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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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Опыт расчета расстояний между разными типами населенных пунктов России (для оценки дальности миграции населения)

Вестник Санкт-Петербургского университета. Науки о Земле. 2023. Т. 68. № 3. С. 418–442.
Karachurina L. B., Mkrtchyan N. V.

The problem of measuring distances in migration is not trivial, but important, for example, for delimiting the concepts of population migration and housing mobility. In conditions of limited access to detailed spatial data, researchers solve this issue in different ways. Only a few countries, such as Sweden, have the ability to calculate migration distances between point locations using Euclidean distance (in a straight line). In this article, as applied to Russia, the measure of correspondence between Euclidean distances and real distances along transport routes is investigated. For this purpose, 3407 pairs of distances were calculated for randomly selected 23 municipal districts of Russia directly and along transport routes — roads. Also, 411 pairs of distances were calculated for settlements with no auto connection, using air traffic. These distances give an idea of the migrations of different distances in Russia. As a result, for hypothetical resettlements within the selected municipal districts, real road distances exceed Euclidean distances by 51%. For resettlements between the centers of districts and urban districts within the region, this indicator exceeds 40%, and for interregional resettlements, the differences are 33%. The air service used “straightens” the distances, but even taking it into account, the real distances (mainly long-range, interregional) exceed the Euclidean ones by 28.5%. The calculations performed to give an idea of the deviations of real, transport distances from the relatively easy-to-calculate Euclidean ones, which can be used in the analysis of migration distances in Russia.

Research target: Earth Sciences Sociology (including Demography and Anthropology
Language: Russian
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Text on another site
Keywords: регионы Россиимиграция населения муниципальные образованияregions of RussiamunicipalitiesrangeEuclidean distancetransport distanceдальностьтранспортное расстояние population migration евклидово расстояние
Publication based on the results of:
Recent trends in demographic and migration processes in Russia and in neighboring countries in the light of the Population Censuses of the 2020-2021 round (2023)
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