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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Сравнительный анализ политики мультикультурализма в Канаде, странах Европы и России

Общественные науки и современность. 2017. Т. 3. С. 120–131.
Понизовский В. А., Berry J. W.

Multicultural policy is one of the few theory-based approaches to managing ethno-cultural diversity. However, Russian scientific community expresses doubts about the feasibility of the policy for Russia. Such doubts arise from the difficulties in integration of migrants in Europe and support for assimilation policies among the Russian public. The goals of this article are to 1) present theoretical and empirical evidence for multiculturalism policy; 2) describe two components of the multiculturalism policy: support and promotion of cultural diversity and facilitation of equitable participation of heterogeneous ethno-cultural groups; 3) and to compare the degree of implementation and effectiveness of multiculturalism policies in Canada, countries of Europe, and Russia. We conclude that recent changes in Russian policy are likely to improve intergroup relationships in the Russian Federation, however, such changes cannot be seen as sufficient for satisfactory social, political, psychological and economic integration of migrants into Russian society.
 

Research target: Psychology
Priority areas: humanitarian
Language: Russian
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Keywords: миграционная политикаРоссиямультикультурализмRussiamulticulturalismэтничностьnationalityethnicityадаптация и интеграцияnational identityadaptation and integrationthe migration policyethno-cultural diversityэтнокультурное разнообразиеобщегражданская идентичность
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