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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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"Исследовательские умения" в сознании студентов

Вопросы психолингвистики. 2018. № 3(37). С. 64–81.
Petrova E.

This article describes the results of an associative experiment conducted with students of the 1-4 courses of the Faculty of World Economy and World Politics and the School of Oriental Studies at the Higher School of Economics in order to identify students' ideas about the research skills in the dynamics of development from the 1st to the 4th course.

The results of the experiment are presented, which are interpreted meaningfully in the dynamics of development from the first to the fourth year.
Comparison of the scientific understanding of research skills and the representation of the experience in the associative experiment show that in the minds of students these representations are broader and more diverse, especially due to the evaluation parameters, the inclusion of the personal qualities of the researcher and other concepts associated with them.

Priority areas: humanitarian
Language: Russian
Full text
Keywords: ассоциативный экспериментисследовательские уменияresearch skillsassociative experimentbrightness of parametersage specificityяркость параметроввозрастная специфика
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