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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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Распределение времени между разными видами деятельности: обзор математических моделей

Вопросы экономики. 2024. № 11. С. 149–161.
Ter-Akopov S., Voronina N., Михайлова Н. С., Nagernyak M.

The history of time use research dates back more than 100 years. Russian scientists were among the first to conduct large-scale surveys in this field. Nowadays, this sphere has become interesting among scientists again. Rosstat has rebegun to conduct surveys on the daily time use, large-scale independent surveys have appeared, and media have increased their interest. The amount of empirical microdata that has emerged has made it possible to examine a complex concept as the household time use in ever more numbers. The purpose of this methodological overview is to describe the most significant mathematical models that have been used and are being used to study the time budgets of the population. This article overviews the first models in which time was considered as one of the means of production along with other goods, and households tried to maximize the utility function solely based on financial considerations. Then, modern models, where time is no less an important factor of well-being than material status, are represented. The article demonstrates how the new model classes that have recently emerged adapt to the data that is accessible in certain circumstances, modify themselves to accomplish fresh tasks, and become less costly when looking at analytical estimations. In order to categorize the population’s time budget structure under different research activities, the paper examines and systemsatizes a number of mathematical models.

Research target: Social Sciences
Language: Russian
DOI
Text on another site
Keywords: mathematical modelsфункция полезностиutility functiondiscrete choice modelstime useбюджет временимодели дискретного выбораtime budgets time allocationTobit modelТобит модельраспределение времени
Publication based on the results of:
Life Choices: Factors and Mechanisms for Making Key Decisions at Different Life Stages (2024)
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