Marcell Nagy, deputy head of our laboratory, reports in the thematic issue of the Cooperative Doctoral Programme of the journal Scientia et Securitas on his doctoral research that focuses on using interpretable machine learning algorithms to identify students at risk of dropping out.

Scientia et Securitas is an interdisciplinary journal founded in 2020 by the Academic Council of Home Affairs and the Association of Hungarian Ph.D. and DLA Candidates.

The article (in Hungarian) can be found here.