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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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Who funds whom exactly? A study of funding acknowledgments

Journal of the Association for Information Science and Technology. 2025. Vol. 76. No. 10. P. 1292–1307.
Panova A., Matveeva N., Sterligov I.

Research funding plays a crucial role in the production of knowledge, and its nature varies considerably from country to country. Numerous studies have analyzed research funding from a bibliometric perspective. However, the role of individual authors in attracting funding remains understudied, and it may be crucial for many actors. We propose a new approach that provides a more accurate picture and test it on post-Soviet countries with low scientific production. We analyze the funding sources of the most visible part of the natural sciences by focusing on the funding acknowledgments of their papers in Nature Index journals published in 2017–2021. Both the country of origin and types of sources are accounted for. Our approach reveals marked differences between traditionally used paper-level and proposed author-level funding links. The shares of funding sources measured in this way are very different, especially with regard to foreign sources and the role of specific countries. This is particularly important when studying international papers and the roles of the countries involved, even more so for the countries with lower research capacity. Utilizing a case-driven funding sources classification, we paint a rich picture of diverging post-Soviet funding landscapes, mostly driven by national grants and EU-wide programmes.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: publications post-Soviet countriesresearch fundingFunding Acknowledgments
Publication based on the results of:
Production function of Russian higher education institutions: analysis of features, structure and changes (2024)
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