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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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Поведенческая обстановка как основа порядка взаимодействия (на примере исследований бездомности)

Социологические исследования. 2026. № 2. С. 62–73.
Мальков М. Д.

We problematize the foundations of a special type of social order – the interaction order – as conceptualized by sociologist Erving Goffman. The interaction oreder that unfolds in a social situation of physical co-presence may have different foundations: it may be self-sustaining, autonomous and separate from other orders, grounded in the cognitive resources of the participants in the interaction, or provided by the “behavioral setting” in which the interaction takes place. Despite importance and relevance of all three components, we propose to draw on Bruno Latour’s arguments to conceptualize the behavioral setting as a material setting that coordinates and guides the “situational” in interaction and argue that it is the behavioral setting that grounds the interaction order. We propose to place this theoretical discussion in the context of homelessness research that focuses on interactions with people without homes in public spaces. Through these studies, which problematize the boundary between the private and the public, it becomes possible to trace the key role of behavioral settings, which are, in Goffman’s terms, not “merely situated,” but include the situation itself in their framework, guiding and coordinating the order of the “situational” in interaction. The proposed interpretation of the foundation of the interaction order, as localized within a behavioral setting, shifts the theoretical focus of interaction studies toward materiality. At the empirical level, it enables a critical evaluation of those homelessness assistance initiatives that fail to take into account the significance of the behavioral environments within which interactions with homeless individuals take place.

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: homelessnessбездомностьБруно ЛатурматериальностьИрвинг Гофманпорядок взаимодействияmaterialityErving GoffmanBruno Latourinteraction orderbehavioral settingповеденческая обстановка
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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