work on policy initiatives. Chaired by Dr. Conrad Fernandez, PRE develops, interprets, and supports education around the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans or "TCPS (2022)", on behalf of Canada's three federal research agencies – CIHR, NSERC and SSHRC.
The following PRE members were appointed by the Presidents of the Agencies:
- Ma’n Zawati (effective January 2, 2024) an Associate Professor at McGill University’s Faculty of Medicine and the Research Director of the Centre of Genomics and Policy in the Department of Human Genetics. Dr. Zawati brings a wealth of experience and knowledge on the legal, ethical and policy dimensions of health research and clinical care, with a special focus on data sharing, governance, professional liability, and the use of novel technologies (e.g., mhealth apps, WGS, WES).
- Edwin Laryea (effective June 1, 2024) is a former Lecturer at University of Toronto, a former Department Head of Languages at Bluevale Collegiate, former Vice-Principal and Assistant Supervisor/Principal of International Languages for the Waterloo Region District School Board. Dr. Laryea is a community advocate and brings an extensive background in community research, and a strong belief in social justice and equitable outcomes for all.
- Marc Joanisse (effective June 1, 2024) is a Professor at the University of Western Ontario in the department of Psychology and the Western Institute for Neuroscience, and is also the Associate Dean Research in the Faculty of Social Science. Dr. Joanisse brings a wealth of experience and knowledge of the neurocognitive bases of language and reading, and he has worked extensively with computational techniques, including neural network models, machine learning classifiers, growth curve modeling and linear mixed effects models.
Please visit the Panel on Research Ethics web site for additional information on current PRE membership.
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