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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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Social Structure and Agency as Time-scaled Dynamical System. The Case of Scientific Capital

Applied Mathematical Sciences. 2012. Vol. 6. No. 133. P. 133–136.
Shmatko N., Katchanov Y. L.

This article proposes a mathematical model of capital that further develops Pierre Bourdieu’s concept of the scientific field. The model describes the joint evolution of scientific capital, the habitus of scientists, and scientific practice. The model is implemented as a random dynamic system with the help of self-consistent equations in the form of a Lorenz – Haken system.

We show that if the characteristic relaxation time of the scientific capital is far greater than the relaxation times of the habitus of scientists and scientific activity, then the distribution of scientific capital is determined by the correlation of the parameters of external action on the scientific field with the intensity of fluctuations of scientific habitus and scientific activity.

Research target: Mathematics Sociology (including Demography and Anthropology
Priority areas: economics sociology mathematics
Language: English
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Keywords: социология наукисоциальная структуранаучный капиталsocial structureсоциология познанияMathematical models in sociologyScientific capitalSingularSlow-fast systemsStochastic Lorenz systemматематические модели в социологииметоды обработки и анализа социологической информацииприменение теоретико-вероятностных и статистических методовнаука и общество
Publication based on the results of:
Monitoring survey of Highly Qualified R&D Personnel (2013)
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