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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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Концепт продуктивного образования в контексте метамодернистского дискурса

Человек и образование. 2023. № 1 (74). С. 24–37.
Аксенова С. Д., Корнеева М. С., Prikot O., Тагаева Н. Е.

The research presented in the article reveals the value and didactic foundations of the productive education concept, its basic features. The author’s definition is formulated. In the course of the research, evidence of its manifestation in the educational practice of the children’s technopark «Kvantorium» was found. The results of the empirical study show that the subjects of the educational process in comprehensive, specialized and private schools of St. Petersburg consider it possible and necessary to introduce the Quantorium model of productive education in their educational environments. The article shows that the basis for the mechanism of implementation of the Quantorian («pulling») model of productive education is a personalized educational program, which assumes parity «child-adult» mastering by representatives of schools - partners in the process of implementation and realization of the Quantorian «pulling» model.

Research target: Education
Language: Russian
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Keywords: Продуктивное образованиеобразовательная экосистемаобразование метамодерна кванторианская «вытягивающая» модельмеханизм внедрения
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