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Subject
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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Winners and losers from the world going green: Index of country-level readiness to energy transition

Energy Research and Social Science. 2026. Vol. 132. Article 104548.
Igor Makarov, Elizaveta Smolovik

The global low-carbon energy transition affects different country groups unevenly, creating significant opportunities for some and exposing others to risks. To capture this asymmetry, we develop an index of readiness to energy transition (RET index) that ranks 133 countries according to their potential gains and losses. The index includes two dimensions: transition assets, which are exposed positively, i.e., clean energy potential, abundance in critical metals and minerals, and negatively, namely dependence on fossil fuels and fossil fuel intensive industries, carbon intensity of economies, as well as adaptation potential. The resulting ranking of countries provides useful insights into countries' standing in low-carbon energy transition. Most of developed countries gain from high adaptation potential and limited carbon-intensive transition assets, making them resilient to low-carbon transformation. China occupies a unique position, benefiting from strong clean energy potential and dominance in the global critical materials landscape. On the contrary, many emerging and developing economies face high transition risks due to fossil fuel dependency, high overall carbon intensity and relatively weak technological and institutional capacities. The RET index thus highlights these asymmetries, emphasizing the importance of targeted international support and differentiating mitigation ambition levels under just energy transition framework.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: climate changevulnerabilityenergy transitionindex designjust transitiontransition risks
Publication based on the results of:
Risks and opportunities for Russia's socio-economic development in integrated scenarios of climate change and low-carbon transformation of the global economy (2024)
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