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.
Alex is a computational social scientist who is fascinated by the power of data to increase social participation and civic engagement. He studied in Tübingen (Germany), Geneva (NY), as well as Vancouver (BC), and received training at the University of Essex and European Consortium for Political Research’s summer schools. Currently he is a PhD candidate at Simon Fraser University, where his research focuses on support for Radical Right Parties in Western Europe. Alex’s methodological expertise includes multi-level modelling, network analysis, text-as-data approaches, and research utilizing social media data. He is especially passionate about making his work interesting for (and presenting to) a wide ranging audience.
Regan is a PhD student in Political Science at McMaster University researching political discourse on social media. She holds a BA in Political Science from McGill University and a MSc in International Relations from the University of Glasgow. In addition to working at Vox Pop Labs, Regan is a Doctoral Fellow at the Digital Society Lab at McMaster University. As part of her doctoral program, she received methodological training from the University of Michigan and holds a certificate in Data Analytics, Big Data, and Predictive Analytics from Ryerson University.
Joanna is a PhD student in Political Science at McMaster University, where she is exploring the effects of participation and deliberation on policymaking. She recently finished an MA at Queen’s University, where she was a Research Fellow for the Dean of the Faculty of Arts and Science. She has extensive work experience in policy and participation, and has previously worked at MASS LBP in Toronto, Canada, and The Royal Society of Arts (The RSA) in London, UK.
Jesse has spent his career collecting, aggregating and drawing insights from data for a wide variety of industries and applications. From large public corporations, to small academic labs, he’s built data products and analytical models to inform, optimize and increase understanding. He’s passionate about using his skills to help empower the public to make data driven decisions. He holds degrees at the undergraduate and graduate level in Applied & Engineering Physics.
MiHee is a business operations expert who has managed companies through all stages of growth from a 10-person startup to a large enterprise. She has experience working in various sectors including banking, fin tech, ad tech and cyber security. Most recently, MiHee launched a hedge fund. MiHee holds MBA from University of Toronto and B.Eng in Electrical Engineering from McMaster.
Cara is a dedicated researcher who firmly believes in the civic vocation of the social sciences. In 2016, she graduated from the Munk School of Global Affairs at the University of Toronto, as a Master of Arts in European and Russian Affairs with a collaborative specialization in Jewish Studies. Much of her graduate research was focused on nation-building and ethnic conflict resolution in Europe and the Middle East. Since 2017, she has been enrolled in the Royal Canadian Naval Reserve, and currently holds the rank of Lieutenant.
Sandra helps companies execute their vision of impact within their industry by leading the conception, development and delivery of digital products. With a solid foundation rooted in the financial industry, she has been influential in the digital servicing of the diverse needs of millions of users and institutions with billions in assets under management. These simple, good product principles have translated into a breadth of projects, spanning digital tools for Fund Trading, Charitable Fundraising, Branded Campaigns, Online Learning. Most recently Sandra innovated within the digital channels for Wealth and Online Banking at Meridian Credit Union, and its award-winning, Motusbank. She also led the team which conceptualized and launched Lighthouse Labs’ popular online movement, the 21-Day Coding Challenge in 2018.
Anwar is a blockchain enthusiast and PhD student in Political Science at McMaster University. She holds a BA in Health Policy from York University and a MA in Political Science from McMaster University. Her work has appeared in Canadian Public Policy/Analyse de politiques and The Conversation Canada. Anwar is a Doctoral Fellow at the Digital Society Lab, working in conjunction with Vox Pop Labs. She received training in quantitative methods at the University of Michigan’s ICPSR summer program.
Cliff is a serial innovator working at the intersection of technology, public policy, and data science. He is an assistant professor of political science at McMaster University. He received his PhD from the University of Toronto, where he held a doctoral fellowship from the Social Sciences and Humanities Research Council of Canada. He is a recipient of the Sedra Distinguished Graduate Award and the Clarkson Laureateship for Public Service among numerous other honours. Cliff regularly provides political analysis for media outlets and governments around the world and has been named one of Toronto’s top young innovators as well as entrepreneur of the year by the Toronto Region Board of Trade.
Charles is the Executive Director of the Centre of Excellence on the Canadian Federation at the Institute for Research on Public Policy. Prior to holding this position, he was Research Director at Vox Pop Labs. He holds a PhD in political science from the University of British Columbia and was a SSHRC post-doctoral fellow at Vanderbilt University. Charles is a frequent analyst and expert commentator on Canadian politics and public policy and has published in scientific journals such as the Journal of Politics, Comparative Political Studies and the Canadian Journal of Political Science.
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.
Gregory is an Assistant Professor of Political Science at the University of Copenhagen and the Center for Social Data Science (SODAS). He was a post-doctoral researcher at New York University at the Center for Social Media and Politics (CSMaP) (2017–19), and completed his PhD in at the University of Toronto (2018). His research lies at the intersection of political behaviour, public opinion, social media, and statistical methodology.
Jennifer is a leader in big data analytics, policy research and digital transformation. She currently works with an agency of the Government of Ontario, leading a team of data scientists, psychometricians and researchers. Jen has over a decade of experience in the public and private sectors, producing actionable research and leading data-driven research, evaluation and transformation projects. She holds a doctorate from the University of Toronto, and is a recipient of the Social Sciences and Humanities Research Council of Canada Doctoral Fellowship, the Ontario Graduate Scholarship, and the Trudeau Centre for Peace and Conflict Studies Fellowship.
Alex Shestopaloff is Lecturer in Statistics at Queen Mary University of London and a Fellow of The Alan Turing Institute. He holds degrees in Statistics from the University of Toronto (HBSc, PhD) and was a Research Fellow of The Alan Turing Institute working on Markov Chain Monte Carlo methodology. His interests include Bayesian inference for complex data problems, network science and empirical market microstructure.