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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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Современная аналитика образования № 8(68): Паттерны поведения региональных систем общего образования в условиях непрогнозируемого кризиса на первых этапах его проявления (период «шока»)

Вып. 8(68). M. : Higher School of Economics Publishing House, 2022.
Zair-Bek S. I., Mertsalova T.
Under the general editorship: Н. Андрианова

The authors analysed the external and internal factors of the COVID-19 pandemic first outbreak (March — June 2020) and the responses of general education to those factors. It was revealed that both the combination of factors and the responses to them in different regions were different in view of the federal nature of the Russian state structure. The differences manifested themselves in the nature of local management decisions, in the reaction to the signals coming from the federal centre, and in the further behaviour of education managers and participants in educational relations. The analysis was carried out on the basis of open sources and the data from the interviews with representatives of educational authorities at the regional and municipal levels, as well as school principals.

Particular attention was paid to studying the experience of distance teaching and learning arrangement, to analysing the material, technical, personnel, informational and methodological conditions and measures taken at different levels of management to improve such conditions. The institutional behavior of regional general education systems was studied through evidence describing the change in the nature and organization of the educational process, including the period of preparation and implementation of the final state certification, as well as through the analysis of feedback received from teachers, students, parents and the administration of general education organizations as they were asked to describe their feelings, changes in motivation and nature of actions.

The material summarizes a large array of research work on the functioning of the general education system during the first stage of the COVID-19 coronavirus pandemic and may be useful for researchers, graduate students and managers who plan and implement management decisions, in situations of increased risks inclusive.

Research target: Education Economics and Management
Language: Russian
Text on another site
Keywords: общее образованиеуправление образованиемдистанционное обучениеgeneral educationeducation managementдистанционное преподаваниеCOVID-19 pandemicпандемия COVID-19distance teaching and learningregional systems of general educationinstitutional behaviour региональные системы общего образованияинституциональное поведение
Современная аналитика образования № 8(68): Паттерны поведения региональных систем общего образования в условиях непрогнозируемого кризиса на первых этапах его проявления (период «шока»)
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