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  • БУДУЩЕЕ ЦИФРОВОЙ РЕВОЛЮЦИИ: КОЛЛАПС РЫНКА РАБОЧЕЙ СИЛЫ ИЛИ НАУЧНЫЙ КРАУДСОРСИНГ?
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News
June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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БУДУЩЕЕ ЦИФРОВОЙ РЕВОЛЮЦИИ: КОЛЛАПС РЫНКА РАБОЧЕЙ СИЛЫ ИЛИ НАУЧНЫЙ КРАУДСОРСИНГ?

Вопросы политической экономии. 2020. № 1(21). С. 165–177.
Корнилов А. М.

Scientific and technical progress, inherent in the "digital economy", which has taken on a new quality under that discourage economic growth; the the conditions of the so-called digital financial instruments that make up for revolution, threatens to do away with the corresponding adverse consequences; labour as a factor of production, if and the new forms of creative activity not in the immediate term then in the that under conditions of total automation fully foreseeable future. Developing in and robotisation, are capable of posing uncontrolled fashion, this scenario is an effective alternative to labour as a fraught with tectonic changes to the entire factor of production and distribution - system of social relations. The least of and in the first instance, an alternative to these changes will be the slide of the global mass crowd-sourcing in the scientific and economy into an endless depression. technological sector in general, and in the The article examines the conditions, field of scientific enquiry in particular.

Research target: Economics and Management
Priority areas: economics
Language: Russian
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Text on another site
Keywords: наукаавтоматизацияsciencecrowdsourcinglaborзанятостьautomationкраудсорсингтрудцифровизацияdigitalizationdigital platformsтехнологическая безработицапоисковая активностьцифровая платформаuniversal basic incometechnological unemploymentsearch activityгарантированный базовый доход
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Added: May 30, 2026
The crowd is your ace: Playing FMCG’s internationalization game
Tekic A., Nguen C. M., Business Horizons 2026 Article In Press, Journal Pre-proof
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Added: May 19, 2026
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