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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.
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‘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.

 

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Анализ заданий и задач в учебной литературе по прикладной статистике для психологов на основе компетентностного подхода

Психологические исследования: электронный научный журнал. 2025. Т. 18. № 102. Статья 4.
Kolachev N., Новиков И. А.

This study examines the characteristics of instructional tasks and problems in applied statistics for psychology students through the lens of a competency-based approach. To achieve the research objective, a methodological framework was developed comprising four key components: content domain, types of cognitive actions, forms of data representation, and instrumental tools. The sample consisted of statistical textbooks used in psychology education, from which 790 tasks and problems were analyzed. The results show that most tasks focus on inferential statistics and probability, while only about one-fifth address descriptive statistics. The analysis of the cognitive processes required for task completion revealed a predominance of actions related to the application of statistical procedures, whereas tasks involving data interpretation and reasoning were less common, and those aimed at formulating problems in statistical terms were almost entirely absent. Most tasks present data in textual form, with combined formats (e.g., text plus diagram) used only rarely. Computation was found to be the primary means of task completion. These findings point to the need for a revision of instructional content to support a more balanced development of statistical literacy among psychology students.

Research target: Psychology Education
Language: Russian
DOI
Text on another site
Keywords: статистикаstatisticsкомпетентностный подходApplied Statisticscompetency-based approachприкладная статистикастатистическая грамотностьstatistical literacyanalysis of tasksанализ учебных заданий
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