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  • Низовое цифровое волонтерство в условиях кризиса: сети взаимопомощи, платформенные логики и последствия для социальной политики
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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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Низовое цифровое волонтерство в условиях кризиса: сети взаимопомощи, платформенные логики и последствия для социальной политики

Journal of Social Policy Studies. 2026. Vol. 24. No. 1. P. 143–158.
Брюхно А. С., Telitsyna A.

This article examines grassroots digital volunteerism as a form of civic self-organization in the context of s large-scale socio-economic disruption, using the 2022 refugee crisis in Russia as an empirical case study. It focuses on the mutual aid networks that emerged on the VKontakte social network and the Telegram messenger, analyzing their organizational characteristics, modes of participation, and functional roles in supporting vulnerable groups. Methodologically, the research is based on an interpretative quantitative analysis of digital trace data, drawing on open-source metrics such as audience dynamics, engagement indicators, publication intensity, and patterns of information circulation. The analysis reveals a functional differentiation between platforms: VKontakte primarily operates as an informational space that facilitates the articulation of needs, whereas Telegram serves as an operational infrastructure that enables coordination, task distribution and sustained volunteer interaction. The findings challenge growth-oriented approaches to assessing civic activity by demonstrating that the effectiveness of digital volunteer initiatives depends more on the stability of active participant cores and the density of communication networks than on audience expansion. The study also identifies hybrid and predominantly informal forms of interaction between volunteer networks and public authorities, highlighting how digital self-organization can complement institutional systems of social support during crises. Overall, this article makes a valuable contribution to research on digital civic engagement and social policy, showing how platform-specific logics can shape mutual aid practices and redefine the boundaries between informal participation and institutional responses during crises.

Research target: Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: social media platformsmutual aid networksdigital self-organization grassroots digital volunteerism crisis and social policy
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