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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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Возможности инновационного развития образовательного процесса в российских университетах

Сибирский педагогический журнал. 2020. № 4. С. 134–147.
Yumaguzin V.

Introduction. Innovative development of the educational process is an integral part of university development programs. Since educational technologies are constantly being improved, academic mobility and the exchange programs can accelerate the development of Russian universities.

The purpose of the article is to identify the features of the educational process at the Bashkir State University, Higher School of Economics and the University of Pennsylvania.

Methodology. The method of reflection and the method of expert judgments are used.

Research results. The paper discusses some aspects of education development such as the content of the University's website; project-based approach in training and universal design; professional development of students; organizational format of training; advantages of online learning; features of formative, summative and mutual assessment; use of information systems in training; technical equipment of classrooms and laboratories. These directions are fully consistent with the tasks which are presented in the strategic development programs of Russian universities and can be implemented by the management and teachers shortly.

Conclusion. In conclusion, the tasks of innovative development of the educational process are briefly listed in a structured manner. It is emphasized that they can be useful for both regional and capital universities.

Research target: Psychology Education
Priority areas: sociology management
Language: Russian
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DOI
Text on another site
Keywords: методы обученияразвитие образованияteaching methodsonline learningонлайн образованиеeducation developmentforms of teachingформы преподавания
Publication based on the results of:
The newest demographic history of Russia: 1990-2020. Population replacement and migration in the optics of the period and cohort analysis (2020)
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