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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.
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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Evolution of MEG: a first MEG-feasible fluxgate magnetometer

Human Brain Mapping. 2021. Vol. 42. No. 15. P. 4844–4856.
Koshev N., Butorina A., Skidchenko E., Kuzmich A., Ossadtchi A., Ostras M., Fedorov M., Vetoshko P.

Abstract In the current article, we present the first solid-state sensor feasible for magnetoencephalography (MEG) that works at room temperature. The sensor is a fluxgate magnetometer based on yttrium-iron garnet films (YIGM). In this feasibility study, we prove the concept of usage of the YIGM in terms of MEG by registering a simple brain induced field—the human alpha rhythm. All the experiments and results are validated with usage of another kind of high-sensitive magnetometers—optically pumped magnetometer, which currently appears to be well-established in terms of MEG.

Research target: Natural Sciences Biology Medical Technologies Medical and Health Sciences
Language: English
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DOI
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Keywords: alpha rhythmmagnetoencephalography (MEG)fluxgate magnetometersoptically pumped magnetometersyttrium-iron garnet magnetometers
Publication based on the results of:
Двунаправленные электрокортикографические интерфейсы мозг-компьютер для управления, стимуляции и коммуникации (2020)
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