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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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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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