Ildikó BARNA is a sociologist. She is an Associate Professor at ELTE University Faculty of Social Sciences Budapest, where she also serves as Head of the Department of Social Research Methodology. Her research topics include antisemitism, xenophobia, post-Holocaust studies, and quantitative research on archival sources. Recently, her interest turned to the research of online hate speech using automated text analysis. She took part in numerous research projects. Her most recent ones include Countering Antisemitism Through Testimony with the USC Shoah Foundation, “The Jews in Hungary 2017”, survey research together with Prof. András Kovács. Her ongoing research projects include “Hungarian Jewish Displaced Persons and Refugees after the Holocaust” and a research project with the Tom Lantos Institute on Modern Antisemitism in the Visegrád Countries. She is a member of the MTA-ELTE Lendület SPECTRA (Social prerequisites for the effective fight against bias-motivated crimes through criminal law and minority rights protection) Research Group. Ildikó Barna is currently the fellow of the János Bolyai Research Fellowship of the Hungarian Academy of Sciences.
Renáta Németh, PhD, is Head of Statistics Department at Eötvös Loránd University, Faculty of Social Sciences. She holds an MSc in Applied Mathematics and an MA and a PhD in Sociology. She is also the director of the Survey Statistics and Data Analytics MSc Program. Her research interests are primarily in the field of graphical modeling, marginal modeling and survey statistics, with emphasis on the problem of causation.
More recently, her interest has turned to automated text analytics. She is particularly inspired by discovering different application areas of statistics, understanding their epistemological differences, and adapting methodological knowledge of to different fields.
She published in journals such as Sociological Methodology (D1), Biometrika (D1), Field Methods (Q1), Journal of Epidemiology and Community Health (D1) and American Journal of Public Health (D1). Citations: ~600, Hirsch-index: 12.
Eszter Katona is a survey statistician who started her PhD in 2018 at ELTE University Faculty of Social Sciences. Her supervisors are Ildikó Barna and Renáta Németh. Since September 2018 she also serves as an Assistant Lecturer at ELTE Faculty of Social Sciences at the Department for Social Research Methodology. Her research topic is Natural Language Processing in the social sciences. She wrote her MSc thesis on topic modelling: she created a tag recommendation algorithm for the database of articles of K-Monitor, which is a Hungarian NGO, working against corruption. She will deal especially with the topic of hate speech and corruption.
Zoltán Kmetty, PhD, is a postdoc at the Hungarian Academy of Sciences Centre for Social Sciences; and a senior lecturer at the Eötvös Loránd University Faculty of Social Sciences. Ha has diverse research interest including political sociology, network studies and suicide research. He is an expert of methodology, survey design and quantitative analysis. . The last 3 years he started to deal with Big Data analysis and text mining more intensively. His postdoc position at HAS CSS-Recens research group is also strongly linked to CSS and text mining. He has published several papers in high quality international journals like Social Networks (IF: 2.5), Journal of European Public Policy (IF:2.9) Crisis (IF: 2.1) and East European Journal of Politics and Societies (IF: 0.8).
Árpád Knap is a survey statistician who started his PhD in September 2018 at Eötvös Loránd University Faculty of Social Sciences. His supervisors are Ildikó Barna and Júlia Koltai. Árpád has been working at ELTE Department for Social Research Methodology on several projects with Ildikó Barna in the past three years. During these projects he has gained valuable experience in quantitative research methodology, survey design (both online and offline), data analysis and visualization, as well as writing research papers. He wrote his MSc thesis using automatized internet-based data collection techniques, which required – among other skills – knowledge in programming and the ability to use several Python packages, including those used to create interactive data visualization interfaces. Árpád has taught several courses at ELTE in the last two years, including Programming II and Quantitative Data Analysis II. His PhD research topic is the applicability of “big data” in the social sciences, with the main focus being on Natural Language Processing methodology for dealing with large amounts of poorly structured data.
Julia Koltai, PhD, is an assistant professor at the ELTE University, also a research fellow at the Hungarian Academy of Sciences Centre for Social Sciences. Her main research focus is on quantitative methodology and statistics.
In the latest years, her interest turned to big data processing and analysis and worked with large amount of text data from sources like Twitter, Instagram and Facebook.
Fanni Máté is a survey statistician who started her PhD in 2017 at ELTE University Faculty of Social Sciences. Her supervisors are Júlia Koltai and Domonkos Sik. Since September 2017 she also serves as an Assistant Lecturer at ELTE Faculty of Social Sciences at the Department for Social Research Methodology. During her studies she worked as a junior researcher in various projects and topics, and has got experience in quantitative and qualitative research methodology, survey design and data analysis. Her Ph.D. research topics are the sociological aspects of depression and the applicability of Natural Language Processing in this field.
Márton Rakovics, statistician, is an assistant lecturer at the Department of Statistics, Faculty of Social Sciences, ELTE University, PhD student at Doctoral School of Sociology, Corvinus University Budapest. His doctoral research is about dynamic simulation modeling of social networks. He is currently focusing on the possible applications of deep learning and text mining methods in sociology. He is also working on biostatistics research projects: the role of atmospheric factors in the prevalence of cardiovascular diseases, and biomarker analysis for blood doping detection in endurance sports.
Domonkos Sik is an associate professor of Sociology at the ELTE University, Budapest, Hungary, where he has been a faculty member for the last five years. His research deals with various topics in critical theory including phenomenology of mental disorders and the transformation of political culture in the post-transition period. He participated in several research projects funded by EU FP7 (MYPLACE, MyWeb) and the NRDI. Currently he is the principal investigator of a project about “Solidarity in late modernity” (funded by NRDI). His work has appeared in such venues as The Sociological Review, European Journal of Social Theory and Politics, Culture and Socialization. He has written several monographs including the recent Radicalism and indifference (Peter Lang 2016).