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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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Социальное происхождение и содержание труда на старте карьеры выпускников российских вузов

Социологические исследования. 2026. № 4. С. 43–57.
Nikitin M., Lukina A.

The article examines the relationship between family socio-economic status and the content of work performed by university graduates in Russia at the beginning of their professional careers. While most studies of educational inequality focus on income or employment outcomes, this study shifts attention to the characteristics of the work performed as an indicator of job quality. The key analytical variable is the level of task routineness, which reflects the degree to which job tasks are standardized and formalized. The empirical basis of the study is the longitudinal survey Trajectories in Education and Profession. The results show that graduates from families without higher education are significantly more likely to be employed in positions dominated by routine tasks, whereas graduates from more educated families are more often concentrated in non-routine jobs involving more complex cognitive and analytical activities. These findings suggest that social origin continues to structure the quality of graduates’ early labour-market positions even when they possess formally similar educational credentials.

Research target: Sociology (including Demography and Anthropology Education
Language: Russian
Full text
DOI
Keywords: рынок трудавысшее образованиесоциальная мобильностьмолодежьlabour marketsocial mobilityhigher educationкарьерные траекторииcareer trajectoriesсодержание трудаsocial originjob-task contentroutine workрутинность трудасоциальное происхождение
Publication based on the results of:
Decision-making in key life spheres: space of choice and the role of individual characteristics and contextual factors (2025)
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