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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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Safe Mobility: University after Technical College Pathway

NRU Higher School of Economics , 2015. No. WP BRP 27/EDU/2015.
Alexandrov D. A., Tenisheva K., Savelyeva S.
This paper presents the professional college system as a social mobility channel providing maximum benefit with minimum risk. The analysis of institutional features and changes forming this channel in Russia in the last 15 years has been conducted. An institutional context for the emergence of a social group using “university after the college” pathway is described. Group members take an intermediate position between students reproducing a professional worker status and students reproducing a highly qualified professional status. They also have average school results. An analysis of parents’ and students’ perceptions of the motives of the choice, benefits, costs, and risks of the educational pathway demonstrates the importance of local context. An alternative educational pathway is less typical for the rural population because of structural constraints; compared to metropolises, in rural areas this choice is typical for higher status groups. A comparison of technical college systems in different countries confirmed that technical colleges in Germany provide social reproduction whereas in Russia and the USA, they operate as a channel of upward social mobility.
Language: English
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Keywords: vocational educationсреднее профессиональное образованиеmobilitypersistent inequalityinstitutional contextrelative risk aversionсоциальное неравенство и мобильностьинституциональный контекст образовательного выбораизбегание риска
Publication based on the results of:
School differentiation and students’ social environment (2014)
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