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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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Студенческое представительство в университетском управлении: факторы вовлеченности

Мониторинг общественного мнения: Экономические и социальные перемены. 2022. № 2. С. 140–167.
Efimov D. B.

The article is devoted to student representation, as an aspect of university management that is underinvestigated in Russia, but important in the world context. Based on previous studies on students` representation the author tests the key hypotheses on its possible determinants using dataset on elections of student representation bodies in the Higher School of Economics (Moscow) in 2019. Three groups of factors are highlighted according to the participation intensity. The general factors include education level, financial, academic, and social success, the number of groupmates-candidates. Next, most active representation participants are also characterized by male gender, state education financing, metropolitan origin, interaction with university faculty members, positive perception of competition in elections. At last, less active participants are characterized by female gender, commercial financing of education, regional origin, diversified information consumption, negative perception of a large competition in elections. Based on the main results of the study the author provides recommendations for the university educational policy: reduce internal inequalities and cleavages in both social and informational aspects.

Research target: Sociology (including Demography and Anthropology Education
Language: Russian
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Keywords: студенческое самоуправлениеуниверситетское управлениестуденческая вовлеченностьstudent representationuniversity governanceстуденческое представительствоstudent engagementstudent councilsстуденческие советыstudent participation in university governance
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