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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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Сравнение эффективности методов оценки воспринимаемого экономического неравенства в российском социокультурном контексте

Вестник Российского университета дружбы народов. Серия: Психология и педагогика. 2024. Т. 21. № 3. С. 927–948.
Агадуллина Е. Р., Lavelina D.

To date, a large body or research has been accumulated on the topic of economic inequality. Assessments of the perceived level of economic inequality make a significant contribution to social behavior, such as willingness to support initiatives aimed at reducing inequality. However, there is no consensus among researchers on the methods used to assess perceived economic inequality, and the previously identified classes of methods show that each of them has both advantages and disadvantages. The purpose of this paper is to test the effectiveness of various methods for measuring the features of perception of economic inequality in the Russian sociocultural context, using data from 761 respondents ( M age = 36.58, SD age = 10.85). The internal validity is measured by the relationship among the assessments of different methods. The external validity is measured based on the relationship between the obtained assessments and the willingness to justify the existing system, as well as with the support of various procedures and initiatives aimed at reducing inequality (support for a universal basic income and support for the introduction of progressive taxation). Of all the methods tested (3 direct inequality assessment tasks, 2 alternative choice tasks, task of accordance and a self-categorization task), representations of inequality in consumption and self-categorization in social hierarchy have been found to be the most effective ways to assess perceived inequality. Using more effective methods for measuring perceived economic inequality, it is possible to increase the measurement accuracy, make the findings of the work more valid and facilitate comparison of results from different studies.

Research target: Psychology
Language: Russian
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Keywords: экономическое неравенствошкалыscaleseconomic inequalityвосприятие неравенстваperception of inequalitysubjective inequalityсубъективное неравенствоeffectiveness of methodsэффективность методов
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