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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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Результативность введения эффективного контракта с медицинскими работниками

Экономическая политика. 2020. Т. 15. № 3. С. 176–203.
Shishkin S., Temnitsky A.

The paper presents the results of a study of changes in the salary schemes and working conditions of medical staff, their labor motivation and the compliance of these changes with the objectives of the so-called “effective”, performance-based, contract being introduced. The data from a set of surveys of employees at public medical facilities in 2009–2018 served as the empirical base of the study. It is shown that the introduction of the effective contract had changed the role of factors determining the salary of medical workers. Whereas earlier qualification had been the leading factor, afterwards it was the volume and quality of the work performed as well as the outcomes of a given medical institution or unit. Most doctors had increased the amount of work they do, and the secondary employment of medical staff had slightly been reduced. Survey data indicate quite a stable hierarchy of labor motives among medical workers, the leading ones being earning money, professional interest in work, and altruism. In 2018, the role of the guaranteed employment motive was elevated. Among the positive changes are an increase in the satisfaction of medical workers with the salary, conditions for advanced training, and rules of remuneration. The identified outcomes are generally consistent with the objectives of introducing the effective contract, and they allow one to argue that the new salary scheme has had a positive impact on the labor motivation of medical staff. However, the conclusion of an effective contract was noted by only half of respondents. For the rest, it all boiled down to an increase in salary. These results indicate serious failures in the administration of this reform. 

Research target: Economics and Management
Priority areas: economics state and public administration
Language: Russian
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Text on another site
Keywords: оплата трудаздравоохранениемедицинские работникитрудовая мотивацияhealth carelabor motivationэффективный контракт effective contractsalary scheme medical workers
Publication based on the results of:
Integrative developments in the sector of population health protection (2020)
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