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November 6, 2026
Study Reveals Why Experienced Readers Sometimes Make Mistakes in Comprehension
Researchers at the HSE Centre for Language and Brain examined how people comprehend sentences in which the grammatical structure conveys a meaning that conflicts with assumptions based on their life experience. In an experiment, participants were asked to read sentences describing two characters and then identify which character had performed the action. The results showed that people with greater reading experience performed better when a character's actions matched their expectations but were more likely to make mistakes when the actions contradicted those expectations. The paper has been published in the Quarterly Journal of Experimental Psychology. The study was supported by a grant from the Russian Science Foundation.
November 6, 2026
Fall into ML 2026: From Fundamental Research to Discussions on the Future of AI
On October 23–24, HSE University hosted Fall into ML 2026, the fifth conference on machine learning and AI. Over the past five years, the event has grown from a small gathering of researchers into a flagship platform that brings together leading machine learning specialists, early-career researchers, students, and representatives of technology companies. The fifth edition marked a new stage in the development of the conference, with a programme that included discussions with international speakers, presentations of joint research projects, and tutorials on the latest trends in AI.
November 5, 2026
Masters Programmes and AI: Shaping the Future of Higher Education
From October 28 to 30, the 17th International Conference on Higher Education, ‘The (Non)Homogeneous Landscape of Higher Education: Institutions, Trajectories, Effects,’ took place at HSE University. Among the key topics discussed at the plenary sessions on the second and third days were the development of master's programmes and the application of AI in the learning process.

 

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Сетевой подход в изучении межгосударственных конфликтов

Политическая наука. 2016. № 4. С. 111–136.
Aleskerov F. T., Kurapova M., Meshcheryakova N., Mironyuk M., Shvydun S.

A survey of works on network models for international studies is provided. The methodology of the network analysis and selection criteria of empirical data for the analysis of the interstate conflicts are discussed. The model of a network of the interstate conflicts and its visualization are offered. By means of two classical centrality indices (Eigenvector and Page Rank) and a new index of centrality (Short-Range Interaction Centrality), the most influential states during certain periods are revealed.

Priority areas: economics sociology state and public administration humanitarian IT and mathematics business informatics mathematics
Language: Russian
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Keywords: сетевой анализinfluenceвлияниеnetwork analysisinterstate military conflictsмежгосударственные конфликты
Publication based on the results of:
Development and research of new mathematical models in socio-economic and political spheres (2016)
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