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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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Говорите по очереди: нетехническое введение в конверсационный анализ

Социологическое обозрение. 2015. Т. 14. № 1. С. 120–141.
Korbut A.

This preface to the translation of Harvey Sacks, Emmanuel Schegloff, and Gail Jefferson’s paper “A Simplest Systematics for the Organization of Turn-Taking for Conversation” discusses the conceptual and methodological foundations of conversation analysis. It shows that conversation analysis, which embodies the program of primitive natural social science formulated by Harvey Sachs, offers a revolutionary approach to the study of social phenomena, based on detailed analysis of naturally occurring everyday interactions. While remaining closely related to Harold Garfinkel’s ethnomethodology, conversation analysis shows how careful and detailed can be sociological descriptions that involve the discovery of general mechanisms (“machinery”) of the production of single events of conversation or any other social practice. This approach, however, risks losing the original purpose of studying the local concerted work of mutual understanding by the participants in social situations. The accumulation of the descriptions of general mechanisms of interactions’ production and perception brings the tendency of formalization into conversation analysis: analysts tend to collect the instances and properties of already known “interactional techniques.” The article considers the importance of “Simplest Systematics" in terms of the development of original program of conversation analysis, and discusses the peculiarities of translation of conversation analysis’s key terms into Russian.

Research target: Sociology (including Demography and Anthropology Philology and Linguistics
Priority areas: sociology
Language: Russian
Full text
Text on another site
Keywords: социология повседневностиэтнометодологияметодология социологииконверсационный анализХарви Сакспрактика разговора
Publication based on the results of:
Power, trust and authority as the structures of social order and the concepts describing social life  (2015)
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