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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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Measuring University Engagement

University Management: Practice and Analysis. 2019. Vol. 23. No. 5. P. 75–84.
Kochetkov D., Sadekov N., Gudkova I.

The article discusses a model for the evaluation of universities and science in general from the point of view of university engagement in the socio-economic environment. The authors conducted a scientometric analysis of the topical area. The primary goal was the identification of various interrelations between some classical scientometric indicators and alternative ones, most clearly reflecting the interaction of science, society, and industry. Three countries were chosen as the object of the study and the five most appropriate research areas. Based on a comparative analysis, we can conclude that traditional scientometric indicators correlate quite well with indicators of social and commercial relevance of scientific research. However, we did not observe this relationship in the case of Brazil; thus, we can infer the influence of the national and disciplinary context. Quantitative indicators are not enough for the evaluation of university engagement, and we do need peer review here.

Language: English
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Keywords: community engagementpeer reviewscientometric indicatorsthird missionuniversity engagementengaged university
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