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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
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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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Теоретизируя цифровые платформы: концептуальная схема для гиг-экономики

Экономическая социология. 2023. Т. 24. № 5. С. 11–53.
Shevchuk A.

Contemporary sociology of work pays increasing attention to the study of the work experiences of individuals engaged in digital labour platforms. However, for a deeper understanding of the gig economy, this approach needs to be complemented by an analysis of the digital platforms as organizational structures and social actors. This article proposes a conceptual framework for such analysis, drawing on theoretical insights from economic sociology, institutionalism, and political economy. The role of digital platforms is problematized through the five key categories (organizational innovation, mediator, market infrastructure, private regulator, institutional entrepreneur), which are systematically integrated into the analysis. Digital platforms represent a radical organizational innovation built on technologies capable of effectively coordinating the activities of dispersed agents without requiring their spatial, temporal, or organizational co-presence. This facilitates the growth of businesses benefiting from the mediation of external workers and resources. The communication means facilitated by platforms gradually transform into systemic infrastructure, shaping the fundamental conditions for market functioning. With the ability to unilaterally establish “rules of the game” and exercise algorithmic control, platforms evolve into private market regulators, competing with the state. To strengthen and legitimize their power, platforms actively engage in the political process with the aim of social market reorganization and overall institutional restructuring. At this stage, the conceptual framework loops back to the idea that platforms represent an innovation, the diffusion of which must address the most acute social contradictions related to the role of platforms as mediators, infrastructures, private regulators, and institutional entrepreneurs.
The article demonstrates how the proposed categories can be applied to the analysis of various gig economy issues.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Text on another site
Keywords: социология рынковsociology of marketsрегулирование рынка трудаинфраструктура рынка трудацифровые платформыинституциональное предпринимательствогиг-экономикаплатформенная экономикаPlatform Economyплатформенная занятостьgig economyplatform workгигономикаdigital labour platformsцифровые трудовые платформыLabour market regulationsплатформенный трудцифровые платформы занятости
Publication based on the results of:
Platform labour: Autonomy and control in the context of algorithmic management (2023)
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