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News
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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Эмпирический анализ влияния экономических и неэкономических факторов оттока капитала: пример построения эконометрической модели

Вестник Финансового Университета (новое название журнала) . 2017. Т. 21. № 2. С. 121–131.
Markovskaya E., Белов А. В.

The paper presents the results of a study related to the assessment of the impact of economic and non-economic factors on the international export of capital. The purpose of the study was an econometric assessment of the influence of some economic and non-economic indices on the export of capital in 2015 throughconstruction of a consistent econometric model. To select a method for the capital outflow evaluation for the research purposes, three potential methods for measuring the scale of the capital escape from the country are analyzed: the CBR method, the World Bank method and assessment of direct foreign investments. The authors exposed methodological differences in approaches to evaluating the amount of capital outflow to be taken into account in such studies. In the course of the study a number of regression models were developed and some of them confirmed the existence of the relationship between capital outflow and non-economic factors. It is concluded that the non-economic factors influence the magnitude of capital outflow from the national economy and political events may significantly affect the decisions of investors. In our models, non-economic factors such as presidential and parliamentary elections, time to start a business have an impact on the amount of capital outflow. The study is a part of the research work related to the development of the matrix of the Russian economy investment climate. [1] Subsequent research activities may include the construction of a model to analyze the influence of economic and non-economic factors on the capital outflow amount in different types of national economies (for example, in developed and developing countries). This will make it possible to use simulation results to predict amounts of the capital outflow from the Russian economy. The research findings can be used in the practice of the development of the economic and investment policies at the macro and the micro levels, the national economylevel as well as at the regional level.

Research target: Economics and Management
Priority areas: economics
Language: Russian
Full text
Keywords: отток капиталапотоки капиталаинституциональная матрица инвестиционного климатаэкономические и неэкономические факторы оттока капитала
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