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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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Complex pathways of Russian university graduates: which pathways lead upwards?

Higher Education Research and Development. 2026. Vol. 45. No. 5. P. 1375–1392.
Lukina A., Maltseva V., Rozenfeld N.

This study investigates how the complex educational and career pathways of Russian university graduates shape their subjective social mobility, advancing understanding of graduates’ outcomes in a higher education system marked by both broad access and persistent social divides. Drawing on longitudinal data from a nationally representative cohort of Russian youth (2011–2021), the analysis identifies and compares diverse pathways that reflect differentiated modes of higher education entry, graduate program participation, and school-to-work transitions. The findings reveal that non-linear trajectories, especially those that involve extended engagement in education together with early career experience, significantly enhance the likelihood of perceived upward mobility. The research highlights how pathways are differentiated by social origin and cognitive ability, while also demonstrating that qualification-job mismatches are associated with downward mobility. By employing sequence analysis of longitudinal data and focusing on subjective social mobility, the study advances the field by moving beyond traditional, linear conceptions of graduate success. These findings contribute to international understanding of how varied educational and career patterns interact to influence life chances in countries with high higher education attainment, and they underscore the need for new frameworks to assess social advancement in contexts of massified higher education and increasingly complex labor markets.

Research target: Education Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: высшее образованиесубъективная мобильностьsequence analysisанализ последовательностейтраектории в образовании и профессииsubjective social mobilitygraduates pathways higher education
Publication based on the results of:
The formation of a national higher education system: key changes and their effects (2025)
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