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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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Russia's Water Resources 2030: Policy Recommendations

2015. No. 44.
Proskuryakova L. N.
The Foresight study presented in this paper is devoted to the sustainable use of water resources in Russia. The authors analyse possible trajectories of development in the three thematic areas (i) sustainability of water systems; (ii) water use by households and in industry; and (iii) new water products and services. The Foresight methods cover expert interviews and seminars, desk research, and policy analysis. The state and corporate policy recommendations for the water sector offered in this study correspond with the water scenarios earlier identified by Saritas et al.: “Nearly ideal future”, “Losses and accidents”, “Problem conservation”, and “National Priority” [Saritas et al., 2015]. For each of these four scenarios, policy recommendations for water companies were identified covering new solutions (including technological innovations), new values and competencies, organisational changes, modernisation of the infrastructure, financial issues, and legal and regulatory changes. Moreover, we recommend certain policy measures and approaches to state policy in the water sector.  The paper concludes with the main directions and instruments for the sector’s development, which should be planned and implemented jointly by the government and businesses, as well as other stakeholders (organisations and people).
Research target: Economics and Management Earth Sciences Biology
Priority areas: economics management state and public administration
Language: English
Full text
Text on another site
Keywords: форсайтРоссияRussiaforesightуправление водными ресурсамиwater resourcesводные ресурсыводоснабжениеwater managementсценарии будущеговодопользованиеwater usevirtual waterвиртуальная водаWater governancescenariosводная политикаwater policywater goodswater services
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