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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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Актуальные проблемы и перспективы внедрения автоматизированных информационно-поисковых систем в оперативно-розыскную и следственную деятельность

Союз криминалистов и криминологов. 2014. № 3-4. С. 329–335.
Denisov E. V.

The subject of research: the present article studies the experience of research into and adoption of the Automatic information search system in investigation practice in Russia and abroad. This system is designed to create psychological profiles of unestablished criminals, mainly of those who have committed grave personal crimes. Furthermore, the article presents author’s conception of the common structure and functions of such systems. It also provides data concerning the efficiency of this system and the expediency of applying it to specific cases. Moreover, the article gives theoretical ground for creating a psychological portrait of a criminal based on the capacities of mathematical statistics and psychological analysis. Methods of research: in the course of research the author applied common scientific methods of analysis, synthesis and comparison, as well as functional method and systematic approach. He analyzed mathematical and psychological methods of studying information concerning crime.Scientific novelty and conclusions: the working algorithms of various automatic database search systems were analyzed on the basis of Russian and foreign sources, and the reliability of produced data was assessed. The author studied the structure of foreign functioning program complexes and similar systems, which are developed in Russia. Taking into account this information, the author provides suggestions on the functioning of a new Russian automatic information search system, which will be designed to create psychological profiles, reveal the signs of seriation and register persons from risk groups. The author makes conclusions about the validity of profiling grave crimes from the point of mathematical statistics and psychological analysis.

Research target: Law Psychology Computer Science
Priority areas: law
Language: Russian
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Keywords: modus operandigeographical profilingserial murdersпсихологическое профилированиегеографический профильинформатизация расследованияпризнаки серийностисерийные убийства
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