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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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The Up and Down Migration at Various Life-Course Stages: Russia Case Study

Population, Space and Place. 2025. Vol. 31. No. 6. Article e70088.
Liliya Karachurina, Nikita Mkrtchyan

The paper explores the age‐specific vertical migration in Russia. Vertical migration is understood to be the population resettlement up and down the urban hierarchy–from small villages at the bottom, to large urban agglomerations (megapolises) at the top. The objective is to replicate the approach of Plane and others using the life‐course perspective within the context of Russia. The analysis relies on long‐term internal migration statistics at the level of individual settlements (2011–2020 years). We identify 9 levels of the urban hierarchy–ranging from the largest cities to the smallest villages. Cities, together with their suburbs, are considered as units. Accordingly, if a city is attractive to migrants, its suburbs become attractive too. The results of our analysis show that upward vertical migration is predominant in Russia. The population continues to concentrate at the upper levels of the urban hierarchy, while the lower levels (rural settlements) are rapidly losing population. This observation is true for all age groups. We believe that such centripetal migration, observed across all age groups, is specifically a Russian phenomenon. Also, most migration patterns have high demographic effectiveness, and that ‘jumping’ migrations, skipping over several levels, are more typical than movements between adjacent urban hierarchy levels.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Sociology (including Demography and Anthropology
Language: English
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Text on another site
Keywords: internal migrationagecentreurban hierarchy suburbsa settlement
Publication based on the results of:
Demographic situation analysis and projections for the Russian Federation. Development of recommendation on population and migration policy (2025)
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