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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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Субъективное благополучие мигрантов в России: влияние региональных характеристик и миграционного законодательства

Экономическая социология. 2020. Т. 21. № 1. С. 11–43.
Камалов Э. А., Ponarin E.

Migration is an important and rapidly growing phenomenon in the modern world. Many countries are facing problems with integration and adaption of migrants to new living conditions. Subjective well-being (SWB) can be considered as an indicator of how successfully migrants are adapted and integrated into the host society. Levels of migrants’ SWB are often determined by the same factors as for other people—good health, high salary, employment and youth make them happier. Nonetheless, migrants’ decision to migrate is often led by economic motives, which leads them to overvalue economic characteristics of countries and regions of destination and undervalue non-economic factors. This paper aims to estimate the effects of the economic prosperity (measured by gross regional product) and social capital of Russian regions (measured by general social trust and relative size of the community of the migrant’s compatriots)
on the life satisfaction of migrants. In addition, we analyze possible effect of the inclusion of the migrants’ country of origin into Eurasian Customs Union. To answer the proposed questions we employed data of the Russian Longitudinal Monitoring Survey—Higher School of Economics (RLMS-HSE) and statistics provided by Russian Federal State
Statistics Service. The main method of analysis is a cross-classified multilevel linear regression modeling. The results show that the economic performance of a region has no effect on the life satisfaction of a migrant. It appears that social factors play a greater role—the effects of general social trust and the relative size of the community of a migrant’s compatriots in a region are positive and statistically significant. We found that inclusion of the country of migrants’ origin into the Eurasian Customs Union positively and significantly affects the life satisfaction of migrants. We associate this effect with a decrease in the economic and psychological costs of migration.

Priority areas: sociology
Language: Russian
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Text on another site
Keywords: социальный капиталмиграцияsocial capitalсубъективное благополучиеудовлетворенность жизньюmigrationRLMS-HSERussian regionsроссийские регионыsubjective well-beingРМЭЗ НИУ ВШЭlife satisfaction
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