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News
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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Модели и методы управляемой трансгрессии медиа в условиях кризиса

Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика. 2023. Т. 28. № 4. С. 749–756.
Zykov S. V., Babkin E., Ulitin B.

Creation and transgression of mediaobjects is a complicated process that involves making difficult decisions. Under such conditions, the risk of media crises inevitably increases, for example, inadequate perception by the reader of information released by the media, etc. To avoid such crises, it is necessary to take into account all possible factors, both quantitative and qualitative, characterizing mediaobjects and media in general, as well as precise evaluation methods. The focus of the study is on developing a new approach to decision-making that will aid in the controlled transgression of mediaobjects during crisis situations. The method for making decisions based on a hierarchy of cross-disciplinary criteria that takes into account the concept of crisisology is proposed. Additionally, the authors suggest the use of a decision support software service that utilizes an ontology-based mechanism to adopt the user interface dynamically. The proposed method is universal and can be applied to assess different types of medical objects, reducing the likelihood of crisis situations (caused, among other things, by incorrect assessment of the reliability of information).

Research target: Computer Science Economics and Management
Language: Russian
Full text
DOI
Keywords: многокритериальный выборподдержка принятия решенийcrisisologyкризисологияdecision support multi-criteria choicemedia objectмедиаобъект
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