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News
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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Электронные петиции портала Российская общественная инициатива (2013-2017): о чем говорит динамика общественных приоритетов

Вестник общественного мнения. Данные. Анализ. Дискуссии. 2019. Т. 129. № 3-4. С. 103–113.
Porshnev A., Лячина К. Г.

The electronic petition portals that have appeared in the last ten years provide not only a new and very promising channel for political communication and political participation, but also an opportunity to study topics of public interest. The aim of this article was to study the thematic representation of citizens' interests in electronic petitions, their regional specificity and voting dynamics. In a study based on 9802 texts of electronic petitions published on the Russian Public Initiative portal from 2013 to 2018 topics of public interest, their dynamics and regional specifics are considered. Analysis of the texts of the petitions using thematic modeling revealed 14 main topics. An analysis of the inequality of the votes in support of petitions belonging to a topic, using the Ginny coefficient, showed a high inequality in distribution of votes. During the study, we run analysis of all petitions and petitions that received the highest support. The analysis showed the leading positions of the topics: “Legislation”, “Politics”, “Work” and the presence of regional features in the petitions submission. Three types of topics have been identified that demonstrate: stability, decline and growth of interest.

Research target: Sociology (including Demography and Anthropology Media and Communications
Priority areas: sociology humanitarian
Language: Russian
Full text
Keywords: общественные интересытематическое моделированиецифровое политическое участиеэлектронная петиция
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