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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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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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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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Measurement of the Thermal Conductivity of Carbon Nanowalls by the 3ω Method

JETP Letters. 2023. No. 117. P. 449–455.
Chernodubov D. A., Bondareva J., Shibalov M. V., Mumlyakov A. M., Zhdanov V., Tarkhov M. A., Maslakov K. I., Suetin N. V., Kvashnin D. G., Evlashin S.

Carbon nanowall films with different thicknesses have been obtained by chemical deposition from a gas phase in a dc discharge. The thermal conductivity of the resulting structures has been measured for the first time using the 3ω method in the temperature range of 280–310 K. It has been shown that the thermal conductivity of walls depends on their thickness. The thermal conductivity of 1-μm carbon nanowalls is 6.9 W m–1 K–1. The results obtained in this work are necessary to design electro-optical devices based on carbon nanowalls.

Research target: Physics
Language: English
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Keywords: thermal conductivitycarbonCarbon nanowalls
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