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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
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Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Ontology and DSL co-evolution using graph transformations methods

P. 233–247.
Boris Ulitin, Eduard Babkin

The article is related to the problem of implementing consistent changes in the model of some subject area and in the syntax of domain specific language (DSL), dealing with problems in that domain. In our research, we explore an opportunity to provide the method of co-evolution of the ontology, used as a model of the subject area, and DSL. This method combines graph representation of the ontology and DSL with the set of rules, formulated in terms of an automated graph-transformation language. Applicability of the proposed approach is demonstrated using a real-life example of co-evolution of the ontology and DSL in the railway transportation domain.

Language: English
DOI
Keywords: ontologyevolutiondomain-specific languagegraph transformationco-evolutionrailway transportation

In book

Lecture Notes in Business Information Processing
Issue 295: Perspectives in Business Informatics Research. , Switzerland: Springer, 2017.
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