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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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Трансформация инструментов государственной инновационной политики в контексте парадигм государственного управления

Вопросы государственного и муниципального управления. 2026. № 2. С. 98–125.
Sukharev A.

Innovation has become a priority domain of public governance because of its substantial contribution to national competitiveness. At the same time, the literature still provides limited guidance on the appropriate scope and rational use of innovation policy instruments under different governance arrangements.

This article examines the relationship between state innovation policy models, their corresponding policy instruments, and public governance paradigms. Drawing on comparative historical analysis and examples from the governance of research and development in the aviation industry, the study shows that specific innovation policy models and the instruments associated with them have historically been linked to particular governance paradigms, while in contemporary sectoral practice they coexist in the form of layering and hybridization.

The article develops an analytical framework that operationalizes the relationship between public governance paradigms, innovation models, and the corresponding repertoire of state innovation policy instruments. Evidence from the aviation sector demonstrates that instruments associated with different paradigms are not replaced in a linear sequence but are combined within hybrid policy configurations.

The findings support the interpretation of the state as a multi-paradigmatic actor in the governance of innovation. The proposed framework may serve both as an analytical tool for assessing existing policy mixes and as a practical guide for designing more coherent combinations of policy instruments in strategic high-technology sectors.

Research target: Political Science, International Relations, and Public Administration Economics and Management
Language: Russian
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DOI
Text on another site
Keywords: управление инновациямигосударственное управлениеinnovation policypublic governanceнаучно-техническая и инновационная политикиpolicy instrumentsпарадигмы государственного управленияparadigms of public administrationinnovation policy instrumentsинструменты инновационной политики
Publication based on the results of:
Trends and factors of sustainable science and technology development (2025)
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