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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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Мобильность и карьерные перспективы исследователей на рынке труда

Высшее образование в России. 2017. № 12 (1). С. 35–46.
Shmatko N., Volkova G.

The paper provides an overview of modern concepts of researchers’ mobility and migration, including concepts "brain drain" and "brain circulation".  The Mobility is considered as one of the most important driver of research career on academic and nonacademic labor markets. Using the data from the empirical study of Russian doctorate holders, the paper shows the main trends in international and domestic (intrasectoral and inersectoral) mobility and the impact that mobility has on the career opportunities of young scientists. Mobility rates of Russian doctorate holders are compared with those obtained in the international project "Careers of Doctorate Holders " (OECD, Eurostat, UNESCO Institute for Statistics). The results indicate that the main trends inherent in the Russian academic labour market are similar to those in the European and global labour markets. The findings of study indicates  that mobile Russian researchers are more demanded in the national labor market, and are also involved in the "synchronous mobility", when the scientist can have multiple affiliations and work simultaneously in several countries.

Priority areas: sociology
Language: Russian
Keywords: утечка мозговнаучные кадрыlabour marketmigrationисследователиbrain drainмиграция научных кадроваффилиацияакадемический рынокмобильность в наукеDoctorate Holdersscientific mobilitybrain circulationsynchronous mobilitymultiple affiliationsциркуляция мозговсинхронная мобильность
Publication based on the results of:
Development of theoretical and methodological approaches to studying activities of innovation process participants (2017)
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