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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.
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July 15, 2026
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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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How Should We Score Athletes and Candidates: Geometric Scoring Rules

Operations Research. 2024. Vol. 72. No. 6. P. 2507–2525.
Kondratev A., Ianovski E., Nesterov A. S.

Scoring rules are widely used to rank athletes in sports and candidates in elections. Each position in each individual ranking is worth a certain number of points; the total sum of points determines the aggregate ranking. The question is how to choose a scoring rule for a specific application. First, we derive a one-parameter family with geometric scores that satisfies two principles of independence: once an extremely strong or weak candidate is removed, the aggregate ranking ought to remain intact. This family includes Borda count, generalized plurality (medal count), and generalized antiplurality (threshold rule) as edge cases, and we find which additional axioms characterize these rules. Second, we introduce a one-parameter family with optimal scores: the athletes should be ranked according to their expected overall quality. Finally, using historical data from biathlon, golf, and athletics, we demonstrate how the geometric and optimal scores can simplify the selection of suitable scoring rules, show that these scores closely resemble the actual scores used by the organizers, and provide an explanation for empirical phenomena observed in biathlon and golf tournaments. We see that geometric scores approximate the optimal scores well in events in which the distribution of athletes’ performances is roughly uniform.

Research target: Economics and Management Mathematics
Language: English
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Keywords: rank aggregationправило Бордаindependence of irrelevant alternativesнезависимость от посторонних альтернативBorda countагрегирование рангов
Publication based on the results of:
Research on information inequality of access to higher education and assessment of the efficiency of the college admission system in Russia (2023)
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