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News
September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.
September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.

 

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Recent Advances of the Russian Operations Research Society

Cambridge : Cambridge Scholars Publishing, 2020.
Academic editor: Aleskerov F. T., Васин А. А.

This collection of articles highlights the most interesting new results from the IX Moscow International Operations Research Conference, the largest Russian meeting in this field, held every three years for leading experts. These papers will interest researchers and organizations specialized in OR, Game Theory, System Analysis, Macro- and Micro-economic Modelling, and Actuarial Mathematics. The volume may be a source for PhD and Master students in the specified areas. The proposed methods for optimal decision making will be useful for insurance and auditing companies, banks, and others.

The volume consists of three parts; the first includes game-theoretic models, the second part considers innovations and their possible opposite impact to the growth of GDP and social welfare, as well as new methods for improving reliability of banks’ credit risks, monopolistic competition under heterogeneous labor, interregional trade and different ways of developing the Russian banking system. The last part contains articles on a wide range of optimization problems and their applications.

Chapters
Chapter 10. Credit rating patterns: a financial approach for industrial companies
Dyachkova N., Karminsky A. M., , in: Recent Advances of the Russian Operations Research Society.: Cambridge: Cambridge Scholars Publishing, 2020. P. 163–177.
Interpreting and finding patterns in financial data can lead economists to make changes through the process of monitoring and planning. In the context of modern research papers, it often shows results, based on the patterns of financial indicators, which contain some insightful information. In our experience, we obtained results from the distinction of credit rating ...
Added: September 29, 2020
The Comparison of Modifications of the Russian Banking System Model with Identification, Using a Method for Solving Inverse Problems
Sagirova A., Pospelov I. G., Zhukova A., , in: Recent Advances of the Russian Operations Research Society.: Cambridge: Cambridge Scholars Publishing, 2020. P. 196–220.
The work is devoted to solving the problem of identification for two versions of the model of the Russian banking system on the available statistical data. To identify the parameters of models, the method of solving the inverse problem for a system of differential equations is used. For calculations, the Runge-Kutta method of order 4 is used, taking into account ...
Added: June 16, 2021
Increase of Banks’ Credit Risk Forecasting Power Using the Set of Credit Ratings and Probability of Default Models
Khromova E., , in: Recent Advances of the Russian Operations Research Society.: Cambridge: Cambridge Scholars Publishing, 2020. Ch. 11 P. 177–196.
Added: October 31, 2021
Priority areas: economics management state and public administration IT and mathematics business informatics mathematics
Language: English
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Keywords: operations research
Recent Advances of the Russian Operations Research Society
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