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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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Стратегическое управление компанией в условиях цифровой трансформации: анализ концепций, подходов и методов

Вестник Санкт-Петербургского университета. Серия 8. Менеджмент. 2022. Т. 21. № 3. С. 370–394.
Stoyanova O., Lezina T., Иванова В. В.

Nowadays, the level of digitalization of Russian companies varies greatly depending on their scale, industry, form of ownership, etc. The low efficiency of management systems is one of the key reasons for an insufficiently fast or unsuccessful digital transformation of many Russian companies, which is caused both by the lack of management experience in the context of digital transformation and the undeveloped mechanisms of such management. The latter circumstance determines the important scientific problem of developing the methodological basis of strategic management of companies during digital transformation; the initial stage of which is the analysis of the current state of research in this area. The purpose of the study is to identify research prospects, as well as problems that need to be solved to create a methodology for strategic management of companies implementing digital transformation projects. A bibliometric and content analysis of published works was carried out, including a multi-staged publication selection procedure, which reduced the original list of papers from 516 items to 135 ones. The article offers the answers to the following questions: what preconditions for changing the theory and practice of management are created by digital transformation; what ideas and solutions concerning the concept and methodology of strategic management are proposed by the scientific community. Based on the systematization of the results of numerous studies, the paper identifies priority tasks for the development of an improved strategic management methodology. These tasks include improving the strategic management conception, enhancing strategic management mechanisms, developing a system for identifying mechanisms for companies of different strategic orientations and levels of readiness for digital transformation, and developing practice-oriented recommendations for the integrated use of strategic management methods to provide information support for the management processes in domestic companies.

Research target: Economics and Management
Language: Russian
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Keywords: стратегическое управлениецифровая трансформация strategic managementcurrent state of researchanalysis of approachesсовременное состояние исследованийанализ подходовdigital transformation
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