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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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?

Predictive Model of Strategic Development of a University

P. 459–467.
Nadezhda Titova, Aleksey Shutov

The paper presents an economic and mathematical model designed to forecast development of a university depending on social and economic changes in the country and the amount of public funding of education. The university's internal decisions how to distribute its budget among operational activities, development, supporting science, and improving educational services and assumed as endogenous variables. The development of the university is viewed as a phase space trajectory defined by the four characteristics: quality of educational services, level of development of R&D and consulting activities, image and financial performance of university.

The choice of parameters meets the major interests of the most important stakeholders: state and society, business and science, labour market, prospective students, and the university staff. The model describes relationships between: a) funds obtainin and spending, b) results of university development along various axes and the investments, c) finance obtained and the results of university development, d) results of the university development in adjacent time intervals. The strenght of the model consists in its practical use confirmed by the first results of modeling.

Language: English
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Keywords: университетпрогнозuniversityquality of educationbalanced scorecardкачество обученияstrategic developmentразработка стратегииprognosiseconomic and mathematical modelrecursive relationsscientific activity of a universityfinancial situation of a universityimage of a universityэкономическая и математическая модельрекурсивные связинаучная работа университетафинансовое состояние университетаимидж университета

In book

Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014
Procedia Computer Science. 2nd International Conference on Information Technology and Quantitative Management, ITQM 2014. National Research University Higher School of Economics (HSE) in Moscow (Russia) on June 3-5, 2014
Vol. 31. , Amsterdam: Elsevier, 2014.
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