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News
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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Toward an Understanding of Cultural Orientations Through the Lens of Human Behavioral Ecology

Evolutionary Behavioral Sciences. 2025. Vol. 19. No. 3. P. 205–226.
Gallyamova A., Grigoryev D.

This article introduces a Cultural Orientations Model Based on Human Behavioral Ecology (COM–HBE), which redefines the study of cultural orientations. Our research program formulates and intends to describe a unified framework that integrates cultural orientations, mechanisms of cooperation and social conformity, and principles from life history theory. This integrated approach has the potential to bridge evolutionary science and social science, offering a more comprehensive understanding of both human behavior and culture. The proposed framework encapsulates established patterns at both the group and individual levels, providing a holistic understanding of human behavior and culture within an ecological and evolutionary context. Furthermore, our model is aimed to capture the mechanisms of cooperation and social conformity across all levels, from neurophysiological to cultural. This comprehensive approach not only deepens our understanding of cultural diversity and commonality but also enhances our ability to predict and manage the adaptive behaviors that arise in response to ecological pressures.

Research target: Social Sciences
Language: English
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Keywords: individualismcooperationcross-cultural researchcollectivismindividualism-collectivismsocial conformitycultural orientationslife history theoryhuman behavioral ecology
Publication based on the results of:
Адаптивные основы культуры: к пониманию культурных ориентаций через призму компромиссов истории жизни (2024)
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