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September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

 

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Система поддержки принятия решений «ELECTRE»

Прикладная информатика. 2017. Т. 12. № 1 (67). С. 102–113.
Kravchenko T. K.

Problem statement: solutions analytical justification by using a decision support system (DSS) significantly increases the quality of decisions. The existing DSS generally employs methods analytic hierarchy process and analytical networks. It does not always lead to the desired results as each method is based on certain assumptions and is not universal. The creation of the DSS, including ELECTRE collection methods, will allow to obtain additional information about the relative importance of different variants of the solution for the task. Methodological basis for the creation the DSS «ELECTRE»: the family of ELECTRE methods, which include ELECTRE I, ELECTRE Iv, ELECTRE IS, ELECTRE II, ELECTRE III and others. Their key feature consists in the fact that they do not use the convolution operation of evaluation of the alternatives specified in different scales on different criteria. Results: developed software of DSS «ELECTRE», allowing to use any of the methods of this family to select the preferred alternatives based on multiple criteria and evaluations of their relative importance. Practical relevance: unlike other developments, the research results allow to analytically justify solutions using a variety of methods of collection in one software environment.

Research target: Computer Science Economics and Management
Priority areas: management business informatics
Language: Russian
Full text
Keywords: системы поддержки принятия решенийэкспертная система поддержки принятия решенийdecision support systemsExpert Decision Support System (EDSS)ELECTRE family methodsметоды семейства ELECTREdecision support system «ELECTRE»the task of choosing a platform for business intelligence for the enterpriseсистема поддержки принятия решений «ELECTRE»задача выбора платформы бизнес-интеллекта для предприятия
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