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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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2019 Twefth International Conference "Management of large-scale system development" (MLSD)

IEEE, 2019.
Academic editor: D. Novikov, V. Ivanter, A. Makarov, V. Makarov, Y. Popkov, L. Dimitrov, F. Yalaoui, G. Filip Florin, N. Karcanias, P. Kopacek, L. Stapleton, S. Meerkov, S. Napel
Editor-in-chief: A. Tsvirkun
Under the general editorship: S. Vassilyev

The book provides the list of scientific researches in such areas as innovations, tendencies, practical problems and strategies of development for financial, economic, industrial, energy, medical, biological, transport and other large-scale systems. 
All publications are reffered according to scopus requirements. 

Chapters
Algorithm for assessing and managing key financial performance indicators of a sports club
Kornilova S., Sizykh N., , in: 2019 Twefth International Conference "Management of large-scale system development" (MLSD).: IEEE, 2019. P. 1–3.
In the paper is proposed an algorithm and functional model for identifying key indicators of the financial performance of sports clubs. The obtained indicators are representative and recommended to managers for monitoring and management. Relevant automation recommendations have been developed that will help managers make decisions and minimize the costs of managerial errors. ...
Added: October 24, 2019
Application of the Hurst exponent for the stock prices forecasting in investment systems management
Sizykh D., Sizykh N., , in: 2019 Twefth International Conference "Management of large-scale system development" (MLSD).: IEEE, 2019. P. 1–3.
In the carried out research is confirmed that the application of the Hurst exponent in forecasting the time series of stock prices and stability of trend can improve forecasting results, but it is possible only in the short-term time period. The Hurst exponent can be used as an additional indicator (data risk in forecasting) and ...
Added: October 24, 2019
The cluster analysis method as an instrument for selection of securities in the construction of an investment portfolio
Tyukhova E., Sizykh D., , in: 2019 Twefth International Conference "Management of large-scale system development" (MLSD).: IEEE, 2019. P. 1–3.
In the paper are presented research results on the application of cluster analysis for the formation of a securities portfolio. There are identified features of cluster analysis applicating various indicators characterizing shares: share prices, share prices movement, and various market multipliers of issuers. It is shown the application possibility of cluster analysis in the Robo-Advisors' ...
Added: October 24, 2019
Priority areas: economics management IT and mathematics mathematics engineering science
Language: English
Keywords: system analysisforecasting in managementanalytical forecastingLarge-Scale SystemEconomic Systemcomplex forecasting
2019 Twefth International Conference "Management of large-scale system development" (MLSD)
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Iterative construction of the R-matrices in arbitrary dimensions
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We investigate a special ansats that allows for an iterative solution of the constant Yang-Baxter equation. Testing this ansatz, we construct four sequences of the constant R-matrices. In each sequence the R-matrices act on the tensor squares of vector spaces of linearly growing dimensions. Each R-matrix also depends on a single complex parameter. By analyzing the ...
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