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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Масштабы и динамика социально-экономического неравенства в современной России

С. 290–318.
Kozyreva P. M., Smirnov A. I.

The main focus of this article is analyzing the peculiarities and dynamics of socio-economic inequality in modern Russia. Examined are the changes in Russian people’s attitudes towards this multilateral and painful social issue, which are dictated by shifts both in objective reality and the way it is perceived by the general population. Analysis is based on data from «Russia Longitudinal Monitoring Survey» (RLMS-HSE). It is revealed that uneven distribution of income and accumulated wealth in post-Soviet Russia has become ever so dramatic. Meanwhile, like in most other countries of the world, a huge and constantly increasing and accelerating concentration of capital in the hands of a slim segment of the richest people is evident. These processes decrease the eff ectiveness of previously accepted criteria and indexes of socio-economic inequality, which leads to the need for fi ner adjustment of said instruments. Those who suff ered the most from a series of economic crises and stagnation, occurring throughout the period between 2008 and 2016, are those who belong to quite prosperous segments of the population, those which form the backbone of the middle-class. A decrease in the amount of wealthy households during the last crisis was accompanied by an increase in the amount of poor families, which became one of the reasons for an increase in the population’s dissatisfaction with their material status. Dramatic socioeconomic inequality remains the most prominent factor which forms inequality of opportunity when it comes to various population groups’ access to education, health-care and other social resources. However, unlike the 1990’s, when negative attitudes towards private property and rich people were dominant in Russian society, today we see a more moderate tolerance level towards socio-economic inequality.

Language: Russian
DOI
Text on another site
Keywords: социальная дифференциацияэкономический кризисuncertaintyнеопределенностьматериальное положениесоциально-экономическое неравенствоsocial differentiationeconomic crisisSocio-Economic Inequalitymaterial well-being

In book

Россия реформирующаяся: ежегодник
Вып. 16. , М.: Новый хронограф, 2018.
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