Big data and artificial intelligence in public administration: analysis of the theory and selection of Russian scientific communities

Abstract

The work is devoted to the problem of introducing big data technologies and artificial intelligence into the public administration system. The study included Russian-language scientific publications (N = 837), collected from the scientific electronic library eLIBRARY.ru, integrated with the Russian Science Citation Index, and compared with the results of a similar study by A. Suominen and A. Hajikhani based on English-language articles from SCOPUS (N = 538). This approach advances the discussion about the essence of technologies for the public administration system, offering an alternative program for further research. To identify Russian bibliographically related clusters, a script was developed in the Python programming language, and a library in Excel format was formed. In order to improve the tools and conduct a scientific audit, the script, together with the library, is made available to the public for use by the scientific community without restrictions.