Adam Mickiewicz University
Tomasz Górecki is a professor at the Department of Mathematical Statistics and Data Analysis, Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań. His main research interests include methods of artificial intelligence, machine learning and time series analysis and their applications. He is the author of over 80 scientific papers and 3 books. R-programmer & Python (more than 15 years of experience) and data scientist.
Stanford University
Michal Kosinski is an Associate Professor in Organizational Behavior at Stanford University Graduate School of Business. He studies humans in a digital environment using cutting-edge computational methods, AI and Big Data. With over 90 peer-reviewed papers in leading journals, he is among the top 1% of Highly Cited Researchers according to Clarivate. Professor Kosinski was behind the first press article warning against Cambridge Analytica. His research exposed the privacy risks that they have exploited and measured the efficiency of their methods. Recently, he has explored the problem of personality traits possible to predict from naturalistic facial images. During our event, the Professor will give a speech regarding the prediction of personality traits on the basis of social media data and its implications for proxy discrimination.
Maastricht University
Monika Leszczyńska is Assistant Professor of Empirical Legal Research and a Marie Skłodowska-Curie Fellow the Maastricht University Faculty of Law, Netherlands. She received her PhD in law from University of Bonn (Germany). In her research, she studies how contract law interacts with individual contractual behavior. Specifically, she focuses on how people approach the making of a contract and its performance and what this behavior means for our understanding of contract law. To answer her research questions, she uses a variety of empirical methods such as behavioral experiments, vignette studies as well as systematic content analysis and computational methods.
International Self-Report Study of Delinquency
Professor Ineke Haen Marshall specializes in the study of comparative criminology, minorities and crime, self-report methodology, juvenile delinquency and criminal careers. Her current research focuses on cross-national surveys of juvenile delinquency. She is the chair of the Steering Committee of the International Self-Report Study of Delinquency (ISRD), an international collaborative study with participants from over 50 countries. She also serves on the editorial board of several international and national journals, and she is the inaugural Editor-in-Chief of International Criminology, the official publication of the Division of International Criminology of the American Society of Criminology.
University of Gothenburg
Michal Ovádek is a postdoctoral researcher at the Department of Political Science, University of Gothenburg. As part of the IUROPA project, he is currently conducting research on European judicial politics. Previously, he was a political advisor in the European Parliament and a research fellow at KU Leuven. Most of his research addresses different aspects of the interplay between law and politics, frequently in the context of the European Union. He maintains the eurlex R package for accessing data on European Union law.
European Union Agency for Fundamental Rights
Dr. David Reichel has been working for almost two decades with human rights related data in an international context. He works as a project manager at the European Union Agency for Fundamental Rights (FRA), based in Vienna, where he is responsible for managing research projects in relation to artificial intelligence and online content moderation. Until 2014, he worked in the research department of the International Centre for Migration Policy Development (ICMPD). He has taught several courses on quantitative methods at Vienna University and has published widely on topics such as human rights, citizenship and migration statistics.
Teaching Assistant
Malgorzata Jurczak is a master student at the Faculty of Mathematics and Computer Science (of AMU) majoring in Statistics & Data Analysis. She holds a Bachelor’s degree in Mathematics (speciality in Data Analysis). She is interested in the area of machine learning, currently she is preparing her master’s thesis about Deep Stacking Networks. Professionally she is connected with actuary. Her skills include R programming (more than 3 years) as well as the basics of SQL.
Teaching Assistant
Anna Holdynska is a master student of Data Analysis and Data Processing at the Adam Mickiewicz University in Poznań. She works for a company Unilever in Poznań where she prepares reports for technical department using Power BI Service and helps employees understand trends and deriving insights from company data. Her master’s thesis is about integration R language with different types of Business Intelligence tools. She is R-programmer, but she also knows basics of Python and SQL.
Teaching Assistant
Mateusz Gruszczynski holds a Bachelor’s degree in Mathematics (specialty in data analysis). He is a master student at the Faculty of Mathematics and Computer Science (of AMU) majoring in Data Analysis and Data Processing. He is currently focusing on his master’s thesis about forecasting exchange rate risk using GARCH models. His interests includes programming and machine learning. He is R-programmer, but he is also familiar with the basics of SQL and Python.