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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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Социальные и культурные факторы как предикторы коммуникативного невербального поведения

СМАЛЬТА. 2014. № 6. С. 37–39.
Chistyakov I.

Overall purpose of this article is analysis of relationship between sociocultural aspects of personality and ways of use this information in prediction of non-verbal behavior. Nowadays, human agent interaction is very actual problem. Current study reveals some ways to define culture and use this in machine learning. We analyzed some papers about modeling of behavior using cultural and social factors evaluation data. So, we can talk about easy to follow step-by-step solution to create models like this. It demonstrates that there are positive ways to use of speculative concept of culture.

Research target: Psychology Political Science, International Relations, and Public Administration
Priority areas: sociology humanitarian
Language: Russian
Full text
Text on another site
Keywords: невербальная коммуникацияnonverbal communicationcommunicative behaviorкоммуникативное поведениеbayesian inferenceбайесовский выводsocial-cultural modelсоциально-культурная модель
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