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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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Методы поддержки группового мышления в ходе решения комплексных проблем в бизнес-организации

Журнал практического психолога. 2017. № 2. С. 75–88.
Eliseenko A.

The aim of this paper is to equip the modern techniques of teamwork with heuristic methods to organize group sessions of complex problem solving. It seems important because of in teamwork we should organize teams and problem solving process. There are a lot of methods and techniques for teamwork, but they are not designed for complex problem solving. We offer the cycle model of problem solving by R. Sternberg as the methodological basis of the teamwork at complex problem solving (CPS). We considering the possibility of constructing the procedure for CPS based on the classification of heuristic methods. The paper recommends specific heuristic methods for team CPS for each stage of the movement in the problem space. The novelty of the work lies in the fact that the proposed scheme simplifies the design of teamwork CPS sessions. And it creates opportunities for a more organized solution of complex problems in the group set of heuristic techniques. 

Research target: Economics and Management Psychology
Priority areas: state and public administration humanitarian
Language: Russian
Full text
Keywords: uncertaintyнеопределенностьэвристические методыheuristic methodsгрупповое решение задачteam problem solvingгрупповые методы
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