IN THE NEWS: Predicting pandemic impacts, Ticketmaster’s ‘Bad Blood’ and AI in education

In recent media appearances, Brock experts discussed an algorithm for tracking COVID-19 cases, Ticketmaster’s latest scandal, artificial intelligence (AI) use in post-secondary education, how working memory impacts learning and Canada’s evolving cannabis market.

Canada home to health research successes, but needs culture shift: expert: Assistant Professor of Mathematics and Statistics Pouria Ramazi was featured in a Canadian Press story about his research to develop an algorithm that can predict COVID-19 cases and deaths up to 10 weeks in advance. The story also ran in publications such as The Vancouver Sun.

Ticketmaster changes Taylor Swift ticket transfer rules amid reported ticket thefts: Associate Professor of Information Systems Francine Vachon spoke to CBC News and CBC Radio about Ticketmaster’s new operating procedures after Taylor Swift tickets were incorrectly transferred away from fan accounts.

EdTech, AI and platform capitalism in the classroom: Assistant Professor of Educational Studies Rahul Kumar spoke to rabble.ca about the rise of education technology and AI and their impact in college and university classrooms

Working memory: education’s unfinished revolution: Associate Professor of Psychology Karen Campbell spoke to TES Magazine about the role of working memory in learning.

Changes to medical cannabis legislation post-legalization: Associate Professor of Operations Research Michael Armstrong spoke to Newstalk 610 CKTB about the impacts on medical cannabis use since recreational cannabis use was legalized.


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