Zsolt Boda is a research professor and general director of the Centre for Social Sciences (Budapest). His research focuses on media and agenda setting as well as on the role of trust and legitimacy in public policy effectiveness.
Miklos Sebok studied economics (M.A., Corvinus University of Budapest) and political science (M.A., University of Virginia), and he earned his Ph.D at ELTE University of Budapest. Since 2013 he serves as the research director of the Hungarian country project of the Comparative Agendas Project. His research interests include comparative politics, political institutions, political economy and text mining.
Csaba Molnár is a Ph.D student in political science at the Corvinus University of Budapest and a junior research fellow of the Hungarian Academy of Sciences. He serves as the coordinator for legislative databases in the Hungarian country project of CAP. His research focuses on the political impact of radical right parties and movements and on legislative studies.
Zsanett Pokornyi is a PhD student at ELTE University of Budapest and junior research fellow at Centre fo Social Sciences, Hungarian Academy of Sciences. She serves as the coordinator of executive databases of the Hungarian country project of CAP since 2017. Her research interests include tax morale and tax compliance, particularly the effects of government legitimacy, norms and corruption on taxplayer's motivation.
Tamás Barczikay studied economics at Corvinus University of Budapest, and he is currently a research fellow at the Centre for Social Sciences, Hungarian Academy of Sciences. He is responsible for the statistical analysis of multiple projects involving datasets of the Comparative Agendas Project of Hungary.
Orsolya Ring received her Ph.D. in History from ELTE University of Budapest and she is currently a research fellow at the Centre for Social Sciences. She serves as the coordinator of media databases of the Hungarian country project of CAP since 2019. Her research interest include creation and classification of large-scale newspaper corpora and applying different text mining methods to develop a new model of identifying slants, bias and propaganda.
