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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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Populist Conspiracy Theories and Candidate Preference in the U.S.

Acta Politologica. 2020. Vol. 12. No. 3. P. 1–26.
Sawyer P.

The onset of the “post-truth” era, characterized by the accretion of conspiracy theories and “fake news”, has generally coincided with a rise in populist radical right politicians and groups who are often the receptors and propagators of such conspiracy theories. This study focuses on the consequences of conspiracism in populist candidates, arguing that conspiratorial ideation is not simply a tendency of populism but also holds instrumental value which can result in electoral benefits. Given the lack of detailed data concerning adherence to certain conspiracy theories, I incorporate data from Google Trends concerning interest in certain conspiratorial topics to overcome this lacuna. Taking the case of the 2016 presidential election in the United States,

Research target: Social Sciences
Language: English
Full text
DOI
Text on another site
Keywords: популизмpopulismDonald TrumpДональд Трампconspiracy theoriesnational populism Hillary Clintonright-wing populismправый популизмPopulist and radical rightradical right
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