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News
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.
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.

 

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Пилотное исследование связей черт личности с решением дилеммы в условиях социального взаимодействия

С. 480–483.
Пустовик В. А., Храмцова Л. М.

In the context of social interaction, the decision-making process becomes more complex due to the need to account for personality traits and the decisions of other group members. This pilot study aims to investigate the link between personality traits and choice in an iterated Prisoner's Dilemma before and after participants' social interaction. The study involved 108 individuals (82 women, 26 men) aged 18 to 26 years. The Big Five Inventory-2 and the Short Dark Tetrad questionnaires were used, along with a multi-stage gaming procedure involving rounds of the dilemma both before and after social interaction. The results showed a significant decrease in the proportion of cooperative decisions after social interaction (from 30.56% to 17.59%). Various correlations between personality traits and cooperation were identified at different stages: before interaction, cooperation was associated with emotional instability and Dark Tetrad traits, while after interaction it was linked to extraversion, responsibility, and industriousness. The obtained data are explained by the influence of fear of negative evaluation and increased social control within the group, highlighting the importance of considering social context in the study of decision-making.

Language: Russian
Full text
Keywords: социальное взаимодействиекооперацияcooperationpersonality traitsчерты личностибольшая пятеркапредательство social interactionThe Big Fivebetrayalтемная тетрадаThe Dark Tetrad
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)

In book

Социальная психология: вопросы теории и практики : Материалы X Международной научно-практической конференции памяти М.Ю. Кондратьева
М.: Издательство МГППУ, 2025.
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