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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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Роль социальных медиа в формировании регионального экологического протеста в России

Мониторинг общественного мнения: Экономические и социальные перемены. 2021. № 6. С. 28–52.
Klimova A. M., Куликов С. П., Chmel K.

In 2018—2019, Arkhangelsk Oblast took one of the leading positions among all regions of Russia in terms of protest activity. This was caused by the decision of the regional authorities to construct a landfill for the disposal of solid household waste from Moscow and Moscow Oblast at Shies station. Taking into account the fact that social media played a key role in mobilizing citizens, the authors of this study aimed to identify the role of discussions in social media concerning the construction of a landfill in increasing the protest activity of the Arkhangelsk Oblast residents. Empirically, the study bases on the data of a representative population survey and the nonreactive data collected from the «VKontakte» public groups discussing the construction of a landfill.

The study revealed that more frequent social media discussion of landfill construction at an individual level increased the likelihood of participating in protest activities. In addition, the authors found a group effect of the discussion: an increase in the number of members of protest communities, as well as the prevalence of reposts of their information at the level of municipal districts of Arkhangelsk Oblast, increased the protest activity of citizens. Finally, it has been shown that participation in protests depends on the information environment: in the areas where the problem is discussed more actively, the effect of the observed individual discussion is higher. Thus, to assess the impact of media activity on political protests, it is important to take into account not only two different levels of discussion, but also the interaction between them.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
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Keywords: политическое участиесоциальные медиаpolitical participationполитический протестpolitical discussion social mediapolitical protestecological protestэкологический протестполитическое обсуждение
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