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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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Конкурентные стратегии фрилансеров старшего возраста на электронных трудовых платформах

Мониторинг общественного мнения: Экономические и социальные перемены. 2022. № 2(168). С. 207–222.
Kartuzova M.

The article analyzes the behavioral strategies of older freelancers, aimed at helping them to compete with younger workers at the digital labor platforms. On such platforms, the self-employed offer their services mostly for one-time jobs for a monetary reward and within the framework moderated and supported by an information system using computer algorithms. This system can be seen as a kind of “showcase”: on the one hand, we have standardized questionnaires of service providers (with a description of their skills and previous experience, a portfolio with reviews, a range of tasks performed), and on the other hand, customer requests for certain works. Empirically, the study bases on the materials of 20 semi-structured interviews with self-employed people aged 50 to 73 living in Russia. Our informants earn a living by tutoring, translating, writing diplomas, creating and promoting websites, as well as selling photo materials for stock sites. Based on the results of the analysis of semi-structured interviews, the author identifies and discusses several categories, namely, the perception of competition on the platform through the prism of the age of a freelancer and the concepts of a strategy leading to obtaining an order: an inventory of one's own accumulated human capital, "spying on ideas" from younger providers, and forming a pool of regular customers in order to refuse from further use of the digital platform.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Keywords: пенсионерыфрилансерысамозанятостьfreelancersespionageretireesolder ageконкурентная разведкаself-employmentdigital labor platformцифровые трудовые платформыстарший возраст
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