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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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?

Testing Hypotheses on the Street Protest Efficiency Factors: Combined Statistical Strategy

P. 1–4.
Zheglov S., Akhremenko A. S.

This paper explores the relationship between the characteristics of a street protest and its effectiveness. We propose a new approach to solving the problem through the use of a combination of several statistical techniques: the logistic
regression models with mixed effects from the Frequentist approach, the hierarchical modeling from the Bayesian
approach, the propensity score matching from the Quasiexperimental approach

Language: English
Full text
DOI
Text on another site
Keywords: repressionрепрессииакции протестаprotestsбайесовская статистикаpropensity score matchingиерархическое моделированиеBayesian statisticsmixed effectshierarchical modelingсмешанные эффекты

In book

2020 13th International Conference "Management of large-scale system development" (MLSD)
IEEE, 2020.
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