Welcome to the Faculty of Arts, a dynamic community of students, faculty and staff working in and across the humanities, social sciences and creative arts. Our ideas and actions are propelled by curiosity, creativity, and a deep commitment to contribute to a better world.
The Faculty of Arts acknowledges that we live and work on the traditional territory of the Attawandaron (Neutral), Anishinaabeg, and Haudenosaunee peoples. The University of Waterloo is situated on the Haldimand Tract, the land promised to the Six Nations that includes ten kilometers on each side of the Grand River. Learn more about territorial acknowledgement.
For the second time in two years, we’re celebrating Ig Nobel winners in the Department of Psychology. Congratulations to Professor Douglas Brown from the department’s Industrial/Organizational area and his co-authors on winning a 2018 Ig Nobel Prize for their study, Righting a wrong: Retaliation on a voodoo doll symbolizing an abusive supervisor restores justice.
Happy 10th anniversary to the Balsillie School, the site of our unique three-institution partnership advancing global governance and providing unparalleled opportunities for collaboration among faculty, students, and policy practitioners.
Companies should avoid scheduling important work tasks immediately following an election, according to a study from the University of Waterloo.
The Department of Sociology and Legal Studies is pleased to co-host Adam Molnar from Deakin University, Australia. In addition to his CrySP Privacy Series talk, Professor Molnar is giving this two-hour hands-on methods workshop that is open to all - faculty, students, and staff.
In the simple models that economists routinely use to think about the labour market there is no such thing as a “good job”: everyone is paid what they are worth, regardless of whom they work for. In this lecture, Professor Card will review this evidence and discuss the importance of firms’ pay and hiring policies for understanding wage inequality, the gender pay gap, the career profile of wages, and many other phenomena.
Social networks are used to model, gain insight on, and predict important phenomena. What are the strengths and limitations of these models? How can they be used to provide solutions to concrete problems?
