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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Управление рисками при осуществлении государственного контроля в России

Вопросы государственного и муниципального управления. 2016. № 2. С. 7–29.
Chaplinskiy A., Plaksin S.

The article deals with the organization and functioning of the risk management system in the sphere of state control. In Russia, a risk-based approach is being actively developed in some areas of public administration, but it is not universal. Full implementation of risk management systems will improve the efficiency of state inspection, as well as the comfort of doing business. The aim of the article is to summarize and analyze the Russian experience of risk management in state control, as well as the formation of a target model and proposals for its implementation.

The authors have proposed definitions of «risk» and «risk management system» that are applied to the sphere of state control (supervision). The article discusses two basic elements of risk management: risk assessment procedure and measures to minimize risk.

The article contains a  description and classification of risks assessment, based on the analysis of the following elements: an object, the scale, the manner and method of evaluation. With regard to risk minimization measures the authors examined the existing differentiation of administrative regimes of the economic activities start, mandatory requirements and procedures of state control, based on the level of potential hazard controlled entity (object).

The article presents a general description of all the risk management systems, which are currently used in 12 kinds of control. The authors developed a target model of the risk-based approach in the sphere of state control, and formulated 10 basic principles, the implementation of which will create a high-performance risk management system in the monitoring activities.

Priority areas: state and public administration
Language: Russian
Full text
Keywords: государственный контрольрискrisk assessmentоценка рискаriskstate controlсистема управления рискамиобязательные требованияrisk management systemminimization of risk administrative regime of the economic activity startmandatory requirementsминимизация рискаадминистративный режим начала экономической деятельности
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