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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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Социальные сети как источник изучения политической культуры современного Китая

Полис. Политические исследования. 2024. № 3. С. 92–108.
Bocharova A., Lukin A., Перминова А. А., Puzanova O.

The article systematizes the main approaches adopted by a group of researchers from MGIMO

University, HSE University and the Institute of China and Modern Asia of the Russian Academy

of Sciences, united within the framework of the ”Moscow Project for the Study of Chinese Political

Culture”, to investigate the political culture of modern China through the monitoring of social networks.

The authors analyze the existing ideas about political culture in the Chinese academic discourse, identify

problems in studying the political views of Chinese citizens by traditional sociological methods (surveys,

questionnaires). They further explain the relevance of using social network analysis in modern studies of

Chinese society, and also describe the methodology they developed for studying social networks using

sentiment analysis. The article lays the theoretical and methodological basis for further research on

modern Chinese society based on an array of data from Chinese social networks.

Research target: Political Science, International Relations, and Public Administration Media and Communications
Language: Russian
Full text
DOI
Text on another site
Keywords: political cultureанализ социальных сетейanalysis of social networksобщественное мнениеполитическая культура Китаяonline public opinion
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