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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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The changing international network of sovereign debt and financial institutions

Journal of International Financial Markets, Institutions and Money. 2019. P. 149–168.
Dungey M., John H., Volkov V.

We assess the changing nature of the relationships between financial institutions and sovereigns globally using a weighted, directed network of CDS spreads. The framework includes both the strength and direction of the links in the network, allowing us to formally test for evidence on changes in the completeness of the network, for contagion effects, and for strengthening and weakening of the links in the network. We find evidence of all of these effects for 107 US dollar denominated CDS spreads over 2003–2014. We use the results to illustrate the change from a relatively robust network with some vulnerability to financial sector shocks in the pre-GFC period to a highly fragile network during the GFC and a subsequent return to greater robustness post-GFC where, despite the Greek and European debt crisis effects, fragility is similar when sourced from either financial sector or sovereign debt shocks.

Research target: Economics and Management
Language: English
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Keywords: financial institutionscontagion systemic risk
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