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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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Моделирование эффективности российских университетов

Экономический журнал Высшей школы экономики. 2019. Т. 23. № 1. С. 143–172.
Zinchenko D., Egorov A.

The paper analyses determinants of efficiency of Russian universities. The analysis is based on the data from annual monitoring of performance of higher education institutions conducted by the Ministry of Education and Science. Special attention is paid to the factors that are associated with public policy in the sphere of higher education. In order to explain the variation of the efficiency scores we implement one of the most modern techniques for analysis of efficiency’ determinants – Two-Stage Semi-parametric DEA. The high level of heterogeneity in Russian higher education sector is controlled for by considering two different specifications of DEA model: with the focus on educational activity and with the focus on scientific activity. The results show that relatively less efficient universities are more likely to be affected by the considered efficiency’ determinants compared to efficient ones. Universities that are governed by the Ministry of Education and Science and by regional governments appeared to be relatively more efficient compared to the universities that are governed by another federal authorities except for the Ministry of Education and Science (Ministry of agriculture, Ministry of Healthcare, Ministry of Culture, Ministry of Sport and so on). Governance by the Ministry of Education and Science has the strongest effect on efficiency level among considered factors. Governance by regional authorities has the weakest effect. The total square of buildings available for the university appeared to be positively and statistically significantly related to efficiency level. While the autonomous status has no any effect.

Research target: Education Economics and Management
Priority areas: economics state and public administration
Language: Russian
Full text
DOI
Keywords: высшее образованиеbootstrap procedurehigher educationdeterminants of efficiencyдетерминанты эффективностибутстрэпtwo-stage Semi-parametric DEAдвухшаговая процедура DEA
Publication based on the results of:
Transformation of universities and contribution to societal and economic development (2018)
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