A vox pop is a technique used by journalists which consists of interviewing people at random about their views on a given topic, the idea being to represent opinions from a generic cross section of the population. Of course, the number of people interviewed is too small to be a true representation of public opinion.
Our technologies now allow us to survey hundreds of thousands of people in the time it takes a journalist to conduct a single interview. And our statistical models allow us to transform these survey data from anecdotal insights into representative statements about the public.
Cliff is a serial innovator working at the intersection of technology, public policy, and data science. A former software developer and journalist, Cliff is presently a PhD candidate in political science at the University of Toronto, where he has held fellowships with the Munk School of Global Affairs and the Social Sciences and Humanities Research Council of Canada. He is the recipient of the Sedra Distinguished Graduate Award and the Clarkson Laureateship for Public Service. Cliff regularly provides political analysis for media outlets worldwide and was recently named one of Toronto's top young innovators.
Charles holds a PhD from the University of British Columbia and was a Canadian Election Study fellow as well as a SSHRC post-doctoral fellow at Vanderbilt University at the Research on Individuals, Politics & Society Lab. He received training in quantitative methods at the Inter-university Consortium for Political and Social Research at the University of Michigan and at the Stanford Summer Institute in Political Psychology. Before embarking on an academic career, he worked in journalism and was part of several Radio-Canada current affairs shows.
Cara is dedicated researcher who firmly believes in the civic vocation of the social sciences. She is a graduate of the University of Toronto’s Munk School of Global Affairs, and received methodological training at the Inter-university Consortium for Political and Social Research at the University of Michigan. She is a recipient of the Karel and Ellen Buzek Graduate Fellowship, the Rudolf and Rasalie Cermak Graduate Fellowship, and the Joseph and Gisela Klinghofer Scholarship. Cara was previously a Summer Research Intern at the European Academy of Bolzano’s Institute for Minority Rights, and a Company Intern at the Asia Society Philippines.
Mickael is a consummate optimizer, tech junkie, and a firm believer in the power of algorithms to improve our lives. He is a PhD candidate in political science at Laval University, where his thesis explores the digital footprints of public opinion. He obtained his M.Sc. and B.Sc. in Information and Communication Studies from l’Université Catholique de Louvain, and is the recipient of several grants and fellowships, including the Mitacs Accelerate Program Post-Graduate Student Fellowship, the Crop Public Opinion Research Grant, and the Quantitative Methods Training Grant from Laval’s Department of Political Science.
Justin harnesses the power of data to model and predict public opinion. Part of a new generation of quantitative political scientists, he combines a theoretical knowledge of political behaviour to cutting-edge statistical tools. A seasoned communicator, he was previously employed by an Influence Communications firm in Québec city. Justin holds a BA in Economics and a MA in Political Science from Université Laval and is currently a PhD student in Political Science at the University of Toronto. During his studies, he attended Sciences Po and the University of Michigan for its program in Quantitative Methods.
Yannick is an assistant professor of political science at Laval University in Quebec. He holds a PhD from the University of Toronto and received training in quantitative methods at the Inter-university Consortium for Political and Social Research at the University of Michigan. He is the recipient of the Social Sciences and Humanities Research Council of Canada Doctoral Fellowship, the Ontario Graduate Scholarship, and the Ken Bryden Scholarship in Canadian Government and Politics.
Greg is a post-doctoral fellow at NYU at the Social Media and Political Participation Lab. His work seeks to develop and apply statistical and machine learning techniques to the study of social media, political behaviour, and public opinion. Greg received his PhD in political science from the University of Toronto, where he was the recipient of the Canada Graduate Scholarship from the Social Sciences and Humanities Research Council of Canada.