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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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Субъективное благополучие россиян через призму их идентичностей: состояние и факторы

Социологическая наука и социальная практика. 2024. Т. 12. № 3. С. 6–25.
Tikhonova N. E., Дудин И. В.

The article shows the prevalence of identities of Russians related to subjective well-being (identity with people of the same material wealth, with those who are in constant need and with those who have achieved success in life) based on the research data of the Institute of Sociology of FCTAS RAS. The analysis of these identities effectively complements the traditional methods of studying well-being by assessing it not “in the moment”, but over a long period of time, since the identities are formed over a long period of time and are stable. It is shown that these three symbolic identities allow to “capture” different components of subjective well-being. Self-identification with those in constant need reflects the disadvantage caused not only by low income and experienced deprivations, but also by the gap between a person’s aspirations and actual achievements. Identity with those who have achieved success is closely related to overall satisfaction with life and with one’s position in the status hierarchy, reflecting the achievement of goals that are important to the individual (not necessarily related to material well-being). Identity with people of the same material well-being is more common among the well-off population, as many of the disadvantaged try to find more favorable grounds for positioning themselves in society. As these identities reflect different aspects of subjective well-being, the coexistence of apparently mutually exclusive identities is typical of Russians. It is also shown that the self-identifications of representatives of the mass strata of the country’s population based on their wellbeing occupy an important place in their identification system, and that the prevalence of these identities is stable over time, although they are no longer among the “nuclear” identities. They are relatively more pronounced among representatives of polar groups in terms of their place in the system of social inequality. At the same time, as a whole,
they allow to define the position of a person in the system of social inequalities quite clearly.

Research target: Sociology (including Demography and Anthropology Psychology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: субъективное благополучиеwell-beingобщественное сознаниеsubjective well-beingidentitiesидентичностиsocial consciousnessсубъективное благосостояниеgroup identitiessymbolic identitiessecondary identitiesindividual self-identificationгрупповые идентичностисимволические идентичностивторичные идентичностисамоидентификация человека
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