Seven workshops delivered online by the Institute for Statistical and Data Science have been contracted for young members of the research team to participate in with the purpose of updating research skills amid emerging technologies and recent methodological breakthroughs:
Workshop on Advanced Methods in Social Network Analysis (January 2026)
Expert: Antonio Zinilli, Senior Researcher and Professor, Research Institute on
Sustainable Economic Growth, National Research Council of Italy (CNR)
Participant on behalf of TEPS Project: Alexandra Cehan
Workshop on Machine Learning for Prediction and Causal Inference (November 2025)
Expert: Melvyn Weeks, Associate Professor of Economics, University of Cambridge
Participant on behalf of TEPS Project: Mihail Eva
Workshop on Thematic Analysis Using NVivo (November 2025)
Expert: Corinne Seals, Associate Dean and Associate Professor, Linguistics and
Applied Language Studies, Victoria University of Wellington
Participant on behalf of TEPS Project: Ema Corodescu-Roșca
Workshop on Nonlinear Structural Equation Modeling (December 2025)
Expert: Dave Armstrong, Director and Professor of Political Science,
Centre for Computational and Quantitative Social Science, University of Western Ontario
Participant on behalf of TEPS Project: Mihail Eva
Workshop on AI-Powered Qualitative Analysis in R (December 2025)
Experts: Kenneth Benoit, Professor of Computational Social Science, Singapore Management University, and Seraphine Maerz
Senior Lecturer in Political Science (Research Methods), School of Social and Political Science, University of Melbourne
Participant on behalf of TEPS Project: Mihail Eva
Workshop on Survey Design and Analysis (January 2026)
Expert: Bert Weijters, Associate Professor, Department of Work, Organisation and Society,
Faculty of Psychology and Educational Sciences, Ghent University
Participant on behalf of TEPS Project: Alexandra Cehan
Workshop on AI Powered Web Apps with R Shiny (November 2025)
Expert: Fodil Ihaddaden, Institute for Statistical and Data Science, Statistics and Data Science Fellow
Participant on behalf of TEPS Project: Mihail Eva