Renewed Training Program


From the autumn semester of 2019/2020 the Survey Statistics MSc program is running under the name of Survey Statistics and Data Analysis MSc. The structure of the course has changed significantly in the last few years in respects of the tools taught and the fields of human resources market targeted. Students are tought big data analytics, methods of network and text analytics, data mining, usage of several statistics software and programming languages in scientific, administrative and business applications, and social research as well.



80 students, of which 50 students first-ranked, applied for getting admission to the Survey Statistics and Data Analytics MSc in 2019. The number of applicants is bigger than that of last year and this achievement makes the program the 10th among the 163 MSc courses of ELTE considering the number of first-ranked applications of MSc courses.



A paper entitled “Antisemitism in Contemporary Hungary: Exploring Topics of Antisemitism in the Far-Right Media Using Natural Language Processing” was published by Ildikó Barna and Árpád Knap in the Theo-Web journal. The paper discusses contemporary online antisemitism in Hungary by analysing articles of the far-right website The paper can be accessed by clicking here.



Eszter Katona held a presentation entitled ‘Natural Language Processing in Social Sciences’ on 10 May 2019 in Basel, at the Joint Annual Conference of the GPSA Methods of Political Science Section and the SPSA Empirical Methodology Working Group ( She presented the results of the paper she wrote together with Renáta Németh and Zoltán Kmetty. The study is currently under review in a Hungarian sociology journal.



Zoltán Kmetty and Júlia Koltai held a presentation entitled ‘Understanding Cultural Choices with NLP’ on 9 May 2019 at the Budapest Data Science Meetup, discussing the role of natural language processing (NLP), including neural network-based word embedding models in better understanding human behaviour and culture. The abstract of the presentation is available here:



A paper entitled ‘Collapse of an online social network: Burning social capital to create it?’ was published in the D1 qualified (2.53 impact factor) Social Networks journal with Júlia Koltai as a co-author. The paper is discussing how the iWIW social media site collapsed from the aspect of connection networks. The paper is ‘open access’, so it can be accessed for free at the following site:

Conference Organizing


Organising Conferences. Julia Koltai was among the organisers of ‘Women in Data Science Budapest’ conference held on 4 March 2019 at the Central European University. The conference was a partner event of a conference organised at Stanford University with the same title. The session attracted more than 350 participants. The official site of the event and further information is available here:

The video made at the conference is available here:



Júlia Koltai held a course entitled ‘Structural Equation Modelling (SEM) with R’ from 22 February 2019 to 1 March 2019 at the European Consortium for Political Research Winter School in Methods and Techniques, University of Bamberg. The schedule of the course is available here:



Ildiko Barna held a presentation entitled “Overt and Subtle Antisemitism in Hungary” at the “Antisemitism, Anti-Zionism, Israel, and the Holocaust” workshop in Salzburg on 23 February 2019, discussing the methods and challenges of measuring antisemitism. Besides presenting the results of surveys on antisemitism in Hungary, she talked about new research opportunities offered by Natural Language Processing (NLP) methods, and also about the work of the research group.



Zoltán Kmetty, Julia Koltai and Karoly Bozsonyi presented their joint research on a poster at the BigSurv18 conference in Barcelona. Their work is focused on depression research in social media (Twitter, Instagram).



A keynote speech entitled ’Data science and statistics’ was held by Renáta Németh on 19 October 2018 at the meeting of the Clinical Biostatistical Society discussing the paradigm of ’big data’ methodology and its relation to ‘classical’ statistics. The discussion was focused mainly on biostatistical relevancy of the subject.



Zoltán Kmetty earned a postdoctoral scholarship offered by MTA. The focus of the scholarship is the application of text analytics in social sciences. In the scholarship program, Zoltán Kmetty is joining the MTA TK CSS-RECENS research team.



Our faculty jointly organised a Hackathon for students with the Precognox data mining corporation and the K-Monitor civil organisation in April, 2018. The aim of the competition was to create analyses and presentations using open-source software for data visualisation, to help to understand problems hiding behind data supplied by civil initiatives – with the deadline of 12 hours.