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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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Framing emerging nanotechnologies: steps towards a forward-looking analysis of skills

NRU Higher School of Economics , 2013. No. 15.
Fursov K., Miles I. D.
How can we think about the implications of radical technological change for employment and skills? Given the long lead-times required to train professionals, this is an important question, and standard approaches to modeling employment and occupational trends only provide limited parts of the answer. Innovation studies provide us with some further tools for tackling the question, such as diffusion and industry life-cycle analysis, and ideas about different sorts of technological change (including technical paradigms, regimes, and trajectories of change), which are very relevant to emerging technologies like nanotechnology. There are many claims and much argument about the scope and speed of the evolution of nanotechnology. It poses particular challenges to conventional forecasting approaches precisely because it is difficult to resolve such debates in the infancy of a technology, and in this case knowledge is fragmented because of the intersection of numerous lines of development at the nano-scale. Current skill and employment projections for nanoindustries are problematic, so it is important to consider new ways to improve understanding and provide more policy-relevant intelligence.    
Research target: Economics and Management Mathematics Sociology (including Demography and Anthropology
Priority areas: economics sociology management
Language: English
Full text
Text on another site
Keywords: форсайтстатистикаstatisticsforesightnanotechnologyemerging technologiesвозникающие технологии нанотехнологии
Publication based on the results of:
The Monitoring Survey of Innovative Behavior of the Population (2013)
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