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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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Бедность работающих: как изменились детерминанты в России за 20 лет?

Социологическая наука и социальная практика. 2021. Т. 9. № 4. С. 23–41.
Anikin V. A., Slobodenyuk E.

This paper examines the determinants of in-work poverty and estimates the probability of falling into poverty for various groups of the Russian population in 1998 and 2018. Drawing from the representative RLMS HSE cross-sections, we showed that, despite a large-scale reduction in Russian poverty in 1998-2018, the ratio of structural and individual determinants did not change substantially. At the same time, the configuration of structural determinants has changed. In 2018, personal efforts became less crucial in reducing the likelihood of falling into poverty; the job characteristics and settlement inequalities have become eventually prominent. By 2018, women and rural residents were at the highest chance of poverty, although in 1998, men and a predominantly urban population were at risk. The long-term conservation of “bad” jobs in routine labour and the unequal distribution of the gains from de-industrialization between urban and rural areas over the past two decades are seen as the main explanations for the nature of Russian in-work poverty.

Research target: Social Sciences
Language: Russian
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Keywords: бедностьдомохозяйствадоходыwagesзаработная платаhouseholdspovertyincomeработающие бедныеworking poor
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