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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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О влиянии институциональных трансформаций на результативность российской аспирантуры

Высшее образование в России. 2022. Т. 31. № 11. С. 9–29.
Бедный Б. И., Рыбаков Н. В., Zhuchkova S.

Currently, enhancement of doctoral education performance is becoming one of the central tasks for state policy in the field of science and education. In 2013-2015, Russian doctoral education experienced radical transformations aimed to increase the performance of doctoral programs and enhance the quality of dissertations. First, doctoral education moved towards the structured (educational) model. Second, norms and rules of the work of dissertation boards changed significantly. The purpose of this study is to explore how these reforms affected the performance of doctoral education. The empirical base for the study comprises of data on dissertations defence of graduates of 2018 at 12 Russian universities (N=1022), which were collected by the authors using the web scraping technique. The main findings obtained from the analysis of these data are threefold. First, time-to-degree has increased with most of the dissertations now being defended only after the completion of the programs. Second, in social sciences, this delay of defence has intensified abnormally (80% of dissertation in this field are defended after the program completion). Third, the actual performance, i.e., one that takes into account dissertations defended after the program completion, has decreased significantly in social sciences and humanities. These results show that the traditional practice to evaluate performance based on the proportion of graduates who defend their dissertations during the normative period of time does not reflect the reality. To made adequate managerial decisions regarding doctoral education, it is necessary to arrange the monitoring of dynamics of dissertations that are defended after the program completion both on institution and state levels.

Research target: Education
Language: Russian
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Keywords: научные кадрыаспирантурадиссертационные советыresearch staffdoctoral educationdissertation boardstime-to-completionindicators of doctoral education performanceсроки подготовки диссертацийпоказатели результативности аспирантуры
Publication based on the results of:
Educational environment and student experience in higher education (2022)
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