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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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Сетевой анализ биографических интервью: возможности и ограничения

Телескоп: журнал социологических и маркетинговых исследований. 2017. № 1. С. 29–36.
Maltseva D., Shirokanova A., Moiseev S., Брик Т.

This paper deals with certain principles and examples of conducting network analysis of biographical interviews as a mixed-methods design. It reveals the general idea and special features of the network approach to studying the structure of an academic community based on a corpus of their biographical interviews. The paper focuses on the previous experience of similar research designs, summarizing the opportunities and limitations of such design. The analysis is based on the ongoing project aimed at re-constructing the interaction networks among the key figures of soviet and Russian sociology with the help of network analysis. It is based on the materials of biographical interviews (n=157) collected by B. Doktorov and implemented in the BORIS software.

Research target: History and Archeology Sociology (including Demography and Anthropology
Priority areas: sociology humanitarian
Language: Russian
Full text
Text on another site
Keywords: сетевой анализистория социологиианализ социальных сетейбиографическое интервьюhistory of sociologynetwork analysissocial network analysismixed methodsсмешивание методовqualitative social network analysisкачественный анализ социальных сетейbiographical interview
Publication based on the results of:
Прикладной сетевой анализ (2017)
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