Innovative approaches to the formation of an economic management system for the implementation of Arctic development programs in the digital age
One of the elements of economic management is recommender systems — a tool based on objective assessments, comparisons, analytical models, etc. Modern digital technologies make it possible to evaluate the effectiveness of machine learning methods and algorithms for the preprocessing and lassification of poorly structured data in recommender systems, for example, economic management in The Arctic. Costs and results are the basis of any economic analysis, but for the Arctic there are a large number of parameters that are difficult to measure economically (environmental, social, and many others).
Keywords: economic management, innovative systems, the Arctic, information support for development, socio-economic infrastructure
References
1. V. N. Leksin, B. N. Porfiryev. State management of the development of the Arctic zone of the Russian Federation: tasks, problems, solutions. M.: Publishing House «Scientific Consultant», 2016. 386 p.
2. A. V. Putilov, I. N. Matitsin, S. A. Korolev. Big data, its processing and analysis — the basis for planning the development of the Arctic//Transactions of the Free Economic Society of Russia. Vol. 216. M., 2019. P. 158-165.
3. A. V. Putilov, M. N. Strikhanov, G. V. Tikhomirov. Personnel training for developing nuclear energy//Izvestiya Vuzov. Nuclear Energy. 2019. № 2. P. 208-217.
4. V. N. Leksin, B. N. Porfiryev. The Russian Arctic today: substantial innovations and legal collisions//Regional Economy. Vol. 14. № 4. 2018. P. 1117-1128.
