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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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The hard way from the Beveridge to the Bismarck model of health finance: Expectations and reality in Russia

Frontiers in Public Health. 2023. Vol. 11. Article 1104209.
Shishkin S., Sheiman I.

Most post-communist countries have introduced mandatory health insurance (MHI), systems which completely or partially replaced national health systems known as budgetary models. In Russia, an attempt was made to introduce a competitive MHI model with multiple health insurers. But the expectations were too high. The current MHI system has acquired an increasing number of features inherent in the previous budgetary model. The objective of the paper is to analyze the institutional characteristics and the outcomes of a new mixed model. A combination of two analytical approaches is used: i) the consideration of three functions of the financing system (revenue collection, pooling funds, purchasing health care), ii) exploring three types of the model regulation  - state, societal, market. We analyze the types of regulation that are used to implement each of three finance functions. The findings are controversial. The model has contributed to a more sustainable health funding and its geographic equalization, as well as to service delivery restructuring, while the implementation of its purchasing function has many unsolved problems. We highlight the dilemma of the further development of the model: a) to develop market mechanisms and thereby strengthen the impact of health insurers on the health system performance; b) to continue replacing the remaining market and societal regulatory mechanisms with the state regulation. The lessons learned for the countries considering the transformation of their budgetary health finance model to the MHI model are presented.

Research target: Economics and Management Health Studies
Language: English
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Text on another site
Keywords: обязательное медицинское страхованиефинансирование здравоохраненияRussiahealth financemandatory health insurancehealth finance functionshealth finance modelscollection of fundspooling fundspurchasing health careфункции финансирования здравоохранениямодели финансирования здравоохраненияформирование средстваккумулирование средствпокупка медицинской помощи
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