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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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Методологические аспекты дифференциации поколений: на примере определения характерных для российских миллениалов установок по отношению к питанию

Социология: методология, методы, математическое моделирование. 2021. № 52. С. 36–60.
Tkachenko E. V.

The article is devoted to the description of the original method of generational differences analysis. This method is called the maximum differentiation scheme. With the help of the scheme we investigated unique trends in the millennial generation (born 1982–2000), which were observed neither in the entire sample nor in the other two generations for three types of data collection methods (cross-sectional analysis, analysis of temporal changes and long-term analysis). To satisfy the mechanics of the scheme, in addition to millennials, the Soviet generation (born 1947–1967) and the reform generation (born 1968–1981) were used for systematic comparisons. The research was conducted using data from the Russian Target Group Index. Thanks to the scheme, the author showed that only the statement “I prefer vegetarian food” can be considered a truly characteristic attitude of millennials. However, the scheme has two important limitations: 1) it is not sensitive to trends that are not unique to a particular generation; 2) the scheme cannot be used as the only type of analysis and needs additional methodological procedures. Taking into account these limitations, the maximum differentiation scheme can be useful both as a unique type of preliminary analysis of generational differences, and included in a broader approach to working with age and period effects.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: анализ поколениймиллениалыmillennialsmaximum differentiation schemegenerational analysisnutritional attitudesустановки к питаниюсхема максимальной дифференциации,
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