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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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Человеческий капитал российских рабочих: общее состояние и специфические особенности

Мир России: Социология, этнология. 2017. Т. 26. № 3. С. 6–35.
Tikhonova N. E., Каравай А. В.

The article focuses on the questions concerning quality of the human capital of workers in modern Russia, their heterogeneity in that respect, and the role played by human capital in differentiation of Russian labor force in general and workers in particular. The analysis is based on the data from 24th wave of the Russia Longitudinal Monitoring Survey - Higher School of Economics (RLMS-HSE) (October 2014 - February 2015); the sample is 12908 individuals, including 2352 workers. Identification of professional statuses was based on the ISCO-08. The article gives an overall assessment of the human capital of working Russians. It is shown that in respect of their human capital quality, workers are divided in two groups with 3:1 ratio. The smaller group possesses high-quality human capital, including higher level of learning experience and skills of using modern digital technologies. This subgroup of workers can make basic labor pool for innovative transformations in the Russian economy in the conditions of development of clear signals on the importance of professional training, in particular – in case of rigid connection between professional training and wages. Using various specifications of Mincer equation, it is shown that currently the situation is quite different, and the quality of human capital has practically no effect on the wages of workers. As a result, even workers with high-quality human capital mostly do not have professional training that match their employment profile (except for on the job training) and do not seek to improve their skills, considering their professionalism to be already high enough.

Research target: Economics and Management Sociology (including Demography and Anthropology
Priority areas: economics sociology state and public administration humanitarian
Language: Russian
Text on another site
Keywords: человеческий капиталсоциальная структурарабочиепрофессиональные группыoccupational structuresocial structure in Russiawokershuman capital
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