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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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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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The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations

Russian Meteorology and Hydrology. 2017. No. 6. P. 403–414.
Gordin V. A., Bykov P. L., Tarasova L. L., Vasilenko E. V.

The archives of measurements at a network of stations of Roshydromet stocks of available water capacity and satellite measurements of relative soil moisture topsoil according with the instrument ASCAT (MetOp satellites) were used. The estimation of the statistical structure of the fields of available water capacity in the upper 10- and 20-cm soil layers, correlations were found between the data of remote sensing (RS) data and agrometeorological stations. Developed procedure for automated pre-control ground-based measurements. The algorithm is statistically optimal transform of remote sensing data in estimating the amount of moisture in the upper soil layer.

Research target: Earth Sciences Biology Mathematics
Priority areas: IT and mathematics
Language: English
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Keywords: положительная определенностькорреляционная функцияRemote Sensingcorrelation functionдистанционное зондирование Землиsoil moistureavailable water capacityoptimal interpolationpositive certaintycontrol dimensionsвлажность почвызапасы продуктивной влагиоптимальная интерполяцияконтроль измерений
Publication based on the results of:
Дифференциальные и интегро-дифференциальные уравнения. Включение больших массивов статистической информации. Модели. Аналитические и вычислительные подходы (2016)
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