معرفی
Eszter Rita Katona is an Assistant Professor at Eötvös Loránd University's Faculty of Social Sciences, Department of Social Research Methodology. She serves as a lecturer at multiple research centers including the Research Center for Computational Social Science (RC2S2), Survey Methods Room Budapest, and Széchenyi István College for Advanced Studies.
Education:
- PhD in Interdisciplinary Social Research (Doctoral School of Sociology, 2018-2023)
- Computer Science specialization (Faculty of Informatics, 2016-2017)
- Survey Statistics MSc (Faculty of Social Sciences, 2015-2018)
- Social Sciences BA (Faculty of Social Sciences, 2011-2015)
- German Studies BA (Faculty of Humanities, 2012-2015)
- Angelusz Róbert College for Advanced Studies (2014-2018)
Research Focus: As a computational social scientist, her work spans three major domains:
- NLP and data visualization applications in social research
- Discursive framing of depression in online communities
- Corruption risk assessment in public procurement
Teaching Expertise: In her academic role, she teaches:
- BA courses: Data Collection Methods, Data Visualization, Introduction to Sociological Research, Quantitative Data Analysis
- MSc courses: Advanced Data Visualization, Python Programming, Communication and Data Visualization, Text Analytics
Scientific Contributions: Her recent publications and conference presentations focus on:
- Machine learning for depression discourse analysis
- Digital lens approach to Holocaust testimonies
- Corruption risk modeling in public procurement
- Interdisciplinary NLP applications
- Computational social science methodology
Contact: katona.eszter@tatk.elte.hu
۰مقاله منتشرشده
