Instructors | College of Arts


Digital Humanities at The University of Guelph | College of Arts

Paul Barrett (University of Guelph)

is an Assistant Professor in the School of English and Theatre Studies and Culture and Technology Studies at the University of Guelph. He is the author of Blackening Canada: Diaspora, Race, Multiculturalism and the editor of ‘Membering Austin Clarke. His research is situated at the intersections of Canadia literature, critical race theory, and digital humanities. Paul is co-teaching Distant Reading in Theory and Practice: Computational Approaches to Text Analysis.

Susan Brown (University of Guelph)

is Professor of English and Canada Research Chair in Collaborative Digital Scholarship at the University of Guelph, and Director of THINC Lab. She researches Victorian literature, women’s writing, and digital humanities, and leads the Canadian Writing Research Collaboratory (CWRC) and Linked Infrastructure for Networked Cultural Scholarship (LINCS) projects. Susan is co-teaching Ontologies for Diversity and Getting Going with Scholarship Online: An Introduction to CWRC.

Mihaela Ilovan (University of Alberta)

is the Assistant Director of the Canadian Writing Research Collaboratory. She has 12 years of experience working on different aspects of digital projects, from scoping to implementation. Her interests include the history of human-computer interaction, citation analysis, digital libraries, semantic annotation and user experience In a digital humanities context. Mihaela is teaching

Kim Martin (University of Guelph)

is an Assistant Professor in the History Department and the Associate Director of THINC Lab. Her current research investigates opportunities for serendipity on the semantic web, and she is the Research Board Chair for Linked Infrastructure for Networked Cultural Scholarship (LINCS) project. Kim is co-teaching Ontologies for Diversity.

Deb Stacey (University of Guelph)

is the principal investigator of the Guelph Ontology Team (GOT).  This research group investigates the development, use and analysis of knowledge engineering and machine intelligence techniques particularly ontologies.  GOT™s main theoretical research emphasis is on data-driven ontology evaluation and the development of ontologies for simulation parameters. Deb is co-teaching Ontologies for Diversity.