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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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Национальные и институциональные связи депутатов Народного собрания Республики Дагестан VII созыва

Полития: Анализ. Хроника. Прогноз. 2025. Т. 118. № 3. С. 80–107.
Андриянов Д. А., Брагина А. Б., Kechik U., Chebanova D.

It has long been generally accepted in Political Science that distributed elite networks, rather than institutions, are crucial to the functioning of the Russian political system. One of the important factors in the formation of such networks is ethnicity. Of particular interest is the ethnic dynamics in those regions, where there is no dominant ethnic group and, consequently, mechanisms for balancing interethnic relations are needed. In Russia an extreme example of such regions is Dagestan. The article attempts to test the role of the ethnic factor in forming network relations between the deputies of the People’s Assembly of the Republic of Dagestan. In addition to ethnic ties, it examines institutional and bureaucratic connections based on factional affiliation and parliamentary committee membership. When solving this tasks, the authors employed two unique datasets that they compiled on the basis of the information from People’s Assembly official web page and a number of its archived versions, using network analysis and the exponential random graph models. The research has shown that the main role in structuring People’s Assembly deputies belongs to political party factions and especially to committee affiliations, which have a decisive influence on the formation of relations between deputies, including those that lead to active joint lawmaking. According to the authors’ conclusion, when forming ties between the deputies of Dagestani legislature, the ethnic factor is overall less significant than institutional factors, and the mechanism of the formation of such ties needs further investigation.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: сетевой анализlawmakingзаконотворчествоэтничностьгоризонтальные связиnetwork analysisethnicityRepublic of DagestanРеспублика Дагестанhorizontal relationship
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