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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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The Effects of Collaboration on Research Performance of Universities: an Analysis by Federal District and Scientific Fields in Russia

Journal of the Knowledge Economy. 2020. Vol. 11. P. 766–787.
Aldieri L., Kotsemir M. N., Vinci C. P.

The objective of our paper is to explore the extent to which the research collaborations could be an impact on the scientific performance of academic institutions. The analysis is based on data for 241 universities in Russia for 2015–2016 obtained from different sources: Interfax (privately held independent major news agency in Russia) National Ranking of Universities, monitoring of efficiency of activity of educational organizations of higher education (launched by Information-Computing Centre of Ministry of Education and Science of the Russian Federation), and Russian Science Citation Index (largest Russian information and analytical portal in science, technology, medicine, and education and electronic library of scientific publications with 28 mlns of documents). We consider the number of citations of publications to evaluate university performance in Russia. To this end, we develop a non-overlapping generation model to evidence the theoretical idea of research externalities between academic institutions. Moreover, we implement different empirical models to test for the effect of external scientific collaborations on the institutional research quality by Federal District and scientific field. The results confirm an important positive impact of co-authoring process.

Research target: Education Economics and Management
Language: English
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Text on another site
Keywords: Russian universitiesresearch collaborationacademic institutionsUNIVERSITY RESEARCHResearch performanceResearch externalitiesNon-overlapping generation modelUniversity performance
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