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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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Русский язык в неславянском окружении: модель языковой конкуренции в регионах тесного языкового контактирования

Русин. 2023. № 71. С. 239–250.
Artemenko E.

Language competition is mostly relevant in regions of close language contact. The study allows predicting the loss of the minority language by bilinguals and preventing the final transition to monolingualism, thus preserving the bilingual community. The article analyzes the existing models of language competition and assesses the predictors of its dynamics, taking into account the specificity of the linguistic situation of Turkic-Russian bilingualism in South Siberia. The predictors are sociodemographic, including institutional, sociocultural and some motivational factors. Modeling is based on the Turkic-Russian bilingualism database, which includes three groups of linguistic interaction: Tatar-Russian, Shor-Russian, and Khakass-Russian. The database contains a total of 25,145 observations from 235 bilinguals. The proposed modeling and its results have shown that language competition is provided by mutually directed processes. Thus, the most influential factors ensuring high proficiency of bilinguals in their native minority language and, therefore, leading to a balanced language situation in the conditions of language competition, are sociodemographic factors: experience of preschool residence (in the village or in the city) and place of residence at the present time. The age as well as a group of socio-cultural factors (the language of rites and songs) is insignificant. Motivation, on the contrary, leads to an unbalanced bilingual situation, reducing the functional role of the minority language. Bilinguals emphasize that their own intention to use Russian is higher than the intention to use their native language. Thus, the maintenance of a balanced bilingual situation largely depends on demographic factors and motivation of bilinguals.

Research target: Philology and Linguistics Sociology (including Demography and Anthropology
Language: Russian
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Text on another site
Keywords: bilingualismбилингвизмбилингвыlanguage competitionTatar-Russian bilingualismunbalanced bilingualismКонкуренция языковНесбалансированный билингвизмТатарско-русский билингвизмБилингвальная языковая ситуация
Publication based on the results of:
Innovative methods of data collection and analysis in the modeling of communicative behavior of Internet users and the development of respective technological solutions (2023)
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