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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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Агентность и нарративная креативность как инструменты трансформационного перехода

Форсайт. 2025. Т. 19. № 3. С. 86–97.
Sorokin P. S.

In the context of various global crises following one another, transformational transitions of major socioeconomic systems to new development models are becoming a frontier of scientific discussions. There is growing need for actors capable of efficiently managing such comprehensive radical transformations focused on innovation. Building up human agency of the transformational type (TA) has always been a very relevant issue, but the demand for this competence has dramatically increased in today’s highly turbulent, variable, and unstable world against the background of the increased adoption of the inherently complex Industry 4.0. and 5.0 development models, and the exhausted potential of management tools which have been effectively applied in previous, relatively stable contexts. This paper explores the possibilities for developing and scaling up TA and proposes approaches to working with this complex and elusive phenomenon to facilitate successful development. On the basis of various concepts (including a personally developed one) and case studies, the author opens up the TA “black box”, bringing clarity to the process of the proper development of rare, transformational abilities. The conclusions reveal the sources of management systems’ renewal potential, which will help organizations successfully adapt to the increasingly complex flow of change.

Research target: Economics and Management Education Sociology (including Demography and Anthropology
Language: Russian
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Keywords: инновацииinnovationdynamic capabilitiestransformative agencyunicorn companies transformational transitionsтрансформационная агентностьтрансформационные переходы динамические способности компании-единороги масштабирование агентностинарративная теорияagency scalingnarrative theory
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