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News
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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Модели взросления разных поколений россиян

Демографическое обозрение. 2019. Т. 6. № 4. С. 53–82.
Mitrofanova E.

This paper is devoted to the analysis of the starting events marking the transition to adulthood, such as completion of education (vocational and higher), first employment, first leaving parents first time leaving home, first partnership, first marriage, and first childbirth.

The dataset of the research is the Russian part of the Generations and Gender Programme (GGS). We prepared the harmonised dataset of the three waves (2004, 2007, and 2011), which included 5,451 respondents born between 1930 and 1986. We used two complementary approaches to study the transition to adulthood: the analysis of the starting sociodemographic events separately and the analysis of all of them as a part of one process. We plotted the results of the analysis on a demographic Lexis grid, which allowed us to observe the influence of the historical and institutional context on people’s behaviour.

The research revealed three models of the transition to adulthood in Russia: “Soviet” (generations of 1940-49, 1950-59, and 1960-69), “Transitional” (generations of 1930-39 and 1970-79), and “Post-Soviet” (generation of 1980-86). Our classification is similar to the idea of the convergence of the patterns of the starting events’ occurrence (Billari and Liefbroer 2007), which assumes a change from the “traditional” model (“early, contracted and simple”) to the “modern” model (“late, protracted and complex”). The similarity of the changes in Russian and European models confirms the stadiality of the modernisation process (Frejka and Zakharov 2012; Puur et al. 2012). The study also confirms the assumption of the life course approach about the individualisation of the life course.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
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Keywords: рождаемостьбрачностьвзрослениеfertilityдемографическое поведениеdemographic behaviourtransition to adulthoodmatrimonial behaviorстартовые события
Publication based on the results of:
Demographic and migration processes in Russia in historical and international context in the light of new methodological approaches (2019)
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