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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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Мотивация студентов к выполнению научно-исследовательской работы и ее связь с установкой на построение академической карьеры в вузе

Вестник Пермского университета. Философия. Психология. Социология. 2021. № 4. С. 662–672.
Лапин П. М., Balezina E.

The requirements for university graduates include the possession of research skills, which implies the inclusion of this type of activity in the curriculum. Research work of students is included in both compulsory types of work and those performed at will of the student himself (over and above the curriculum), the latter being associated with a high level of students’ motivation. The article aims to analyze the structure of students’ motivation for carrying out research work at university and to identify its connection with the orientation of young people to building an academic career at university after graduation. The methodology is based on Talcott Parsons’ model of reference variables. It allowed us to describe the motivation of students at the theoretical level. Some of the selected theoretical positions (affective neutrality, self-orientation) were tested using empirical material collected through a survey of students of Perm national research universities (Perm State University, Perm National Research Politechnic University, Higher School of Economics -Perm). Based on the ideas of T.V. Razina and other researchers of motivation, we developed and tested a methodology for identifying the structure of students’ motivation to conducting research work at university. The following were identified as the most pronounced motives of the interviewed students: firstly, they carry out research work for self-development in the broad sense of the word; secondly, the process itself provides them with interest. Cluster analysis made it possible to classify respondents into 4 groups, based on the specifics of their motivation: strategists, enthusiasts, dependents, and and random people. A connection was revealed between the specifics of students’ motivation and their determination to build an academic career at university after graduation. As a result, we were able to identify and describe the group of students who are more determined to devote themselves to research work in the future. The paper proposes a number of recommendations for scientific supervisors and managing personnel of universities, which can be helpful in building the personnel policy of universities.

Research target: Sociology (including Demography and Anthropology Education
Language: Russian
DOI
Text on another site
Keywords: национальный исследовательский университетмотивацияmotivationstudent research workacademic careerнаучно-исследовательская работа студентовa national research universityакадемическая карьера
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