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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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Digital communication channels of government departments

P. 719–722.
Shevtsova I., Dneprovskaya N.

The article presents results of the study of communication channels of public authorities to assess them and identify prospects for their digital transformation. A comparative analysis of communication channels showed that the most voluminous in terms of the number of messages are social media, but this channel is inferior to social media in terms of the number of views and calls to messages posted in social networks. Digital transformation of communication channels consists in the collection and processing of digital data, which will be most productive in web environment. Currently Russian government departments take advantages from popular social media just partly, so the web communication channels are still having great prospects for development of interaction with citizens.

Language: English
DOI
Keywords: social mediadigitalization

In book

Proceedings of the 2021 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS)
IEEE, 2021.
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