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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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Сетевой анализ в применении к изучению связи между научными традициями и исследовательскими методами социальных наук

С. 89–91.
Zaytsev D., Drozdova D.

Why researchers that use statistics always propose hypothesis about associations between variables and try to prove cause-effect relations between them? And, vice versa, why political linguist tend to use discourse analysis to disclose cognitive manipulation by power-holders through the imposition of certain beliefs, which define the social behavior?

In this paper we propose the mapping of existed methods in social sciences, of methodological approaches which stand behind these methods and allow formulating research question, and of philosophical foundations or ontologies which explain what social reality is. Social research is driven not only by chosen methods, but also by approaches and ontology shared by researcher. 

 

Language: Russian
Keywords: сетевой анализsocial network analysisметоды социальных наукmethods in social sciences

In book

Философия науки и техники в России: вызовы информационных технологий
Вологда: Вологодский государственный университет, 2017.
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