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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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