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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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Надзор и структурное насилие: от Паноптикона к алгоритмам

Социология власти. 2025. Т. 37. № 3. С. 36–60.
Sizov A.

The article examines the phenomenon of surveillance through the prism of J. Galtung’s theory of structural violence and Garver’s theory of silent violence. The author traces the evolution of control models from the works of Bentham, Foucault, Deleuze and Rouvroy — from panoptic to algorithmic — and identifies surveillance techniques typical for these models. It is argued that each of these techniques generates specific structural asymmetries or, as Foucault calls them, states of domination, within which structural violence according to Galtung is possible. The vector of development of control models, reflected in the change in dominant surveillance techniques, is described as a transition from the architecture of behavior (management of the multitude through subjectivizing effects at the individual level) to the ecology of action (management of specific choices for the sake of statistical effects at the population level). The role of surveillance in the reproduction of structural violence is considered using the example of theories such as Lyon’s social sorting, Gandy’s panoptic sort, and Zuboff’s surveillance capitalism. Particular attention is paid to interfaces in algorithmic control, which are integrated with profiling observation into a single system manipulating a set of user- accessible affordances (Gibson, Norton). The asymmetry of affordances created by the techniques of algorithmic governmentality described by Rouvroy and leading to the loss of autonomy is conceptualized as silent violence according to Garver. In the context of the development of the Internet of Things (IoT) and self-monitoring of health (mHealth), the prospects for further expansion of the interface between humans and algorithmic systems are considered. Unjustly neglected by theorists of violence, surveillance appears to be the main mechanism of structural violence in modern datafied society.

Research target: Sociology (including Demography and Anthropology Philosophy, Ethics, and Religious Studies Political Science, International Relations, and Public Administration
Language: Russian
Text on another site
Keywords: властьpowerFoucaultФукоgovernmentalitySurveillance Studiesstructural violenceструктурное насилиеaffordancesаффордансыdataficationдатафикацияsurveillance capitalismнадзорный капитализмгувернаментальностьsurveillance studies
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