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News
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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Climate change and national security in Russia

Ch. 5. P. 82–102.
Makarov I. A., Chistikova A.

This chapter describes climate security discourse and practices developing in Russia for the last decade. It reveals that, while Russia faces severe physical risks from climate change, climate change is scarcely perceived as an existential threat among key decision-makers and the population. The country’s climate policies are more focused on adaptation, while its mitigation policy framework is more oriented on helping Russian businesses avoid hurdles on foreign markets, not on significantly cutting emissions. This situation reflects a parallel securitization process, wherein the global green transition is regarded as a threat to Russia’s fossil fuel-dependent economy. These economic considerations, coupled with climate change skepticism and narratives that emphasize the benefits of climate change, have led to the perception of the green transition as a “climate agenda,” i.e., a temporary process imposed on Russia externally. Internationally, Russia opposes the inclusion of climate change in the global security agenda. The chapter concludes that Russia’s climate policy is an outcome of this complex interplay of the two threats, and is characterized by high emphasis on adaptation but little motivation to enhance ambition on mitigation, and by sensitivity to the external political environment and to the remaining interest of certain businesses in voluntary climate efforts.

Language: English
DOI
Text on another site
Keywords: securitizationclimate securityclimate agendaRussia's climate policy
Publication based on the results of:
Analysis of the long-term impacts of climate change, areas of adaptation and measures to reduce greenhouse gas emissions in Russia and its BRICS and SCO partners (2025)

In book

Climate Change, National Security and Geopolitics: Strategies and Responses of Five Major Powers
Routledge, 2026.
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