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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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И доверие, и закон: как социальный капитал и формальные институты влияют на соблюдение ковидных ограничений

Вопросы теоретической экономики. 2025. № 4. С. 133–143.
Kazun A.

Th is article analyzes the interaction between social capital and formal institutions in the context of compliance with restrictive measures during the COVID-19 pandemic in Russia. Developing a theoretical framework based on concepts of social capital and institutional economics, the study tests hypotheses regarding the substitution or complementarity of these mechanisms. Drawing on data from the online survey “RoCIRR 2” (more than 10,000 respondents from 61 regions of Russia in 2024), it examines the infl uence of generalized interpersonal trust and subjective assessments of the quality of public services (healthcare, police, courts) on the population’s degree of intolerance to violations of the self-isolation regime. Hypotheses are formulated about the positive eff ect of institutional quality and trust, as well as their interaction as substitution or mutual reinforcement. OLS models with fixed regional eff ects and controls show that trust has no independent eff ect but enhances the infl uence of institutional quality at high assessments. At low institutional quality, trust reduces the need for regulation. The results contribute to understanding the role of informal norms under conditions of moderately developed formal institutions, which are characteristic of Russia. Th e conclusions have implications for policies aimed at increasing the population’s readiness to follow government directives in crises, emphasizing the need to strengthen both trust and formal institutions.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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Keywords: социальный капиталдовериеsocial capitaltrustCOVID-19formal institutionsCOVID-19norm complianceформальные институтысоблюдение норм
Publication based on the results of:
Institutions, human capital and regional Development: historical analysis and contemporary challenges (2025)
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