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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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‘Home-grown’ vs. ‘imported’ regionalism? Overlapping dynamics of regional migration governance in post-Soviet Eurasia

Journal of Ethnic and Migration Studies. 2022. Vol. 48. No. 12. P. 2873–2891.
Korneev O., Leonov A.

This article examines intra-regional (‘home-grown’) and externally-driven (‘imported’) frameworks of regional migration
governance in post-Soviet Eurasia. It argues that whether regional migration governance originates from internal  or external sources makes an important difference. It shows that intra-regional migration governance develops around economic rationality, whereas externally-driven regional migration governance tends to prioritise linkages between migration and security and, albeit less systematically, issues of migrants’ rights. The article demonstrates how intra-regional migration governance started to emerge as part of regional integration processes, becoming institutionalised within organisations such as the Eurasian Economic Union. It also shows how alternative versions of regional migration governance have been promoted by international organisations via, in particular, Regional Consultative Processes. It concludes with a reflection on competition and complementarity between these partially overlapping regimes of regional migration governance in Eurasia.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology Law Other social sciences
Language: English
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Keywords: трудовая миграцияЕвропейский СоюзЦентральная АзияРоссияRussiaEuropean UnionCentral Asiasecurityбезопасность авиаперевозокЕвразияEurasiaправа мигрантовЕАЭС labour migrationEAEUregional migration governancemigrant rightsрегиональное управление в сфере миграции
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