Angi E. Skhvediani
Angi E. Skhvediani
Associate Professor of Higher School of Engineering and Economics
Head of Research Lab «System Dynamics»
Leading Analyst
PhD in Economics

English proficiency:

Fluent

Research projects:

  • Spatial and temporal modelling of socio — economic systems
  • Regional industrial specialization and diversity
  • Effectiveness of investments in higher education
  • Spatial development of territories based on smart city technologies and intelligent transport systems
  • Digital model of the Russian Federation regional innovation system as a factor of sustainable development
  • Inclusive cross-border cooperation between Russia and Finland
  • Economics and innovation management

Research topics:

  • Econometric modeling of urban, industrial, and regional development
  • Application of machine learning methods for analysis and modeling of socio-economic processes and phenomena
  • Geospatial analysis and modelling of urban agglomerations.

Field of study:

Regional and Sectoral Economy

Research interests:

Scientific interests revolve around analysis and modelling of various socio-economic processes and systems using mathematical, statistical, and instrumental methods. Specifically, I use econometric analysis, machine learning, geospatial analysis, and simulation modeling techniques. I use these methods to model and analyze dynamics and patterns of regional, urban, and industrial development.

Research highlights:

  • Skhvediani A., Sosnovskikh S., Kudryavtseva T., Nalwanga S. Modelling of a Regional Industry Specialisation: The Impact of Agglomeration Effects on Labour Productivity. International Journal of Trade and Global Markets (IJTGM), Vol. 19, No. ¾, 2024. doi.org/10.1504/IJTGM.2022.10 047 538
  • Skhvediani A., Koklina A., Kudryavtseva T., Maksimenko D. The Impact of Intellectual Capital on the Firm Performance of Russian Manufacturing Companies. Risks 2023, 11, 76. doi.org/10.3390/risks11040076
  • Rodionova M., Skhvediani A., Kudryavtseva T. Prediction of Crash Severity as a Way of Road Safety Improvement: The Case of Saint Petersburg, Russia. Sustainability 2022, 14(16), 9840; doi.org/10.3390/su14169840
  • Arteeva V.S., Skhvediani A.E., Sosnovskikh S. Dynamics of changes in competencies required in the labour market for data analyst and business analyst professions in Russia. Journal of Applied Economic Research. 2024. Т. 23. № 4. С. 1150−1181. doi.org/10.15 826/vestnik.2024.23.4.045
  • Talipova L., Morozova E., Pestova D., Skhvediani A. Methodology for Creating a Geographic Information System for Transport Infrastructure Facilities. International Journal of Technology. 2023, Volume 14(8), pp. 1831−1840. doi.org/10.14 716/ijtech.v14i8.6849

Specific requirement:

Basic knowledge of statistics, mathematics or programming.