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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Тексты судебных приговоров как источник данных для эмпирических исследований права в России

Мониторинг общественного мнения: Экономические и социальные перемены. 2025. № 2. С. 170–192.
Zhuchkova S., Devyatnikov V., Kazun A., Белов М. Д., Сидорова О. И.

The development of empirical legal studies in Russia is restricted by the lack of sources of disaggregated data on law enforcement available to social researchers. One of the potential sources of such data, which is still insufficiently used in Russian research, is the publicly available texts of court verdicts, in particular court sentences. This article proposes a methodology for using the texts of court verdicts as a possible data source that may be of interest to sociologists conducting empirical research on law and law enforcement in Russia.

Based on their own experience of sentencing research, the authors describe possible options for the collection, preprocessing, and analysis of such texts using text-mining techniques. As an illustration, a recent study of gender differences in sentences for murder under Article 105 Part 1 of the Criminal Code of the Russian Federation is used. The discussion of the potential of using sentencing texts is complemented by an overview of alternative sources of judicial data available in Russia, as well as a reflection on the advantages and limitations of sentencing texts compared to other sources of legal information.

Research target: Sociology (including Demography and Anthropology Law
Language: Russian
DOI
Text on another site
Keywords: судебная статистикаоткрытые данныеempirical legal studiesэмпирические исследования праваweb scrapingвеб-скрейпинг text mining law enforcementtext mining open datacourt verdicts правоприменениеcourt statisticsтексты приговоров
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