Semra Sevi

Assistant Professor of Political Science, University of Toronto

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Welcome to my website! I am an Assistant Professor in the Department of Political Science at the University of Toronto, St. George Campus.  I am cross-appointed with the Munk School of Global Affairs and I am also a Faculty Fellow at the Schwartz Reisman Institute for Technology and Society.

Previously, I was a Banting postdoctoral fellow in the Department of Political Science at Columbia University. I received my PhD in Political Science from l’Université de Montréal and my Honours BA and MA from the University of Toronto.

My research interests include political behaviour, representation, public opinion, electoral institutions, women and politics, and Canadian politics. Most of my work is experimental. However, I also make use of surveys, interviews, and close observation.

My dissertation, What Voters Want: Identifying Voter Preferences for Candidates, examines voters decisions of whom to support. I focus on the following candidate characteristics: gender, age, occupation and incumbency. To address these questions, I built an original database of candidate-level observations for elections since 1867 in Canadian federal elections–the largest collection of this kind (downloaded on Dataverse nearly 4,000 times). The database includes variables for unique id (which standardizes candidates names across time), names of candidates, riding names, unique identification number for each riding, province, date of birth, gender, occupation, occupation categories, party affiliation, party categories, switchers, incumbency status, vote shares, raw votes, indigenous origins, candidates who identify as a member of the LGBTQ2+ community and so on. Here is more information about the data. You can find my dissertation here, which is comprised of six articles – all of which are published. I was awarded the 2022 SSHRC Impact Award in the Talent Category in part for my dissertation.

Some ongoing projects include:

Chatbot Voting Advice Applications Inform But Seldom Sway Young Unaligned Voters (with Yamil Velez and Donald P. Green). Working Paper.

Can AI Help Reduce Prejudice? Evaluating the Effectiveness of AI-Powered Personalized Persuasion on Support for Transgender Rights (with Charles Crabtree, John Holbein and Mitchell Bosley). Working Paper.

AI Weakens, But Does Not Strengthen, Political Attitudes (with Can Mekik). Working Paper.

A Meta-Reanalysis of a Decade of Candidate Choice Conjoint Experiments (with Alexander Coppock, Matthew Blyth and Marco M. Aviña)

Gender and Political Representation

Preferences for Electoral Outcomes (with André Blais)

Mentoring: As the first person in my family to attend university, I know how challenging it can be to navigate higher education. If you are a first-generation, low-income student seeking mentorship, please feel free to reach out using this form.

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