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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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Urban Digital Services in The Social Media Space: Communication Patterns, Thematic Priorities and User Reactions

P. 62–67.
Filatova Olga, Nizomutdinov B.

This study continues a series of papers analyzing the effectiveness of the city's digital services ecosystem being developed by the St. Petersburg government. The empirical object in this paper is the "Unified Card of St. Petersburg» (UCP) smart card — a multifunctional electronic service that facilitates interaction between citizens and government agencies. Since social media serves as an important source of data in today's digital society, a study was conducted of user publication activity on VKontakte related to the implementation and use of the UCP. This study identified communication patterns and thematic priorities that influence user awareness and satisfaction. A total of 2,790 messages were collected from VKontakte user pages for the keywords "UCP" and "Unified Card of St. Petersburg." A quantitative content analysis was conducted, allowing the content of media messages to be examined by counting the frequency of occurrence of specific elements. In addition to content analysis, the study relies on open data, internal documents, expert interviews, and a number of other methods. The study demonstrates the successful integration of the Unified Card of St. Petersburg into the St. Petersburg media environment and provides valuable data for further analysis. The identified communication patterns, thematic priorities and user responses enable the development of strategically sound approaches to the
development and promotion of digital services, taking into account both strengths and areas for potential improvement.

Language: English
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Keywords: ecosystemmedia environmentdigital services

In book

Proceedings of the 2026 Communication Strategies in Digital Society Seminar (2026 ComSDS)
IEEE, 2026.
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