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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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Интеграция организаций высшего образования для решения задач социально-экономического развития регионов

Экономика региона. 2020. Т. 16. № 4. С. 1147–1161.
Gaponova O., Smeltsova S. V., Chilipenok Y.

Recently, the topic of regional development has become particularly relevant since regions are gaining more and more autonomy in solving their socio-economic issues. This transformation results in the concern of how to find potential partners for building a regional development strategy, sharing resources and competencies. In this context, it is advisable to consider universities as a significant potential partner. In particular, it is necessary to analyse their role and capabilities in creating a regional strategy, the most relevant forms of interaction, and indicators for assessing the effectiveness of the universities’ integration to address the challenges of regional development. We applied the expert interview method and discussed the problem with representatives of 28 Russian universities who occupy top managerial positions and have an expert opinion on key issues. Based on the analysis of empirical material, we identified three main roles of universities in regional development: a project initiator, a partner, and a source of human and analytical resources. During the resource assessment, we determined that funding is the only scarce resource for universities, while all other resources and competencies can be quickly mobilised if necessary. The most effective
mechanisms for integrating universities to address regional challenges are a consortium of universities and the organisation of project offices with the participation of government and business representatives. The main research result was the identification of quantitative and qualitative criteria characterising the universities’ involvement in solving socio-economic issues of regional development, as well as indicators, which are necessary for their definition. Additionally, we discovered a previously unidentified information and administration group among the quantitative criteria and defined the main stages of assessing the effectiveness of such integration. In regards to the considered issue, a promising direction for further research would be a comparative analysis of the effectiveness of the universities’ integration to address social and economic challenges in different regions of the Russian Federation.

Priority areas: economics management state and public administration
Language: Russian
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Keywords: человеческий капиталвысшее образованиеуниверситетинновацииинтеграциястратегия развитиярегиональная экономикарегиональное развитиеintegrationinnovationsregional developmentregional economyuniversityпоказатели эффективностиdevelopment strategyhigher educationefficiency indicatorshuman capitalэкономические показатели развития территорийeconomic indicators of a territory’s development
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