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Subject
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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?

О доверии статистике

Гл. 1. С. 8–25.
Savyuk L. K.

Based on the analysis of actual problems of legal statistics suggestions for improving its use in the study of crime and measures of the struggles she and demonstrates ways to increase trust legal statistics and teaching effectiveness  as  discipline  in law schools.

Language: Russian
Full text
Text on another site
Keywords: довериеучебная дисциплинаantitrustправовая статистикаlegal statisticseducational disciplinelatinitateлатентизация

In book

Социология уголовного права: коллизии уголовно-правовой статистики: Сборник статей (материалы II Международной научно-практической конференции «Социология уголовного права: коллизии уголовно-правовой статистики», состоявшейся 13-14 сентября 2013 г.).
М.: Юриспруденция, 2014.
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Осипова В. В., Kosova E., New psychological research 2026 No. 2 P. 228–250
Statement of the Problem. In the age of pervasive digitalization, online news consumption is growing steadily. Simultaneously, tools for creating and spreading fake news are expanding. Previous research highlights the impact of structural usability elements on trust across domains, yet their specific effect on trust in news web interfaces remains inadequately explored. The Purpose of ...
Added: June 23, 2026
Социально-психологические факторы доверия искусственному интеллекту: состояние исследований
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The article presents a theoretical review of literature from the last ten years devoted to the analysis of socio-psychological factors of trust in artificial intelligence. The widespread adoption of automated artificial intelligence systems, which is associated with expected economic growth, reduced resource costs, and the optimization of various work processes, often faces user distrust in ...
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With the rapid advancement of artificial intelligence, and deep learning in particular, models have emerged that are capable of delivering highly accurate predictions. However, the internal logic of such models remains difficult to interpret—an issue of critical importance, especially in domains where the correctness of an algorithm directly affects high-stakes decision-making. One promising avenue for ...
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We propose an interdisciplinary theoretical framework that integrates insights from political science, public administration, organizational theory, economics, psychology, sociology, and cognitive science to better understand the role of emotions in governance in the digital age. We argue that citizens' sentiments and emotional responses are central to their relationships with government institutions and bureaucracies. Building on bounded ...
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«Когда честно – хорошо, для имитации – плохо»: стратегии использования генеративного искусственного интеллекта в российском вузе
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The issue of using generative artificial intelligence (GenAI) in education is the focus of both its advocates and critics. The world academic community is trying to consider the rapidly spreading phenomenon, to determine its place in the educational process and to work out the regulatory framework. The application of GenAI-powered services changes conceptual and didactic ...
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Искусственный интеллект в России: проблема доверия
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Added: November 12, 2025
И доверие, и закон: как социальный капитал и формальные институты влияют на соблюдение ковидных ограничений
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Added: November 2, 2025
Доверие и прозрачность в системах многоуровневого управления
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Added: October 28, 2025
Coloring Trust: Insights and Research Perspectives
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Added: April 10, 2025
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Added: September 4, 2024
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Added: August 24, 2024
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Institutional trust is an important indicator of power legitimacy and the institutional political system stability. The article assesses the level of political institutional trust in Russian society, determines its structure and mechanisms of formation in the current geopolitical situation. Institutional trust is understood as a special kind of attitude of a citizen to political institutional ...
Added: August 6, 2024
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Added: May 12, 2024
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The paper develops and tests models of consumer loyalty formation in relation to online services based on empirical research data. This study is one of the first in the Russian academic environment to empirically test the relationship between loyalty and a number of factors that form consumer loyalty, a significant part of the works published ...
Added: April 29, 2024
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