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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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Факторы мобильности на рынке труда в современной России: имеют ли значение социальные связи?

Экономическая социология. 2026. Т. 27. № 1. С. 43–78.
Халиков К.

The aim of this study is to assess the impact of various factors, including social networks, on labor market mobility in modern Russia. The main assumption is that weak ties facilitate taking a better job. The empirical base consists of  data from the Russian Longitudinal Monitoring Survey (RLMS) of HSE for 2016–2017 and 2018–2019. Based on exploratory factor analysis, indicators of different types of social ties were constructed: weak ties include ties with acquaintances and colleagues; with organizations; online networks; and strong ties include ties with friends and relatives. Binary logistic regression estimated the chances of the unemployed going to work, while multinomial logistic regression assessed the chances of employed people for vertical and horizontal interfirm and intrafirm mobility, as well as transitions to unemployment or inactivity. Men, people with higher education, and lower specific work experience are more inclined to labor mobility. The best opportunities for intra-firm growth are among those employed by state enterprises and those holding a higher position. The study found a significant positive effect of increased education and improved health on mobility, a negative effect of health deterioration, and a higher propensity for mobility among those dissatisfied with their current job. Granovetter’s assumption about a greater influence of weak social ties on the ability to get a good job could not be confirmed, although due to the instability of the results, it cannot be refuted either. The model estimates showed a stable and equally strong effect of both strong (with friends) and weak (with acquaintances, former colleagues, neighbors) ties on the chances of finding a job for the unemployed, as well as a negative effect of online social networks on the chances of becoming inactive for the employed. No effect of social connections on intra-firm growth was found, and the effect of online networks on inter-firm promotion was inconsistent.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
DOI
Keywords: социальный капиталсоциальные сетипоиск работыsocial capitalsocial networksjob searchмобильность на рынке трудасильные/слабые социальные связиlabor market mobilityweak social tiesstrong social ties
Publication based on the results of:
Monitoring the socio-economic conditions of households in Russia, 1994-2026 (2027)
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