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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Простейшая систематика организации очередности в разговоре

Социологическое обозрение. 2015. Т. 14. № 1. С. 142–202.
Сакс Х., Щеглофф Э., Джефферсон Г.
Translator: Korbut A.

The article is the first Russian translation of the most well-known piece in conversation analysis (CA), written by the founders of CA Harvey Sacks, Emanuel Schegloff and Gail Jefferson. It has become a milestone in the development of the discipline. The authors offer a comprehensive approach to the study of conversational interactions. The approach is based on the analysis of detailed transcripts of the records of natural conversations. The authors show that in the course of the conversation co-conversationalists use a number of techniques to organize the turn-taking. These techniques are combined in four rules: (1) the first option is the transfer of speakership via allocation of the next speaker by the current speaker; (2) if this first option is not realized, turn-taking may happen via the self-selection by one of the participants; (3) if the second option remains unrealized too, the current speaker continues speaking, (4) with all three options being recurrently provided at all next transition relevant places. The result of the operation of these rules is an orderly conversation based on the principle “one speaker at a time.” According to the authors, this model is compatible with obvious observations concerning conversational practices that they make. The authors show that in every conversation there is a turn-taking system in operation, which provides for a flexible adaptation of the every conversation’s structure to any possible topics and any possible speakers’ identities. Such approach considers how the participants in social interactions order their communication with each other, achieving a sense of normally occurring interaction.

Research target: Sociology (including Demography and Anthropology Philology and Linguistics
Priority areas: sociology
Language: Russian
Text on another site
Keywords: конверсационный анализорганизация разговорачередование говорящихструктура взаимодействияконструирование высказыванийтранскрибирование разговорной речи
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