The new model, created by computational social scientist Ivan Smirnov of HSE University, predicts the academic success of Russian high school students with an accuracy of 94%. The model generates its predictions based on users’ distinctive vocabulary and speech patterns, and the predictions have strongly correlated with students’ Unified State Exam (USE) scores.

On October 23 – 24, 2020, the IX International Moscow Finance Conference will take place. The event has been organized jointly by ICEF and the London School of Economics. This year, the list of participants includes the editors of the two biggest journals in economics. Alexei Boulatov , Tenured Professor of HSE University, spoke about how the online format influenced the quality of academic events, what has changed in academic life over the last few months, and the topics that interest researchers today.

According to Natalia Tikhonova, a social scientist with HSE University, gender asymmetry has been on the rise in Russia's labour market over the past 20 years. Gender asymmetry is reflected in the ‘feminisation’ of white-collar jobs and a disproportionate number of men among blue-collar workers. In addition to this, increasing automation in traditionally male industrial sectors is leading to fewer jobs available to men. In contrast, occupations with a growing demand for skills tend to be those which are mainly filled by women.