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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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Урбанизация или субурбанизация определяет миграцию населения в Московской области?

Вестник Санкт-Петербургского университета. Науки о Земле. 2022. Т. 67. № 2. С. 360–381.
Karachurina L. B.

This paper examines population migration to the Moscow Oblast. Moscow Oblast belongs to a
small number of Russia’s regions characterized by intensive and diverse population migration.
The region attracts migrants from other federal subjects of Russia as well as from abroad, there
are also a distinct migration flow to Moscow Oblast originating in Moscow and migration
within the borders of Moscow Oblast itself. The motives for migration are analyzed separately
for studied migration flows along with the factors of the region’s attractiveness for migrants,
the differences between migrant flows (moving to Moscow Oblast, moving within Moscow
Oblast and “non-mobile” population) are identified. The research was conducted with the
help of a specially designed questionnaire via SurveyMonkey platform. The study showed that
the “suburbanization” motives for migration related to ecological situation, privacy and monotonous
urban environment are not dominant even amongst groups of migrants who have
moved to villa communities and townhouses. The following factors indicating great importance for all groups of migrants were identified: the ratio between land price and distance from
the center of Moscow, access to the advantages of Moscow city’s labor market, service, and
leisure industry. In this context, we can imply that importance of the “urban logic” remains
high. Survey responses on the importance of location characteristics, as well as demographic
parameters show that the most peculiar population group is “non-mobile” population of
Moscow Oblast. Approximately 62 % of respondents from households that include those who
had migration experience are oriented to work or study in Moscow. The most “targeted” at the
capital are migrants who had moved to Moscow Oblast from Moscow.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Text on another site
Keywords: мигрантыреспондентrespondentМосковская областьмотивы миграцииmigration attractivenessмиграционная привлекательностьпричины миграцииreasons for migrationmigrantmotives of migrationhousing migrationMoscow Oblastжилищная миграция
Publication based on the results of:
Spatial measurement of demographic dynamics in Russia: long-term and short-term changes in the diversity of human reproduction regimes, migration and demographic structures of the population at the regional level (2022)
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