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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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Визуальная социология и развитие социологического воображения

Журнал социологии и социальной антропологии. 2008. Т. XI. № 2. С. 153–167.
Syevina M. V., Ганжа А. О.

The article analyzes methodological aspects of the teaching of visual sociology at the sociological departments of Russian universities. It presents two different approaches towards teaching visual sociology. The course "Sociological imagination: a practical guide to visual sociology" offered by the Sociological Department of Higher School of Economics combines the sociology and photography. The course is given by two professionals. One is a sociologist, the other is a photographer. Students choose main research question and make series of photos, which they analyze both from sociological and photographical points of view. The main idea of the course "The Development of sociological imagination through participant observation and visualization" at the Department of Sociology of Moscow State University is to develop different views of social reality with the help of participant observation and visualization. The course is based on the constructionist ideas of Pierre Bourdieu. Students develop their imagination by using photo, video and audio material. Visual images are used not only for supporting the existing phenomena of social reality but also for constructing new understandings and approaches to the same reality. They are trying to find "the unknown features in the well known context". The authors share their opinions about the main problems they face while teaching the courses and explain their methodological attitudes.

Priority areas: sociology
Language: Russian
Keywords: визуальная социологиясоциологическое воображениефотографиявидеоматериалыvisual sociologysociological imaginationteaching experience of visual methodsphotosvisual materialsphoto diariesопыт преподавания визуальных методовфотодневники
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