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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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От чего зависит амбициозность климатической политики разных стран?

Вестник международных организаций: образование, наука, новая экономика. 2021. Т. 16. № 4.
Stepanov I. A., Агикян Н. Д., Музыченко Е. Э.

Climate change is considered one of the most challenging problems of the 21st century and requires coordinated action by governments across the globe. The Paris Agreement, ratified by most countries of the world, sets the goal of keeping the average temperature rise within 2°C compared to pre-industrial levels. As part of the Agreement, countries set nationally determined contributions (NDCs)—targets for reducing greenhouse gas emissions—which are determined voluntarily. Because these targets are nationally determined, they depend on domestic constraints and the additional opportunities that individual countries’ emission reduction strategies present. As a result, climate policies vary widely among countries, both in terms of the emission reduction targets and the policy instruments used. The purpose of this study is to systematize the factors influencing climate policy using factor and cluster analysis methods. Factor analysis is used to aggregate a set of investigated statistical indicators, reflecting a country’s development level, exposure to climate risks, energy endowment, and foreign tradespecialization, into a series of principal components. Based on the selected principal components, the countries are clustered into homogeneous groups, and the indicators of climate policy ambition are compared among the clusters. The results of the study demonstrate that climate change vulnerability is not a determinant of climate policy. As a rule, the poorest and most vulnerable countries set the least ambitious emission reduction targets. At the same time, rich and energy-abundant countries are more likely to implement active climate policies and set more ambitious emissions reduction targets compared to energy-intensive countries and countries that specialize in exporting carbon-intensive products. Advanced climate policy instruments, such as a carbon tax or emissions trading system, are used with greater frequency in more advanced and energydeficient countries.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: изменение климатаэкономическое развитиеeconomic developmentэнергетическая зависимостьклиматическая политикаclimate changeclimate policyПарижское соглашениеParis Agreementenergy dependencyGHG emissionsnationally determined contributionsсокращение выбросов парниковых газовнационально определяемые вклады
Publication based on the results of:
Assessment of the impact of reducing greenhouse gas emissions on economic growth and prospects for solving the problems of poverty and inequality: aspect of global governance (2021)
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