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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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Общественное участие в деятельности власти: общественное и партисипаторное бюджетирование и соучаствующее проектирование на уровне муниципалитетов Санкт-Петербурга

Вопросы государственного и муниципального управления. 2023. № 2. С. 103–125.
Sungurov A., Дмитриева А. Е.

The article discusses the global and Russian experience in the development of various approaches for the influence of society on the budgetary process. These are the participation of public organizations in the discussion of the regional or city budget (public budgeting) and the distribution of a small share of the budget by the boards of residents (participatory budgeting). The experience of the project “A budget that can be understood and influenced”, implemented by the St. Petersburg Humanitarian and Political Science Center “Strategy”, is briefly presented in the article. The foreign and domestic experience of another related approach for the civic participation in the activities of the authorities is analyzed - the participatory design of urban space. In case of municipal formations of St. Petersburg, the authors analyze the reasons why municipal deputies choose not participatory budgeting, but participatory design while seeking for ways of civic inclusion in decision-making. Expert interviews were conducted with deputies of four municipalities of St. Petersburg, and the cognitive mapping method was used to analyze the texts of the interviews. The reasons for deputies to make such a choice were the vagueness of the normative support for participatory budgeting, which increased the risk of intervention of the prosecutor's office, disagreements among deputies in municipal councils, as well as obstacles with the availability of expert support. The article discusses the problems of developing an ecosystem of public participation in the activities of authorities.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
DOI
Keywords: местное самоуправлениеpublic participationобщественное участиеpublic budgetingparticipatory budgetingсоучаствующее проектирование local governmentОбщественное бюджетированиеПартисипативное бюджетирование
Publication based on the results of:
Молодежные советы и другие формы общественного участия: сравнение традиционных и цифровых практик (2022)
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