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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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Выявление взаимосвязи параметров спортивных трасс и результатов биатлонистов

Экономика и управление в спорте. 2023. Т. 3. № 2. С. 113–132.
Белякова М. Ю., Lebedeva S., Мякишева Ю. О.

During the period of sanctions and removal of Russian athletes from international competitions, the Ministry of Sports of the Russian Federation and specialized sports unions are faced with the task to maintain the Russian athletes’ professional level. Biathlon is no exception. The authors were aiming to check the existence of a correlation between the parameters of the sports track and the results of athletes in order to create conditions close to international competitions in Russia during the sanctions period. The authors studied data for ten winter seasons of the World Cup stages, seven World Championships and three Winter Olympics and, using correlation analysis, found that there is an “average” correlation between elevation changes on the track and the net time of a biathlete, regardless of gender, and there is also a moderate correlation between the maximum climb on the track and the net time. In the work, the authors identified which combination of track characteristics contributes to the best sports result. This study can be useful in planning the competition calendar for the biathlon season as well as in building new sports objects in the Russian Federation.

Research target: Economics and Management
Language: Russian
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Keywords: корреляционный анализ correlation analysisбиатлонbiathlonexogenous factorscourse parametersnet speedэкзогенные факторыпараметры трассычистая скорость прохождения дистанции
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