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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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Readiness of Russian Companies for Digital Transformation: What’s Changed?

Ch. 14. P. 194–202.
Stoianova Olga, Ivanova V., Lezina T.

The article presents the results of the research on Russian companies' readiness for digital transformation in 2017-2021. The purpose of the study is to observe how the understanding and the attitude of the representatives of Russian business towards the digital transformation and the self-assessment of company’s readiness for this transformation has changed. The source data are the results of surveys conducted in 2018 and 2021 among representatives of companies in St. Petersburg and the Leningrad region. The paper focuses on establishing in Russian companies the Corporate Culture essential to the success of digital transformation projects. It is shown that large companies have shifted towards greater employee engagement and management support for initiatives. However, in small companies, there is still a lack of employee belief in digital transformation and a topdown implementation of digital transformation.

Language: English
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Keywords: corporate culture Russian companies · SurveyReadiness for digital transformationdigital transformation

In book

7th International Conference on Digital Economy, ICDEc 2022, Bucharest, Romania, May 9–11, 2022, Proceedings
Olga Stoianova Vol. 461. , Switzerland: Springer, 2022.
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