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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Применение методов пространственно-эконометрического моделирования для анализа факторов привлечения молодых преподавателей в российские университеты

Прикладная эконометрика. 2025. Т. 77. С. 91–115.
Byvaltseva-Stankevich A., Panova A.

The aging of university faculty is an important problem. This studies the issue of attracting young faculty to leading and non-leading Russian universities in 2014–2022. This is the first work that applies spatial econometric methods using data from the Russian higher education sector, allowing for the consideration of interdependence among universities. Three different weight matrices are used — neighborhood matrix, five nearest neighbors matrix, and inverse distances matrix. An important methodological aspect is the adaptation of matrices built on macrodata (regions) to mesodata (universities). The results of the regression analysis are robust to the change of spatial matrices. There is a spatial dependence between Russian universities, it is especially sound within two separate clusters: leading and non-leading universities, and leading universities appear to be in a situation of competition with each other for young faculty. In order to attract young faculty, Russian universities may increase the remuneration level and decrease the pressure regarding young scholars’ publishing activity.

Research target: Economics and Management
Language: Russian
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Keywords: молодые преподавателироссийские университетыпространственная эконометрика
Publication based on the results of:
Production function of Russian higher education institutions: analysis of features, structure and changes (2024)
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