Max Barranti has has been introducing students to the R language for the past 2 years and has over 6 years of experience teaching statistics.
Stéphane Côté is Professor of Organizational Behaviour and Director of the PhD program at the Rotman School of Management at the University of Toronto. He received his PhD in organizational psychology from the University of Michigan. He studies how emotional intelligence can enhance employee well-being and performance, and how social class and economic inequality relate to prosocial and ethical behavior. He serves on the editorial boards of the Administrative Science Quarterly, Academy of Management Journal, and Personnel Psychology, and has served as Associate Editor of Emotion. He is an elected Fellow of the Association for Psychological Science, Society for Personality and Social Psychology, and International Association for Applied Psychology. He teaches The Socially Intelligent Manager in the MBA program and seminars on organizational behavior and research methods in the PhD program.
Fedor Dokshin is an Assistant Professor of Sociology at the University of Toronto. His research interests are in the areas of political sociology, organizations, and social networks. In his work, Fedor uses computational approaches for collecting and analyzing data from novel sources including digital trace data, large-scale text data, and large-scale administrative datasets.
Alicia Eads is a postdoctoral researcher in sociology at the University of Toronto. She uses computational and qualitative methods to understand how cultural meaning affects economic and political processes. This work contributes to cultural sociology and institutional perspectives, as well as economic and financial sociology.
Ethan Fosse received his PhD in sociology from Harvard University. Prior to coming to Toronto, he worked as a Postdoctoral Research Associate at Princeton University in the Department of Sociology and Department of Politics, where he designed and implemented a series of open-source statistical programming workshops. He currently teaches courses on social change, quantitative methods, and age-period-cohort (APC) models. His research has been published in a number of volumes and journals, with recent work appearing in Demography, Sociological Science, and the Annual Review of Sociology. Currently he is writing a book on APC methods titled Models of Social Change: Methods and Principles of Age-Period-Cohort Analysis (co-authored with Christopher Winship). He is also the co-editor of a widely-reviewed book on culture and poverty published by Harvard University Press.
Ping-Chun Hsiung has carried out ethnographic fieldwork, interviews, and archival research to advance knowledge and theory in gender studies and qualitative research at local and international levels. Her work challenges the dominant paradigms in qualitative social sciences by unearthing, recognizing, and analyzing research traditions that vary from the western norm. She has decades of experiences publishing and teaching about qualitative interviewing. She has developed an open access online resource called Lives & Legacies: A Guide to Qualitative Interviewing to facilitate the teaching and research of qualitative interview worldwide.
Craig M. Rawlings is Assistant Professor of Sociology at Duke University, and a member of the Duke Network Analysis Center. He is writing a book of the same name as the workshop with James Moody, Daniel McFarland, and Jeffrey Smith. He has taught Social Network Analysis at the graduate level at Duke and the University of California, Santa Barbara.
Ashley Rubin is an interdisciplinary scholar with a long-standing interest in multiple research methods. She has more than six years of experience publishing and teaching about qualitative methods and is the author of the book Rocking Qualitative Social Science: An Irreverent but Practical Guide to Rigorous Research (forthcoming with Stanford University Press).
Ulrich Schimmack received his PhD in psychology from the Free University Berlin, Germany, in 1997, and he has been a professor of psychology at UTM since 2000. He learned structural equation modeling 30 years ago and has used it in numerous publications to model measurement error in measures of personality, attitudes, mood, well-being, and the diagnosis of attention-deficit disorder. He has also have applied structural equation modeling to cross-section, longitudinal, and dyadic data.
Amanda Sharples is a currently an Assistant Professor, Teaching Stream, CLTA, in the Psychology department at the University of Toronto, St. George campus. Her research focuses on the relationship between intergroup contact and prejudice in daily life. Professor Sharples has over six years of experience using multilevel modelling, including multilevel mediation and structural equation modelling, and she has taught a statistics courses at both the graduate and undergraduate level.