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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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Разработка и апробация портативной системы с биологической обратной связью по данным кожно-гальванической реакции для управления психоэмоциональным состоянием

Теоретическая и экспериментальная психология. 2025. Т. 18. № 4. С. 237–256.
Барыкина А. Н., Бондарчук Е. А., Ivanov I., Глотова Г. А., Polikanova I.

Background. In the context of a fast-paced lifestyle and high stress levels, assessing and managing psycho-emotional states has become an important task. Traditional methods, such as questionnaires, have limited accuracy due to the subjectivity of data, whereas physiological approaches, including the measurement of galvanic skin response (GSR), provide an objective assessment. However, existing devices for GSR recording are bulky and expensive, which limits their application. This article explores the possibility of using a portable biofeedback system (BFS) based on GSR. Objective. Development and testing of a portable biofeedback system (BFS) based on GSR, which combines sufficient measurement accuracy, ease of use, and the ability to integrate into daily life. Study Participants. A total of 43 individuals participated in the study. Methods. Comparative and correlational analyses were performed on data obtained from a portable GSR sensor and a laboratory EEG (NVX36). Data acquisition took place during a psycho-emotional task. A study was conducted to determine the opti mal sensor placement using descriptive and comparative methods. Regression analy sis was performed to configure the mobile application algorithm. A visualization was developed within the application to assess the user’s psycho-emotional state. Data vi sualization and graph analysis were employed at all stages. Results. The developed sensor demonstrated results comparable to laboratory equip ment, despite a slight delay in response. The fingers were identified to be the optimal placement for the sensor, as the signal from them is clearer and more stable. The mo bile application algorithm effectively aids in training emotional self-regulation. Conclusions. The portable BOS system based on GSR demonstrates sufficient accura cy and convenience, making it promising for everyday use. The results of this work can be applied to further research in the field of portable devices aimed at self-regulation training.

Research target: Electronics and Electrical Engineering Psychology Medical Technologies
Language: Russian
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Keywords: биологическая обратная связьBiofeedbackБОСмобильное приложениеMobile Applicationgalvanic skin responseкожно-гальваническая реакцияportable devicesпсихоэмоциональное состояние человекаpsycho-emotional stateemotional self-regulationКГРпортативное устройствоэмоциональная саморегуляция
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Added: December 26, 2023
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