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Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Spatial Economic Systems Development: Modeling Methods for Strategic Analysis

P. 94.
Serova E.

The key distinguishing feature of strategic management of spatial economic systems is its interdisciplinary nature and the ability to take advantages of the system analysis and synergetic effect in the study of a range of different fields of knowledge. In recent years, the strategic planning of spatial development is becoming increasingly important when making of critical decisions in management and economics.  Frequently, such decisions involve using of adequate system models and appropriate methodological approaches. The main objective of this paper is analysis the main domains or areas of system models applying for creating of interdisciplinary databases and forecasting of the results of interaction and interference of different kinds economic spaces.  The problem the author works with here is: How we can successfully use the advantages of complex system models of spatial organization to determine resource potential and increase the competitive advantages of the territory. Scientific methodology of the research is based on system approach, complex and comparative analysis, dynamic principle, and comprehensive consideration of the processes of spatial strategic planning. This study shows that there are the following main types of models used in spatial strategic planning:

·         Scientific cognition models or theoretical models, which are used for the development and deepening of the theoretical and methodological aspects;

·         Applied models used to solve practical problems;

·         Hybrid models, that combine the different approaches, styles, and modeling paradigms.

There is the particular group of models and modeling systems - intelligent models and systems that allow in conditions of uncertainty, incomplete initial data and complex interdependence between elements of investigated spatial regional economics system to evaluate the implications of realization of various scenarios of strategic spatial development. The major advantage of intelligent model and systems is the ability of multidimensional representation of spatially localized complex systems, within which the spatial interaction of market, macroeconomic, industrial, and social and technological factors may be taken into account. These factors can be considered as determinative not only for sustainable competitive advantage and for development of the region, but also for the formation conditions of maximizing region's contribution to strategic spatial development of higher-level systems.

Language: English
Keywords: regional economicsstrategic spatial planningsystem modeling

In book

20th EBES Conference - Vienna program and abstract book
20th EBES Conference - Vienna program and abstract book
Istanbul: EBES Publications, 2016.
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