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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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Mapping Ideas: Semantic Analysis of "PostNauka" Materials

Sociology of Science and Technology. 2018. Vol. 9. No. 1. P. 156–164.
Gorgadze A., Kolycheva A.

"PostNauka" is a project (quite similar to the global set of conferences "TED") about modern fundamental science and the scientists who create it. The website was established in 2012 as a platform, participating in the popularization of scientific knowledge. More than 3000 materials were published on it. Surprisingly, no one has tried to carry out the analysis of these materials until now. We decided to fill this gap by conducting our own research on PostNauka. An inspiring example to be followed was the performance by Sean Gourley and Eric Berlow, who showed the map of themes similarity in the TED-speeches and the way new topics were born on the periphery of global themes. We conducted the same type of analysis for PostNauka to show the existence or the lack of links between topics, to define the extent of interdisciplinarity of the project and to check the rightness of sections proposed by the website. We took all video-materials transcripts published on www.postnauka. ru. Two types of methods were combined for analysis: semantic analysis methods and network analysis. As a result, we got the mind-maps of PostNauka materials. They demonstrate how the materials are tied, which disciplines are exceled and how they are sorting with the official classification of the website.

Research target: Education Sociology (including Demography and Anthropology
Priority areas: sociology humanitarian
Language: English
Full text
Text on another site
Keywords: interdisciplinarityсемантические сетимеждисциплинарностьtext miningsemantic networksPostNaukaco-word mapПостНаука
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