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News
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.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.

 

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Ranking Journals in Economics, Management and Political Sciences by the Threshold Aggregation Procedure

NRU Higher School of Economics , 2014. No. 73.
Aleskerov F. T., Vladimir V. Pislyakov, Timur V. Vitkup
An analysis of journal rankings based on five commonly used bibliometric indicators (impact factor, article influence score, Source Normalized Impact per Paper, SCImago Journal Rank, and the Hirsch index) has been conducted. It is shown that despite a high correlation, these single indicator-based rankings are not identical. Therefore, a new approach to ranking academic journals is proposed based on the aggregation of single bibliometric indicators using threshold aggregation. The main property of this procedure is its non-compensability, which reduces opportunities for manipulation.
Research target: Economics and Management Political Science, International Relations, and Public Administration Computer Science Sociology (including Demography and Anthropology
Priority areas: economics sociology management IT and mathematics
Language: English
Full text
Text on another site
Keywords: Bibliometricsбиблиометрияjournal rankingрейтинг научных журналовthreshold aggregationпороговое агрегирование
Publication based on the results of:
Построение рейтингов методами коллективного выбора (2013)
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