I examine marine conservation policy and governance, from local to global scales. I explore how decisions are made, how science and other kinds of knowledge inform these decisions, how various actors influence decision-making processes, and who benefits (or loses) as a result.
Statistical natural language processing has been actively studied in the field of Artificial Intelligence. My research is mainly focused on applying machine learning methods in Information Retrieval, Text Categorization, Sentiment Analysis, Text Segmentation, Text Summarization, Privacy Policy Analysis, and Text Mining.
My research interests include bullying and cyberbullying, policing, and victimization. I am particularly interested in the ways in which the peer, family, and school contexts influence adolescents' involvement in cyberbullying, and how groups of adults collaborate to prevent and respond to cyberbullying.
My research program is the only one in Canada that integrates economics, hydrology, and GIS to examine the cost effectiveness of landscape conservation programs.
Our program offers an opportunity to work with diverse faculty, develop and apply theory and qualitative, quantitative & mixed research skills and communicate in clear and accessible written, oral and visual forms with and for multiple audiences to affect positive social change.
My current research is examining weather impacts on specialty crop production in Ontario. Historical analysis provides insight into conditions favourable for production, allowing for better...
My ultimate goal is to improve understanding of the complex interplay of factors that impact children’s pain and health to identify best practices for intervention.
