After completing her BA in Sociology, she is currently a graduate student of the master's program in Survey Statistics and Data Analysis at ELTE. Within the world of data, she is particularly interested in biostatistics and issues related to survey methodology. She has been working as a data analyst at NSZFH since spring 2025, mainly analyzing PIAAC data and writing papers. In addition to her university studies and work, sport is an integral part of her life.

After graduating in Sociology, she is a student of the master's program in Survey Statistics and Data Analysis at ELTE. The vocational college activity plays a prominent role in her social and professional work. Her goal is to bring the relevant elements of data analysis and survey methodology into the civil sphere.

Currently pursuing a Bachelor’s degree in Sociology, with additional training from a one-year supplementary program in Information Technology focused on developing practical skills in data analysis and programming. Works in the economic sector as a modelling analyst, applying statistical and quantitative methods on a daily basis. Main interests include gaining a deeper understanding of the methodological and applied aspects of statistics, as well as continuously expanding the analytical and research toolkit.

He completed his undergraduate studies in Sociology at ELTE. He then chose to pursue a master's degree in Survey Statistics and Data Analysis at ELTE, which he completed in 2025. He wrote his thesis on "Estimating alcohol consumption using survey tools: examining measurement error". In addition to survey methodology, his interests focus on machine learning and deep learning, especially their applications in social sciences and data analysis.

She graduated from ELTE with a bachelor's degree in Sociology and is currently a Master's student in Survey Statistics and Data Analytics. During her undergraduate studies, she started to be interested in data-driven social sciences and specialised in this field. Her main interests are data analysis in social research, how data are compiled and how data are collected. She spends a lot of her free time playing sports, including competitive martial arts.

Kincső graduated from ELTE with a bachelor's degree in sociology, specializing in data-driven social sciences, and is currently pursuing a master's degree in social behavior analysis, with a focus on Big Data. She is also a junior data analyst at the Government Transparency Institute. Her thesis was on institutionalized corruption, in which she focused on how it can be detected using quantitative methods. In addition to corruption research, she is also interested in the study of political elites, questionnaire surveys and data visualization.

He is an undergraduate Sociology student at ELTE, currently pursuing a data-focused specialization. He believes it is most important to make quantitative methods and their results accessible and easy to understand. In his free time, he enjoys regular exercise and an active social life.

Anna participated in the work of the research team as an intern, in the projects taking place in 2023-2024.

He was a student of the master’s program in Survey Statistics and Data Analysis at ELTE and worked as a junior market researcher at Scores Group. In addition to social sciences, he is a prose writer and a member of the Young Writers Association and the Carpathian Basin Talent Association. He currently works at the New York University Abu Dhabi campus as a research assistant in the CITIES research group.

Hanka participated in the research group from spring to December 2023. She primarily dealt with the method and estimation procedures of respondent-driven sampling (RDS). Based on the data of an experimental research, she examined the operation of the method, the structure of the chains formed by the respondents, the estimation methods and the conditions to be fulfilled for the appropriate estimations. She graduated with a bachelor's degree in Sociology and Mathematics, and participated in the research group in addition to her master's studies in Survey Statistics and Data Analytics.

Jakab obtained his master's degree in Survey Statistics from the Faculty of Social Sciences of ELTE in 2020, and has been a student at the Doctoral School of Sociology of ELTE since 2022. His doctoral research examines the explainability and applicability of machine learning-based language models in social sciences. He also conducts research in natural language processing and text analysis, and works at the Department of Artificial Intelligence at the Alfréd Rényi Institute for Mathematical Research.

Nhi participated in the research project "Public opinion research methods in a new technological and social environment II." from April 2023 to January 2024. Her main tasks included data collection, reviewing the ESOMAR report and creating data visualisations in Excel and Tableau. She is a Sociology undergraduate student specialising in data-driven social sciences. She is very interested in working with data.

She is a sociology undergraduate student and wants to focus on data-driven solutions. She is a former student of the College of Social Theory and is also interested in different programming languages, such as Python.

Tamás primarily investigated survey nonresponse cases using graph embedding techniques, based on linked environmental information (data mining). After graduating with a Bachelor of Commerce and Marketing, he spent 8 years in the industry, mainly in marketing technology and data analysis. He is currently studying for a master's degree in Survey Statistics and Data Analytics at ELTE. He is particularly interested in programming and network science.

Zita Fellner is an assistant professor at the Department of Statistics, Faculty of Social Sciences, ELTE. She started her studies at the Corvinus University of Budapest, graduated with a bachelor's degree in applied economics and a master's degree in finance, and also obtained a master's degree in survey statistics at Eötvös Loránd University. She received her PhD from the Doctoral School of Economics and Business Informatics at the Corvinus University of Budapest. She is a leading economic analyst at the Financial System Analysis Directorate of the National Bank of Hungary.

She graduated with a bachelor's degree in Sociology, where she specialised in data-driven social sciences, which is one of the reasons why she became interested in the world of data. She is currently a student of the master's program in Survey Statistics and Data Analysis at ELTE. Besides her studies, she would like to work in the field of market research. Her professional interests focus on data visualisation and processing data from questionnaire surveys.