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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
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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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Роль стратегий сохранения «лица» в связи между профессиональной идентичностью и синдромом выгорания

Организационная психология. 2025. Т. 15. № 1. С. 201–234.
Булгаков И. А., Ivanova N., Vasilieva E.

Abstract. Purpose. Study of the relationship between professional identity and face concerns of employees of Russian business organizations in the context of their professional burnout. The paper considers the mediating role of face concerns in this relationship. Study design. The study was conducted in an online format using questionnaires for assessing professional burnout (MBI) by C. Maslach and M. P. Leiter, professional identity (MIPI) by L. B. Schneider and face concerns by S. A. Ting-Toomey and J. G. Oetzel. Correlation and regression analysis methods were applied, as well as mediation analysis to assess interactions between variables. The target expert sample: employees of Russian business organizations (N = 246), holding different positions, aged from 20 to 66 years, with a total work experience of at least five years. The gender composition of the sample was uneven: 170 women and 76 men. Finding. Professional identity is negatively related to emotional exhaustion and depersonalization. Self-face is positively correlated with a higher level of burnout, while mutual-face and other-face are associated with lower burnout rates. Gender differences were also found. Women more often use other-face and have more pronounced signs of emotional exhaustion. Conclusions. The data obtained emphasizes the importance of managing employee interaction strategies to prevent burnout. Face concerns can have an impact on the psycho-emotional state of employees, which opens opportunities for the development of preventive programs focused on improving work communication and supporting professional identity.

Research target: Psychology
Language: Russian
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Keywords: организацияпрофессиональная идентичностьorganizationburnoutсиндром выгорания professional identityface concernsстратегии сохранения "лица"
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