Joshua A. Tucker is Professor of Politics, affiliated Professor of Russian and Slavic Studies, and affiliated Professor of Data Science at New York University. He is the Director of NYU’s Jordan Center for Advanced Study of Russia, a co-Director of the NYU Social Media and Political Participation (SMaPP) laboratory, and a co-author/editor of the award-winning politics and policy blog The Monkey Cage at The Washington Post. He serves on the advisory board of the American National Election Study, the Comparative Study of Electoral Systems, and numerous academic journals, and was the co-founder and co-editor of the Journal of Experimental Political Science.

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Liberty Vittert is currently a Visiting Assistant Professor at Washington University in St. Louis and on leave from her position at the University of Glasgow as the Mitchell Lecturer. Her current statistical research involves using facial shape analysis to help children with facial deformities. Liberty is a regular TV and Radio contributor to many news organizations including BBC, ITV, Channel 4, PBS, and FNC, as well as having her own TV series on STV (ITV).

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Stefan Schweinfest was appointed Director of the Statistics Division (UNSD/DESA) in July 2014. Under his leadership, the Division compiles and disseminates global statistical information, develops standards and norms for statistical activities including the integration of geospatial, statistical and other information, and supports countries' efforts to strengthen their national statistical and geospatial systems.

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Dr. Lloyd Edwards is Professor and Chair of Biostatistics at the University of Alabama at Birmingham. Dr. Edwards has an extensive background in collaborating with researchers in a broad range of areas in biomedical research, including cardiovascular disease, cystic fibrosis, cancer, aging, pediatrics, and minority health. His primary area of applied statistical research relates to the analysis of longitudinal data. Specifically, his statistical research includes derivation of techniques for computation of power, control of Type I error, and measuring model fit in linear and generalized linear mixed models.

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