
معرفی
Renáta Németh serves as Professor at Eötvös Loránd University with significant leadership responsibilities across multiple academic units.
- Director of the Institute of Empirical Studies
- Head of the Department of Statistics
- Lecturer at the Research Center for Computational Social Science (RC2S2)
Research Interests
Her work integrates computational methodologies with social science inquiry, emphasizing:
- Computational Social Science and Text Analysis
- Political Discourse Analysis in Central/Eastern European contexts
- Natural Language Processing applications for social data
- Prejudice reduction through intergroup contact
- Health sociology with focus on depression narratives in digital communities
- Methodological innovation in survey research and machine learning
Publication Trends
Recent publications (2023-2025) demonstrate intensive focus on computational text analysis of political speeches, refugee narratives, and mental health forums. Her work increasingly incorporates generative AI tools, particularly in educational applications like AI tutoring systems for statistics education. Hungarian parliamentary discourse remains a consistent analytical focus across multiple publications.
Scientific Awards
No specific scientific awards or fellowships were identified in available materials.
Advising and Grants
While explicit grant funding details and doctoral student lists are absent from provided materials, her leadership of RC2S2 and organization of the "Módszeresen vitasorozat" methodological workshops indicate active involvement in research supervision and academic training. The pilot projects mentioned in recent publications suggest ongoing grant-supported research activities.
Labs and Teams
As Director of the Institute of Empirical Studies and key figure in the Research Center for Computational Social Science (RC2S2), she leads interdisciplinary teams focused on text-as-data approaches. The RC2S2 maintains active digital presence (rc2s2.elte.hu, Facebook) and conducts research on Hungarian parliamentary discourse (1998-2020), e-mental health communities, and computational methodology development.




