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Subject
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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Международная мобильность исследователей социальных и гуманитарных наук: стратегии адаптации и последствия для профессиональной деятельности

Социологический журнал. 2026. Т. 32. № 2.
Marinina E. I.
In press

The article presents the results of a qualitative study of the impact of long-term international mobility on the professional development of researchers in the social sciences and humanities. Against the background of the global growth of competition for human capital, the mobility of scientists has become an integral feature of the modern academic landscape. However, unlike STEM disciplines, the specifics of social sciences and humanities, including language barriers, contextual rootedness and locality of academic markets, create additional challenges for their adaptation and professional development after mobility.

The analysis is based on the theory of the researcher's three careers (cognitive, organizational, and community careers) by J. Glaser and G. Laudel. Using this approach allows us to find that relocation affects these career dimensions unevenly: organizational career turns out to be closely related to the national and local context, community career depends on the branching of social and professional ties and the level of international recognition, cognitive career is determined by the universality of competencies. The empirical database consists of 21 in-depth interviews with Russian researchers of social sciences and humanities who have left Russia and have been living abroad for more than one year.

Three key strategies of adaptation and effects on professional development after mobility were identified: reassembling the network of contacts; reconfiguration of professional identity (going into applied research or retraining); transition to less qualified positions. The analysis shows that long-term mobility can both stimulate professional growth and lead to deprofessionalization, stagnation of cognitive career and loss of social capital. The results highlight the need to develop targeted support measures for mobile researchers in the social sciences and humanities, taking into account their career stage and disciplinary specifics.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Keywords: международная мобильность научных кадров
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