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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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Подходы к изучению просоциального поведения и альтруизма

Российский девиантологический журнал. 2026. Т. 6. № 1. С. 92–104.
Rean A., Шевченко А. О., Ставцев А. А., Кузьмин Р. Г.

Abstract Introduction. The development and refinement of psychological and pedagogical strategies for the prevention of aggressive and destructive behavior require an understanding of the mechanisms of helping (prosocial) behavior and altruism as important components of an individual’s social adaptation. Prosocial behavior is viewed as a broader phenomenon encompassing various motivational forms, whereas altruism is interpreted as a specific type of helping action without expectation of external reward or personal gain. It is shown that prosociality and altruism occupy a central place in the external criteria of social adaptation and are linked to the system of personality characteristics that facilitate the transition from perceived social adaptation to actual social adaptation. Materials and methods. This theoretical article describes the conceptual relationships between the concepts “prosocial behavior” and “altruism” based on contemporary meta-analytic reviews and approaches from positive psychology, social psychology, and neuroscience. The article presents key socio- psychological and psychophysiological approaches to the study of prosocial behavior and altruism: classical laboratory and field experiments (moral dilemmas, the “trolley problem,” the “Good Samaritan” study, etc.), questionnaires and self-report scales, as well as modern neuroimaging and multimodal methods. The results of the analysis demonstrate a significant expansion of the methodological arsenal in the study of prosocial behavior and altruism and a shift in emphasis from isolated procedures to comprehensive designs combining behavioral, psychometric, and psychophysiological methods. Conclusion. The need for further development of integrative models that account for the prerequisites of altruism, its connection to moral development, and the role of prosocial behavior in preventing aggressive and destructive forms of social maladjustment is emphasised.

Research target: Psychology
Language: Russian
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Keywords: позитивная психологияпросоциальное поведениеблагополучиеальтруизмсоциальная нейронаукапозитивная нейронаука
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