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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.
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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.
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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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Математика как инструмент социальных исследований: к новому пониманию социальной реальности

Логос. 2023. Т. 33. № 4. С. 117–145.
Barabashev A. G.

The present conditions of mathematics application in social sciences and in social applied analytics, is explored. The statement was made that mathematics in social sciences and in social analytics is understood as a set of instrumental methods, that help to obtain results, in contradiction to understanding of mathematics as critical doubt (the requirement of rigor as a doubt of methods correctness). In social sciences and analytics the results are obtained, not critically reasoning. Mathematics in social research is understood as useful methods, and not as theories that ensure the rigor of the application of mathematical methods.

The understanding of the object of mathematics that is elaborated in social sciences also is far from classical concepts of philosophy of mathematics: mathematical objects as ideal entities, as formal constructions, as a priory synthetic, does not dominate. It is revealed that under the influence of practice of mathematical methods application in social research, the new image of social reality and of social ontology appears.  Social reality starting to be understood as measured and the social relations as based on social comparability, because the relations are drawn up from the networks of social actors actions that are possessed by quantitatively comparable rights and responsibilities, values, opinions, beliefs, priorities etc. Moreover, some researchers believe that for social phenomena that do not have measurable indicators, social reality has not yet formed, it is still amorphous, not homogeneous, has not acquired properties of stability, resistance to disturbing influences. Finally, the applicability of mathematics in social research is pushing researchers toward belief that social ontology, whether or not it is understood in an essentialist way, or in “flat ontology” construction (Bruno Latour), is presented in quantitative forms.

Research target: Social Sciences Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: социальные исследованиясоциальная онтологиясоциальная реальностьsocial researchsocial ontologyфилософия математикиsocial realityphilosophy of mathematicsmethodology of mathematical applicationsmathematical methods in social sciencesметодология применения математикиматематические методы в социальных науках
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