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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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Сравнительный анализ деятельности американских НКО в КНР и китайских НКО в США

Вестник Российского университета дружбы народов. Серия: Международные отношения. 2021. Т. 21. № 2. С. 350–371.
Харкевич М. В., Писарев И. И., Cheresov V., Новоградская М. О.

 

This article analyzes the activities of American non-governmental organizations (NGOs) in China and Chinese NGOs in the United States in the context of global competition between the United States and China for the leadership in the future model of the world order. In International Relations theory, especially in its theoretical paradigm of realism, the consideration of states as actors in international relations dominates scholarship. However, in recent decades it has become apparent that researchers have a significant interest in non-state actors, such as interest groups and NGOs, and their impact on international relations. NGOs in China and the United States have different historical backgrounds, environments, and government institutions in different ways. Still, but in terms of comparative analysis they represent comparable categories. The analysis offered in this study shows that, firstly, despite the strict regulation of the activities of NGOs in place in China, American NGOs have more opportunities to work in this environment than Chinese NGOs do in the United States, where the situation for their activities is apparently more favorable. Secondly, despite the advantages that partnerships provide, neither American nor Chinese NGOs form partnership networks and therefore, lose momentum for their own development. Thirdly, although the conditions for their activities differ in both countries, American and Chinese NGOs have equal opportunities to pursue their goals. Finally, American NGOs in China are less dependent on their government than Chinese NGOs in the United States are on the Chinese government. The study is comparative and takes as its units of analysis Chinese NGOs in the United States and American NGOs in China. Developments in the field of interest group politics serve as the theoretical framework for this research. The investigation uses methods of comparative quantitative analysis and social network analysis, while the interdisciplinary nature of the methods allow them to take advantage of the analytical capabilities of Comparative Political Science, Interest Group Politics, and International Relations.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: сетевой анализгруппы интересовлоббированиелоббизм
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