Team

Miklós Sebők

Miklós Sebők is a Research Professor at the Institute for Political Science at Centre for Social Sciences in Budapest. He also serves as the principal investigator of the Political and Legal Text Mining and Artificial Intelligence Laboratory (poltextLAB) and research co-director of the Artificial Intelligence National Lab at CSS, Budapest). His research appeared in, inter alia, East European Politics, European Journal of Political Research, European Political Science Review, Journal of Legislative Studies, Policy Studies Journal, Political Analysis and Social Science Computer Review. He is the co-editor of “Policy Agendas in Democracy, Autocracy and Hybrid Regimes” (Palgrave, 2021).

legislative studies I political economy I text mining I machine learning

Email: sebok.miklos[at]tk.hun-ren.hu

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Csaba Molnár

Csaba Molnár is a Research Fellow at the Institute for Political Science at Centre for Social Sciences in Budapest. His main research fields are legislative studies, history of political thought and right-wing radicalism. He participates in the Hungarian Comparative Agendas Project where he works on legislative database development. He also participates in the poltextLAB project. His research appeared in, inter alia, Journal of Public Policy, European Political Science, East European Politics and Journal of Legislative Studies. He is the co-author of “Modern Hungarian Political Thought: Ideologies and Traditions” (Palgrave, 2024). 

legislative studies I history of political thought I right-wing radicalism

Email: molnar.csaba[at]tk.hun-ren.hu

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Jakub Szabó 

Jakub Szabó is a Research Fellow at the Institute of European Studies and International Relations, Faculty of Social and Economic Sciences, at Comenius University of Bratislava. His main research interests are in political economy, survey research, data analysis and text mining.


political economy | survey research | data analysis | text mining

Anna Takács

Anna TAKÁCS earned her bachelor’s degree in Applied Economics from Corvinus University of Budapest, and her master’s degree in International Economy and Management at John von Neumann University, where her thesis focused on the modelling of exchange rates using news articles. She is Resaerch Assistant of the Political and Legal Text Mining and Artificial Intelligence Laboratory (poltextLAB).

political economy I data analysis I machine learning

Email: takacs.anna[at]tk.hun-ren.hu