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April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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Региональные различия в доступе к образовательным ресурсам, в академических результатах и в траекториях российских учащихся

Экономическая социология. 2020. Т. 21. № 1. С. 60–80.
Zakharov A., Adamovich K.

Today is still little known about regional inequality in education in Russia. In this article, we, on the one hand, analyze regional differences in educational resources in their association with regions’ socio-economic characteristics. On the other hand, we estimate relationship of regions’ socio-economic characteristics and educational resources with the proportion of students remaining in high school as well as with the average results of the Unified State Exam (end of high school test) in two compulsory subjects - Russian and math. We test theories of effectively maintained inequality and maximally maintained inequality with the use of data of Russia regions that we retrieve in open sources – publications of Rosstat, federal and regional education agencies. To estimate the relationship we use correlation and regression analysis. Our results show that more urbanized regions with higher level of human capital and GRP are usually characterized by the higher level of school expenditures, more experienced teachers, and higher chances for students to study at the advanced level. The same time, the level of urbanization and human capital is positively related to the proportion of students that choose academic trajectory after finishing secondary school. Finally, the results of the Unified State Exam are also positively associated with access to educational resources. In both subjects, the average test score is higher in the regions with higher proportion of students in lyceums/gymnasiums and in schools with advanced study of the subjects. In Russian, the exam results are also related to the proportion of students remaining in high school. In general, regional inequality in access to educational resources overlaps with socio-economic differences which produces a situation of double loss or double advantage. Bigger access to better educational resources in regions with higher human capital supports effectively maintained inequality theory. The same time the fact that less proportion of students choose academic trajectory after grade 9 in regions with less human capital could be an evidence of maximally maintained inequality. The article could be interesting to readers whose study relates to problems of education inequality and education policy.

Priority areas: economics sociology
Language: Russian
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Keywords: качество образованияобразовательные траекторииобразовательное неравенствообразовательные ресурсыterritorial inequalityтерриториальное неравенствоthe quality of educationeducational resourceseducational trajectoriesЕГЭthe Unified State Examination educational inequality
Publication based on the results of:
Strategies, barriers and factors for including digital technologies in the educational process by primary school teachers (2020)
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