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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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Распределенное бремя: как россияне аттрибутрируют ответственность за экономический кризис?

Политическая наука. 2022. № 2. С. 144–163.
Semyonov A.

In this paper, I explore how Russians attribute the responsibility for handling the economic crisis among multiple political institutions. Previous research established the link between the crisis and electoral results for the ruling party and other regime players, but did not address the question of the responsibility burden`s distribution between branches and levels of public authorities in Russia. Using the results of representative survey and a novel instrument – comparative responsibility attribution index, which allows to assess the intensity of responsibility and the ordering of the institutions simultaneously – I demonstrate that Russians singles out the president as a chief responsibly for handling the crisis. Moreover, there exists a tight consensus about his role and place among other institutions. The federal government, the Sate Duma, and the governors follow his lead with the ruling party and mayors judged as the least responsible. Using spectral decomposition, I also show that Russian voters when it comes to getting out of the crisis also distinguish between the federal and subnational authorities. Finally, the individual-level analysis reveals that gender, age, political preferences, and crisis impact, but its significance caries across target institutions. The study contributes to the growing scholarship on responsibility attribution under autocracies and the ways the voters navigate the institutional complexities of modern polities.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Text on another site
Keywords: политические институтыэкономический кризисподотчетностьатрибуция ответственностиaccountabilitypolitical institutionseconomic crisiseconomic votingэкономическое голосованиеresponsibility attribution
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