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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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Algorithmic management in the focus of sociology of technology

RUDN Journal of Sociology. 2024. Vol. 24. No. 3. P. 734–746.
Yudina M.

This article considers the managerial aspect of digital transformation - various programs and infrastructure that have recently received the general name “algorithmic management”. The boom in the use of such tools occurred during the covid-19 pandemic as a unique set of circumstances for the digitalization of human life. The authorities of several countries monitored their citizens’ behavior, including with the QR-code systems that limited their rights, in the fight against the spread of the covid-19, which has caused discussions and even protests. Businesses accelerated their digital transformation in HR management due to government restrictions and lockdown measures and to production needs in the new conditions. Quarantines are over, but the active development of algorithmic management continues; it extends beyond the platform economy and plays an integral role in Industry 4.0, which makes the study of algorithmic management relevant and timely. A significant contribution to understanding algorithmic management was made by the report of the experts from the European Commission and International Labor Organization. Based on the relevant publications up to 2022, they suggested giving up the narrow understanding of algorithmic management as a platform economy issue; however, most studies are still based on this interpretation. The article presents a broader definition to identify additional social contradictions and challenges of digital transformation. The author considers algorithmic management in the perspective of sociology of management and sociology of technology, in particular the works of A. Feenberg and P. Edwards. The approach of sociology of technologies studies (STS) allowed the author not only to analyze the events of the recent pandemic but also to consider the future of such technologies under the transition towards Industry 4.0. The article identifies three elements of algorithmic management together with hidden social-managerial biases and contradictions related to their implementation and shows how the new approach integrates direct and indirect control in management.

Research target: Sociology (including Demography and Anthropology
Language: English
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Keywords: менеджментmanagementконтрольcontrolstressстресснаблюдениеSurveillanceИндустрия 4.0.платформенная экономикаPlatform EconomyIndustry 4.0алгоритмическое управлениеAlgorithmic management
Publication based on the results of:
Human-centered digital public administration: definition and development of a methodology for analysis (2024)
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