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Subject
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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Business Architecture Flexibility as a Result of Knowledge-Intensive Process Management

Global Journal of Flexible Systems Management . 2017. Vol. 18. No. 1. P. 73–86.
Gromoff A., Bilinkis (Stavenko) J., Kazantsev N.

In 2016 a survey was conducted among Russian companies to discover the most common problems associated with flexibility of business process management. A gap between strict process formalization demands and unpredictable nature of many knowledge-intensive operations was identified. The article suggests an approach to facilitate process management via combined context-aware set of methods. Firstly, the key terms are selected to serve as special cause indicators of variation in a process instance based on risk profiles. Afterward a cloud service is called, which automatically analyzes semantic annotation of the concrete process instance. Risk detection service identifies potential operational risks and in case of unexpected process execution complexities notifies users. Finally, expert search service calls for an expert in an organization automatically to create expert community. This novel approach could be used for knowledge-intensive business sectors (such as Research and Development) or in any organization interested in increasing its agility in changing business environment.

Research target: Computer Science Economics and Management
Priority areas: business informatics
Language: English
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Keywords: business process management (BPM)business architectureBusiness flexibilitybusiness agilityKnowledge-intensive industriesKnowledge-intensive process management
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