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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Interregional migration of youths in Russia: a comprehensive analysis of demographic statistics

Educational studies. 2016. Vol. 13. No. 3. P. 169–203.
Kashnitsky I. S., Mkrtchyan N. V., Leshukov O.

Not dissimilar to many other countries, migration in Russia has a pronounced age-dependent pattern with the peak intensity at the age when people obtain higher and professional education. In this paper, we analyze migration intensity at student age (17–21) using three sources of demographic data with regard to their key opportunities and limitations. We compare the migration attractiveness of Russian regions in three ways. First, we apply APC analysis to the current migration statistical data, separately for two periods: 2003–2010 and 2011–2013. The reason for sampling these two periods is because there was a significant change in the migration statistics collection practices in 2011. Second, we use the age-shift method to analyze the data of the 2002 and 2010 Russian censuses. We offer a way to refine the census data by discarding the non-migration-related changes in the age-sex structure. Finally, we use information about the ratio between the number of school graduates and that of full-time high school enrolments in the academic years 2012/13 and 2013/14 across the regions. Based on the four indicators of migration intensity (intercensal estimates, statistical records for the two periods, and the graduate-enrolment ratio), we develop a rating of Russian regions in migration attractiveness for student-aged youths. A position in this rating depends not only on the level of higher education development in a region but also on the consistent patterns of interregional migration in Russia. The regions in the European part of the country have a much higher chance to attract migrants at student ages.

Research target: Sociology (including Demography and Anthropology Mathematics Education
Priority areas: economics sociology
Language: English
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Keywords: миграционный приростучебная миграцияYouth migrationмиграция молодежиnet migrationметод возрастной передвижкиeducational migrationage-period-cohort analysisage-shift methodrating of region attractivenessкогортно-компонентный анализрейтинг привлекательности регионов для студентов
Publication based on the results of:
Migrants in a metropolis: Opportunities for socioeconomic integration in the city. Comparative analysis. Russian and international experience (2016)
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