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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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Перспективы интеграции новых цифровых технологий в современное образование для повышения его эффективности

Социальная компетентность. 2025. Т. 10. № 2. С. 42–51.
Бояров Е. Н.

The article addresses the problem of integrating new digital technologies into modern education to enhance its effectiveness and quality. The purpose of the study is to summarize theoretical and practical approaches to the use of digital tools in educational environments and to identify key directions and barriers to the digital transformation of education. The research methods include analysis of scientific literature and publications, comparative analysis of different approaches, generalization of pedagogical experience, systematization, and data interpretation. The results confirm that the integration of Big Data technologies, digital footprint analysis, and blockchain systems contributes to the creation of personalized learning pathways, improves transparency and security of educational processes, and optimizes educational program management. The key conclusion is the need for a comprehensive and strategic approach to the digitalization of education, considering organizational, regulatory, and ethical aspects. The novelty of the article lies in the development of a conceptual model for the interaction of key digital technologies in the educational system aimed at increasing its efficiency and sustainability in the digital era.

Language: Russian
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Keywords: образовательные технологииeducational technologiesbig databig dataблокчейнцифровая трансформация personalized learningцифровизация образованияперсонализация обучения blockchainЦифровой следDigital footprintdigital transformation digitalization of educationинновационные подходы в образованииinnovative approaches in education
Publication based on the results of:
Индустриальная культура: цифровые решения для исследовательской экосистемы (2025)
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