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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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Родительская оценка эффективности социальной интервенции в проблемную семью с детьми

Журнал социологии и социальной антропологии. 2025. Т. 28. № 2. С. 182–210.
Abramov R., Rozhdestvenskaya E., Sablya A.

Evidence-based social policy has become a prevalent approach to managing social programs, relying heavily on evaluation procedures often intertwined with sociological methods. This article analyzes the implementation of one such evaluation procedure—feedback from recipients of social intervention—within a comprehensive assessment of an interdisciplinary team’s intervention technology addressing child rights violations. Interviews with family members participating in the program were conducted. Findings indicate progress and resocialization within families, demonstrating increased awareness of their problems and engagement in efforts toward social normalization. However, this perspective contrasts with the more optimistic evaluations provided by experts and specialists. While family members acknowledged progress and viewed it as hope for a better future, their confidence in overcoming existing problems was less pronounced. Nevertheless, the study documents demonstrable progress, including a reduction in child abuse cases attributable to the intervention technology. This success is significantly linked to the advanced skills of the specialists implementing the technology and their altered approach to case management. The empathetic and collaborative approach of the caseworkers, coupled with the technology’s components, fostered optimistic expectations among clients, motivating them to change their lives and break cycles of dependence, poverty, and domestic violence. The study, however, also reveals limitations to the technology’s applicability, particularly concerning families with low initial resources and complicating factors such as alcohol and substance abuse. Furthermore, interaction with caseworkers and other specialists fostered the acquisition of new skills, including a familiarity with the language of psychology and social work. This, however, also presents a potential risk of dependency and reliance on continued support. This article contributes to the methodological advancement of evidence-based social policy.

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальная политикаsocial policyevaluationсоциальная работаоцениваниеsocial workParenting семья родительство
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