Anuška Ferligoj is a Slovenian mathematician whose work in network analysis research is internationally recognized. Her interests include multivariate analysis (constrained and multicriteria clustering), social networks (measurement quality and blockmodeling), and survey methodology (reliability and validity of measurement). She is the Fellow of the European Academy of Sociology, the Professor of Multivariate statistical methods at the University of Ljubljana, and the head of the graduate program on Statistics at the University of Ljubljana. She is also editor of the journal Advances in Methodology and Statistics (Metodoloski Zvezki) since 2004 and is a member of the editorial boards of the Journal of Mathematical Sociology, Journal of Classification, Social Networks, Statistic in Transition, Methodology, Structure and Dynamics: eJournal of Anthropology and Related Sciences.
Stanley Wasserman (PhD in Statistics, Harvard) is an American statistician and Rudy Professor of Statistics, Psychology, and Sociology at Indiana University Bloomington. He is known as author of the famous book on social network analysis – “Social Network Analysis: Methods and Applications” and as developer and editor of journal “Network Science”.
Deputy First Vice Rector, Laboratory Head of the International laboratory for Applied Network Research, Programme Academic Supervisor: Applied Statistics with Network Analysis, Assistant Professor at the Faculty of Social Sciences / School of Sociology
Valentina Kuskova (PhD, Indiana University) is an assistant Professor at the Faculty of Social Sciences / School of Sociology. She teaches the courses “Social Network Analysis” at Master’s programs on Comparative Social Research and Population and Development. She is the head of the International laboratory for Applied Network Research, which is the developer of the Master’s program of Applied Statistics with Network Analysis.
Professor of Discrete and Computational Mathematics, Department of Mathematics and Institute of Mathematics, Physics and Mechanics, Department for theoretical computer science, University of Ljubljana
Vladimir Batagelj is a Slovenian mathematician who works mainly in data analysis, discrete mathematics, combinatorial optimization and applications of IT in education. He is Professor of Discrete and Computational Mathematics at the University of Ljubljana. Together with Andrej Mrvar since 1996 he has been developing “Pajek”, a software tool for analysis and visualization of large networks.
Assistant Professor, Faculty of Computer and Information Science, University of Ljubljana
Erik Štrumbelj (PhD, University of Ljubljana) is an Assistant Professor at the Faculty of Computer and Information Science of the University of Ljubljana. His research and professional work lies in the field of probability, statistics, machine learning, and applications of these methods to interesting practical problems that require such data analysis and modelling. He is especially interested in Markov and other stochastic processes, Monte Carlo methods, Bayesian statistics, and the use of quantitative methods in sports (player evaluation, simulation, statistical analysis, forecasting).
Janez Demšar (PhD of the University of Ljubljana) is an Professor at the Faculty of Computer and Information Sciences of the University of Ljubljana. The main research activity is in the field of machine learning, data mining and data visualization. He is the developer of the component-based system of learning and working with data "Orange" and participator in the creation of an AI-assistant for research activities with genetic networks.
Ajda Prentar is a researcher at the Faculty of Computer and Information Sciences of the University of Ljubljana. Specializes in the use of machine learning in the field of computational social sciences. Trainer of the practical course on working with data in the "Orange" software.
Doctor of Science (Mathematics), Eötvös Loránd University; Doctor of Science (Sociology), Candidate of Science (Mathematics), Hungarian Academy of Sciences (Centre for Social Sciences); Affiliate Professor, University of Washington
Tamas Rudas is a Hungarian sociologist and mathematician at Eötvös Loránd University and Hungarian Academy of Sciences, whose research interests lies in multivariate statistics, analysis of categorical data, survey methodology, and applied statistics. He is an Elected Fellow of the European Academy of Sociology and Past President of the European Association of Methodology. Besides that, he has held visiting positions at the universities of Pennsylvania, Toledo, Princeton, Mannheim, Toronto, Graz, Erfurt, Ljubljana, and Washington.
Doctor of techical sciences, professor at the Graz University of Technology.