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  • Глава 5. «Работа 4.0»: Формирование сетевого взаимодействия на рынке труда в условиях глобализации
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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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Глава 5. «Работа 4.0»: Формирование сетевого взаимодействия на рынке труда в условиях глобализации

Гл. 5. С. 84–94.
Khusyainov T.

this paper attempts to analyze network interaction in the labor market. The position of the worker comes to the fore, his place in various types of network structures and the problems he may encounter in his work are revealed. Under new conditions, an employee becomes an actor in the global labor market, gets the opportunity to engage in networking with other small and large participants. An analysis of the modern Russian and foreign scientific literature is offered, including research on network interaction, the process of uberization, the formation of a network economy, etc. As a result, various models of network organizations are considered, depending on the principles of interaction between the participants, which underlie their construction, and the main characteristics of these models. Particular attention is paid to self-employed in the network labor market in the objective world and virtual reality

Language: Russian
Full text
Keywords: трудовые отношенияглобализацияglobalizationсетевое взаимодействиеinformatizationинформатизацияпостиндустриальное обществоlabor relationsnetworkingpost-industrial societyцифровизациясетевое обществоdigitalizationWork 4.0Работа 4.0network society

In book

Субъект труда и организационная среда: проблемы взаимодействия в условиях глобализации
Тверь: Тверской государственный университет, 2019.
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