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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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Оптимизация отношения стоимость / эффективность в управлении рисками при разработке информационных систем

Информационное общество. 2023. № 1. С. 5–17.
Кузнецова Д. Ю., Plaksin M. A.

The paper is devoted to the issues of risk management.
In risk management, each risk is characterized by “the magnitude of risk.” For each risk, two plans can be assigned: a risk prevention plan and a risk response plan. Each of these plans is costly to implement. Several different plans may be proposed for the same risk.
The paper proposes a methodology to simplify the risk management process through the use of simple and effective visual analytics tools. The technique allows:
1) assess the validity of the plans; identify risks, the costs of which do not correspond to the severity of the threat of this risk for the project (overestimated or underestimated);
2) if there are several plans for one risk, choose the most suitable one.
In both cases, decision making is based on optimizing the cost / effectiveness ratio.
The paper proposes to compare the magnitude of the risk and the cost of plans for its prevention and response. If the risks are insignificant, their plan should be cheap. Only plans designed to deal with significant risks can be expensive.
To visualize the results, it is proposed to use charts of four types.
The plans are designed to reduce the magnitude of the risk. For comparison of several plans, it is proposed to compare the cost of the plan and the reduction in the magnitude of risk that this plan provides. It is logical to choose a plan in which such a decrease will be greatest.
The described methodology can be applied to risk management not only in the computer science, but also in other subject fields.

Research target: Economics and Management Computer Science
Language: Russian
Full text
DOI
Text on another site
Keywords: управление рискамиrisk managementинформационная системаprogram projectпрограммный проектInformation systems developmentcost/effectiveness ratioотношение стоимость/эффективность
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