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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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International Organizations as Global Migration Governors: The World Bank in Central Asia

Global Governance. 2017. Vol. 23. No. 3. P. 403–421.
Korneev Oleg

Numerous international organizations play a key role in generating and sustaining migration governance across the world in the absence of a global migration regime. However, global governance scholarship lacks grounded understanding of their role, which is often rejected or simply left unnoticed. In rare cases when international organizations do get academic attention, light is shed on two referent “migration” international organizations – the International Organization for Migration and the UN High Commissioner for Refugees – while other IOs remain in their shadow. Drawing on the case of the post-Soviet Central Asia, which is characterized by both significant migration dynamics and multilayered governance but has so far escaped attention of migration governance scholars, this article takes two steps for establishing a new research agenda. First, it deploys and applies to international organizations the concept of global migration governors defined as authorities who exercise power across borders for the purpose of affecting migration policy. Second, it moves discussion beyond the referent international organizations and demonstrates the role of often overlooked nonreferent international organizations, such as the World Bank, active in the field of migration governance. This analysis is based on fieldwork in Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Russia conducted in 2011−2015.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology Economics and Management
Priority areas: sociology state and public administration
Language: English
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Keywords: Всемирный банкЦентральная АзияWorld BankCentral Asiaмеждународные организацииInternational Organisationsmigration governanceglobal governorsуправление миграционными процессамиглобальные регуляторы
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