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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
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The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Overqualification of Russian employees: scale, determinants, consequences

Sotsiologicheskie Issledovaniya. 2021. No. 12. P. 175–184.
Varshavskaya E.

The research objective is to estimate the scale
of overqualification mismatch of Russian employees, to find its determinants and influence
on potential turnover and job satisfaction. The empirical basis of the work was microdata
from the Comprehensive Living Conditions Survey conducted by Rosstat in 2018. Measurement
of qualification mismatch is based on respondents' self-assessment. About half of Russian
employees assess their qualifications as excessive. Regression analysis has shown that the most
significant determinant of overqualification is the level of education. Work in the informal
sector, poor working conditions, excessive education and work not in the specialty increase
the probability that the employee will consider himself/herself overqualified. It has been proved
that overqualification is a significant predictor of labor behavior. The probability of searching
for a new, more suitable job is higher for those employees who assess their qualifications as
excessive. Overqualification has a negative effect on job satisfaction, reducing the likelihood
of feeling satisfied and increasing the risks of dissatisfaction.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: English
Full text
DOI
Keywords: удовлетворенность трудомjob satisfactionквалификационное несоответствиеизбыточная квалификацияпотенциальная текучестьqualification mismatchoverqualificationpotential turnover
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