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November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Труд и власть в российской модели платформенного капитализма

Социология власти. 2022. № 3-4. С. 128–155.
Shevchuk A.

With the digitalization of the economy and society, varieties of “platform capitalism” appear in the world. The article presents the first attempt at a critical understanding of the “gig economy” model that is taking shape in contemporary Russia. By problematizing the narratives that dominate foreign studies of platform employment, the author shows the embeddedness of platformization in the current economic system. Unlike countries with a developed market economy, labor platforms in Russia are part of giant platform ecosystems controlled by oligarchic businesses and the state, which, in the course of “creeping nationalization”, increases its influence through ownership and management structures. In key sectors of platform employment, quasi-monopolies are formed with the dominance of one company. In the context of geopolitical tensions, the process of “sovereignization” and the closure of the platform economy is being completed. Having successfully platformized informal labor markets in some sectors, platforms are becoming a tool for the legalization of employment in the hands of the state, driven primarily by fiscal interests. In Russia, a neoliberal model of regulation of the gig economy is being formed based on the legal introduction of the category of self-employed in the absence of due attention to labor rights and the social protection of workers. With the strengthening of the authoritarian nature of state, the possibilities of self-organization and collective defense of the interests of platform workers are blocked. The author concludes that in the Russian model of “platform capitalism”, the state enters an alliance with big capital and consumers against labor: the state strengthens control over the economy and tax revenues, large platform companies use labor at lower costs, and consumers receive cheap services through convenient digital services. The author calls to integrate the issues of platform capitalism into broader discussions about the Russian model of socio-economic development.

Research target: Social Sciences Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Keywords: российская экономиканеформальная занятостьсамозанятостьсоциология трудапрофсоюзы в Россиимодели капитализмаsociology of workсоциология труда, профессий и занятийцифровые платформы Russian economyself-employeddigital platformsгиг-экономикаплатформенная занятостьgig economyПлатформенная занятость в России varieties of capitalismцифровые платформы занятости
Publication based on the results of:
Opportunities and risks of platform employment in Russia (2022)
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