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News
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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Demystifying Blockchain Technology for Resource-Constrained IoT Devices: Parameters, Challenges and Future Perspective

IEEE Access. 2021. No. 9. P. 129264–129277.
Romashkova I., Komarov M. M., Ometov A.

One of the most promising enablers for the secure distributed operation of the Internet of Things (IoT) systems could be based on a mathematical construct widely known as blockchain that aims to neglect the system’s centralization and scalability properties. This paper aims to map the requirements and features of both systems, highlight the main co-existence challenges and technological candidates for smoother integration of IoT and blockchain, as well as provide the standartization outlook. Moreover, an architectural approach to an integrated solution is identified based on classic literature review methodology aiming to consider the IoT versus blockchain characteristics mapping and outlining related challenges. Critical solutions to address the integration bottlenecks include moving from Proof-of-Work (PoW) to Distributed Proof-of-Stake (DPoS) consensus, adding a Fog overlay to the architecture model, and leveraging the synergies combining the benefits of blockchain and IoT technology are highlighted

Research target: Electronics and Electrical Engineering Economics and Management Computer Science
Language: English
DOI
Text on another site
Keywords: интернет вещейкомпьютерная безопасностьcomputer securitydistributed information systemsраспределенные информационные системы Internet of Thingsдецентрализованное управлениеdecentralized control
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