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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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Алгоритмы расчета точных значений индексов манипулируемости для случая трех альтернатив

Журнал Новой экономической ассоциации. 2022. № 5(57). С. 14–23.
Ivanov A.

Abstract. Manipulation is a phenomenon when an agent or a group of agents misrepresent her/their preferences in the ballots in order to obtain a better outcome of the social choice. It has been proven that there is no not-dictatorial social choice rule which is nonmanipulable. There are two approaches to fi nd the least manipulable social choice rules. The fi rst one implies fi nding a theoretical formula for each rule. However, there are many known social choice rules and a list of manipulability indices which make this task very hard. The second approach is to generate a set of random profi les to obtain an approximate values of manipulability indices. We developed an algorithm which allows to get not approximate, but exact values of manipulability indices for any given social choice for the case of 3 alternatives. We provide the description of the algorithm, its optimizations, memory and time needed compared to the previously known algorithms, as well as the examples of the results.

Research target: Economics and Management Computer Science
Language: Russian
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Keywords: манипулированиеmanipulabilityvotingsocial choice rulesпроцедуры голосованияstrategic manipulationалгоритмы манипулируемостикоалиционное манипулирование
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