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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.
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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.
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‘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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Детерминанты субъективного благополучия в России: региональная перспектива

Вестник Института социологии. 2020. Т. 11. № 2. С. 54–81.
Nemirovskaya A., Soboleva N.

This article reveals that, despite Russian regions being very different from each other when it comes to a great many socio-economic and socio-cultural properties (population income level and living standards, various features of the socio-cultural environment, social optimism, degree of religiosity and so on), those who live in regions far removed from the capital cities, given their lower level of personal income, tend to be more satisfied with their lives and demonstrate a higher level of social wellbeing, according to data from various sociological surveys. Based on empirical data, the authors argue that material aspects are not the only factors which affect subjective wellbeing in any given region. The goal of the study is to analyze the differentiation in the level of subjective wellbeing of the population of various Russian regions, which implies identifying and comparatively analyzing those factors which help interpret these differences. The primary research method is regression analysis of data from sociological surveys conducted in 2012 using the World Values Survey method in nine regions and towns of federal significance: Moscow, SaintPetersburg, Leningrad Province, Tambov, Tatarstan Republic, Chuvashia Republic, the Altai Krai, Kabardino-Balkaria Republic, Bashkortostan Republic. The analysis showed that there is indeed a connection between one’s personal income level and their subjective wellbeing, while there is no such connection between one’s subjective wellbeing and how wealthy their region is. This could be explained by the fact that people are more concerned with their personal income level than their region’s income. Aside from income level, there are other factors which determine subjective wellbeing in any given region. Moscow is considered to be the wealthiest region, however, it also has the highest level of income inequality. Both individual income and income level in comparison to the reference group considerably affect respondents’ subjective wellbeing, regardless of their region of residence. However, individual income has a stronger influence. That said it is in Moscow where subjective evaluation of one’s income level and satisfaction with one’s material status affect subjective wellbeing to the greatest extent, which is due to the fact that in Moscow both living standards and one’s sense of subjective inequality are somewhat higher. The influence of other socio-demographic factors also varies from region to region. For the most part this study confirms Ronald Inglehart’s concept of material factors playing a significant role in subjective wellbeing

Priority areas: sociology
Language: Russian
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Keywords: субъективное благополучиеудовлетворенность жизньюрегионы РоссииВсемирное исследование ценностейрегиональные сравненияотносительный доходдоход референтных групп
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