Roland Molontay (BME, department of Stochastics) will introduce the HSDSlab: Network science and machine learning in empirical social sciences on March 25th at 16:00 PM, room QA323.
Abstract:
In this talk, I will review some recent works of the Human and Social Data Science Lab (HSDSLab). HSDSLab is a young research group based in the Institute of Mathematics at the Budapest University of Technology and Economics. HSDSLab conducts both methodology-oriented basic research in data and network science and applied research with a human-centered and societal focus. The talk will revolve around three main topics: (1) Educational data science. (2) Social media analysis. (3) Science of science. I will sketch some of our data-driven research projects from the educational domain, including identifying students at risk of dropping out using explainable artificial intelligence, assessing the predictive validity of the admission system, and quantifying the relationship between student evaluation of teaching and grade inflation. Next, I will present our findings about the virality of social media posts, especially regarding the local and global context of image-with-text memes. Moreover, I will also briefly mention our recent project on a novel measure to evaluate the impact of scientific journals.