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July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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Роль искусственного интеллекта в антикоррупционном рекрутинге

Научный результат. Серия: Технология бизнеса и сервиса. 2022. Т. 8. № 2. С. 94–107.
Krylova D., Maksimenko A.

This article analyzes in detail the technologies of artificial intelligence in the field of recruiting, taking into account the parameters of reliability, loyalty and honesty: in the context of the 4 stages of development of AI in the field of recruitment, the intellectual methods used in relation to each problem area of ​​recruitment are considered, the advantages of technological solutions of the most popular among users of recruiting platforms that use AI algorithms in their work, aimed at selecting the most honest and professional candidates. Based on the review of foreign studies given by the authors, it is possible to draw conclusions about the positive (speed and quality of the selection of applicants according to the requirements of employers) and negative (the risk of discrimination, a decrease in the perceived value of the company's brand) effects that are associated with the introduction of artificial intelligence in the system of search and selection of candidates. In the course of communication with representatives of the largest recruiting services using AI in the field of recruitment, the possibilities of intelligent solutions in predicting the success of candidates and determining their propensity for opportunistic and corrupt behavior were revealed.

Research target: Psychology Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: искусственный интеллектпротиводействие коррупцииartificial intelligenceanti-corruptionчат-ботchatbotanti-corruption recruitmentselection of honest employeesanti-corruption human resource managementантикоррупционный рекрутментотбор честных сотрудниковантикоррупционное управление человеческими ресурсами
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