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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.
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‘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.
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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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Этнический фактор в голосовании на местном уровне в России

Полития: Анализ. Хроника. Прогноз. 2022. Т. 105. № 2. С. 102–117.
Semyonov A.

Ethnicity, being one of the most important forms of selfidentification, plays a significant role in many political processes, including the electoral process. Many research articles document a systematic relationship between ethnic identity and voting. At the same time, there is a dearth of studies about the concrete mechanisms on how ethnicity and voting are connected at the individual level. The question of their efficiency remains debatable. In the article, based on the materials of the focus group discussions in small towns in five ethnic republics of the Russian Federation, the author analyzes such mechanisms and tries to assess their possible effects in the Russian context. The research study shows that the factor of ethnicity is very weak in voting at the local level. Although ethnic identification helps reduce information uncertainty due to the presence of the common cultural markers, these markers are not the only or even the priority basis for electoral choices — the socio-economic agenda and personal qualities of candidates are equally or even more important. Such mechanisms as group pressure and political machines that are driven by ethnicity almost fail to predict electoral behavior. The research findings call into question a number of conclusions based on the crosssectional analysis of aggregated data, indicating that even if ethnicity plays a role in voting, this role is mediated by other factors.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: Russian
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Keywords: этничностьголосованиеvotingethnicitypolitical machinesполитические машиныpeer pressureinformation uncertaintyинформационная неопределенностьгрупповое давление
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