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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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The narratives we inherit: the local and global in Tomsk's internet history

Internet Histories: Digital Technology, Culture and Society. 2020. Vol. 4. No. 1. P. 49–65.
Muravyov D., Kolozaridi P.

In recent years scholars have called for more attention to local net histories, work that demonstrates how networked computing developed in specific geographical, material, and social contexts. Research carried out in this spirit stands in contrast to a canonical and popular history of the (singular) “Internet,” and thus sets up an opposition or dyad between “local” net histories and the “global” or mainstream history of ARPAnet, the Internet Protocol, and the World Wide Web. This article takes up the call for local net histories by focusing on Tonet, a local network that was developed in the Siberian city of Tomsk and which peaked in usage in the early 2000s. However, rather than assuming an opposition between local and global Internet history, this article interrogates how the local net and global Internet were articulated by Tonet’s computer scientists and regional journalists at the time. The article thus enquires into symbolic connections between a local net and the global Internet, unsettling this opposition while also drawing at

Research target: Media and Communications
Priority areas: sociology humanitarian
Language: English
DOI
Text on another site
Keywords: RussiahistoryInternetlocalityGlobalityTonet
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