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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Профессиональная структура рабочей силы в странах Европы: о чем свидетельствуют прогнозы?

Вестник международных организаций: образование, наука, новая экономика. 2017. Т. 12. № 4. С. 109–129.
Vishnevskaya N., Zudina A. A.

The paper analyzes the future occupational structure of labour force in OECD European countries. Occupational structure forecasts allow researchers to evaluate the quality of job openings and, consequently, the overall future labor market performance. Identification of features of demand for certain occupations in Europe can also help to understand whether the processes occurring on the Russian labour market are consistent with the global trends. The paper discusses the methodology of labour force forecasting and basic research approaches to the prediction of occupational structure changes. It emphasizes the issue of the dynamics of demand for representatives of certain occupations in Europe by distinguishing fastest growing occupations and fastest declining occupations together with possible reasons for the changes in demand for them. The paper demonstrates that the main occupational trend over the next decade will consists in the increasing importance of professionals, as well as technicians and associate professionals. The increase in the demand for health professionals and representatives of occupations providing scientific and technological breakthrough, will be most significant. At the same time it is expected that the demand for elementary occupations will also rise. This process will evolve simultaneously with the decrease in the total amount of skilled and semi-skilled blue-collar occupations which happens due to the globalization and the reduction of industrial production in the developed economies. The ongoing "mechanization" of many job functions still can’t eliminate the need for such occupations as cleaners, laborers, domestic servants, personal workers etc. The presence of these jobs allow employees with low levels of education remain in the labor market and thus not to depend on the social benefit system. Another tendency for all countries with developed economies will be connected to the reduction of demand for many white collar occupations. This comes as a result of a further spread of modern computer technologies and automation of many routine functions previously performed by office workers.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Text on another site
Keywords: рынок трудаОЭСРЕвропапрогнозированиепрофессиональная структураспрос на трудкачество рабочих мест
Publication based on the results of:
The socio-demographic groups on the Russian labour market (2017)
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Institutions, Normative Expectations, and Harassment Bribery: Evidence from a Three-country Experiment
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Added: July 15, 2026
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Added: July 5, 2026
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