معرفی
Márton Rakovics serves as a Lecturer at Eötvös Loránd University with multiple affiliations across the academic institution. He holds positions at the Institute of Empirical Studies, the Department of Statistics within the Faculty of Science, and the Research Center for Computational Social Science (RC2S2). His interdisciplinary work bridges quantitative methods with social and medical research domains.
Rakovics' research interests demonstrate remarkable breadth across multiple disciplines. His primary focus lies at the intersection of computational social science and medical statistics, with significant contributions to natural language processing applications in social research, cardiovascular epidemiology, and critical analysis of higher education institutions. His methodological expertise spans advanced statistical modeling, word embedding techniques, and meta-regression analyses applied to diverse research problems.
His publication record reveals a clear trend toward interdisciplinary research that applies computational methods to pressing social and medical issues. Recent work (2023-2025) shows equal emphasis on medical statistics (particularly cardiovascular studies using CT imaging and biomarker analysis) and computational analysis of higher education discourse. His NLP work on depression forums and business school communications demonstrates innovative application of temporal word embedding models to understand social phenomena.
Rakovics maintains active research collaborations through the Research Center for Computational Social Science (RC2S2), which serves as his primary research platform. His work frequently involves cross-institutional collaborations, particularly evident in his medical research publications that include international co-authors. The RC2S2 appears to function as an interdisciplinary hub connecting statistical methodology with social science applications.
