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June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
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.

 

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Научная составляющая текстов по психологии, публикующихся в социальной сети "ВКонтакте"

Вопросы психологии. 2017. № 6. С. 79–91.
Ledovaya Y., Panicheva P., Причисленко А. Г., Бутаков Н. А.

The past few years have witnessed an increase of, on one hand, interest in popularized scientific knowledge, on the other hand, the number of people who believe in homeopathy and are wary of genetically modified products. It indicates a need for popularizing scientific knowledge including information about scientific psychology and scientifically developed practical methods which must be conveyed to the public at large, to those who take great interest in psychology, but look for information in the mass media rather than at school or university. In the last decade the social networks have become an everyday source of information for many people, especially young, and the quality of information about psychology being spread through the networks is of considerable interest to psychologists. The study described aimed to assess academic quality of psychological texts in theme communities, popular with users of the social network “Vkontakte”. Expert assessment (by young academic psychologists working at research institutes and universities of Moscow and St. Petersburg) helped to identify communities broadcasting academically correct (scientifically proved) and incorrect (not proved scientifically) information about psychology in the network. Texts (news, posts) from the two types of communities were identified with the help of the crawler, a system of collecting data from social networks, and prevalent subjects and terminology were identified with the help of computerized linguistic analysis. The terms “synapse”, “learning”, “axon”, “mediator” could serve as indicators of the academic nature of the texts, while “money”, “happiness”, “introvert” are indicators of the opposite. The authors intend to use the data obtained for developing recommendations for subscribers and network administrators interested in spreading scientific information about psychology.

Research target: Education Psychology Computer Science
Priority areas: sociology IT and mathematics
Language: Russian
Full text
Keywords: социальные сетипсихологиянаукалексические маркерыкраулерчастность слов
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