Using Open Data for Information Support of Simulation Model of the Russian Federation Spatial Development

Abstract

In this paper we present a model of spatial development of the Russian Federation and principles of integrating open data into it. Our study is interdisciplinary and combines methods of computer modeling, artificial intelligence, demographic, financial and economic analysis. The proposed approach has significant differences from currently used mathematical and computer models of the economy, as it allows to reflect the spatial aspect of economic dynamics, integrate large arrays of accumulated data, take into account structural interrelationships of economic agents, influence of administrative mechanisms and institutional environment. The model is agent-based and consists of several modules, representing demographic, economic, financial processes, employment and consumption, educational and administrative institutions. Acting subjects in the model are artificial agents capable of interaction with each other and social environment. For the information support of the model large amounts of data on economic interrelations and spatial structure of the Russian economy are formed, including Federal State Statistics Service yearbooks and official information on the websites of the ministries.