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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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Родительская оценка эффективности социальной интервенции в проблемную семью с детьми

Журнал социологии и социальной антропологии. 2025. Т. 28. № 2. С. 182–210.
Abramov R., Rozhdestvenskaya E., Sablya A.

Evidence-based social policy has become a prevalent approach to managing social programs, relying heavily on evaluation procedures often intertwined with sociological methods. This article analyzes the implementation of one such evaluation procedure—feedback from recipients of social intervention—within a comprehensive assessment of an interdisciplinary team’s intervention technology addressing child rights violations. Interviews with family members participating in the program were conducted. Findings indicate progress and resocialization within families, demonstrating increased awareness of their problems and engagement in efforts toward social normalization. However, this perspective contrasts with the more optimistic evaluations provided by experts and specialists. While family members acknowledged progress and viewed it as hope for a better future, their confidence in overcoming existing problems was less pronounced. Nevertheless, the study documents demonstrable progress, including a reduction in child abuse cases attributable to the intervention technology. This success is significantly linked to the advanced skills of the specialists implementing the technology and their altered approach to case management. The empathetic and collaborative approach of the caseworkers, coupled with the technology’s components, fostered optimistic expectations among clients, motivating them to change their lives and break cycles of dependence, poverty, and domestic violence. The study, however, also reveals limitations to the technology’s applicability, particularly concerning families with low initial resources and complicating factors such as alcohol and substance abuse. Furthermore, interaction with caseworkers and other specialists fostered the acquisition of new skills, including a familiarity with the language of psychology and social work. This, however, also presents a potential risk of dependency and reliance on continued support. This article contributes to the methodological advancement of evidence-based social policy.

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальная политикаsocial policyevaluationсоциальная работаоцениваниеsocial workParenting семья родительство
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