Strategic Planning of Science City Socioeconomic Development

Abstract

A Science City (SC) is an urban development vision of a Smart City that includes a powerful city-forming scientific-industrial complex in an advanced fashion with a view to managing a city’s assets and human capital. Therefore, the strategic planning of the SC’s socioeconomic development requires as special scientific-industrial and cultural marketing analysis involving citizens in strategic processes (civic participation). Certain factors should be considered, such as the fact that SC strategic planning must be coordinated with the federal government and regional authorities, as citizens are demanding more accountability from the government and it is necessary to create conditions for networked group self-organization. So, SC strategic planning has become a transparent networked multilevel decision-making process where marketing analysis and civic participation are the challenge for Smart City strategic planning methodology. Under such conditions this paper aims to develop the author’s convergent approach (CA), which would help to accelerate the networked strategic meetings by applying Situational Center, Cognitive Modeling, Genetic Algorithm, and Big Data analysis technology for the verification of cognitive models. This study is an attempt to address the issue of applying CA for accelerating SC strategic planning with civic participation and marketing analysis. To portray the issue of scientific-industrial complex and cultural marketing analysis in these terms, Quality Function Deployment was used. This ground was tested in the SC strategic planning process in the SCs of Korolev and Fryazino, Moscow Region, Russia. It was shown that the CA helps to speed up the traditional strategic planning significantly.