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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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Цифровое доверие как основа датацентричного управления: результаты опросного эксперимента

Мониторинг общественного мнения: Экономические и социальные перемены. 2025. № 1. С. 168–194.
Sanina A., Semenova A., Styrin E. M., Ataeva A.

Contemporary public administration is increasingly moving towards a data-centric approach, based on the integration of data into decision-making processes. As the transition to such a model implies digital interaction between government agencies, not only among themselves but also with businesses and citizens, the success of digital initiatives directly depends on the level of trust in digital services and state institutions. This article assesses and statistically confirms the significance of factors influencing citizen trust in data-driven governance using structural equation modeling (SEM). The analysis of the survey experiment results showed that trust in government institutions/organizations is positively correlated with citizen trust in data-driven governance. It was also established that trust in technical systems acts as a mediator between trust in individual technologies and citizen trust in data-driven governance. The application of SEM confirms the correspondence of trust in technical systems and government institutions/ organizations with the implementation of a data-centric model of public administration based on empirical data, introducing important adjustments to this model.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
Full text
DOI
Keywords: государственное управлениемоделирование структурными уравнениямиstructural equation modelingопросный эксперимент public administrationdigital trustsurvey experimentдатацентричное управлениецифровое доверие
Publication based on the results of:
Citizen-state interaction in the context of digital transformation: Political, psychological, and managerial factors and barriers (2025)
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