Watch:
Intelligent Cities – Smart Cities – Innovation Ecosystems
The International Conference on Integrating Regional Intelligence is organised in the framework of the Meta-Foresight initiative, an international project financed by the European Commission through the “Regions of Knowledge” Pilot Action.
This Conference will be held on the 6th and 7th of October in Cáceres (Extremadura Region), one of the 8 world heritage cities of Spain.
A paper by Wulong Gu and Jianmin Tang
Examining innovation performance of Canadian manufacturing industries over the 1980–1997 period, the two authors found that almost all industries, with the exception of rubber and plastic, non-metallic mineral, and refined petroleum and coal products, became more innovative. Innovation performance was estimated with respect to four observable indicators:
European Trend Chart on Innovation outlines five methods for calculating a composite innovation index from a number of analytical indicators. These methods may be useful for estimating overall innovation performance of countries, regions, industry sectors, even companies. For each method the advantages and disadvantages are presented.
A paper from Edward L. Glaeser and Albert Saiz
The authors claim that ‘For more than a century, educated cities have grown more quickly than comparable cities with less human capital. This fact survives a battery of other control variables, metropolitan area fixed effects and tests for reverse causality.
Top intelligent cities and regions for 2005, selected by the Intelligent Community Forum for their achievements in the field of innovation and broadband infrastructure development present a variety of profiles and trajectories:
92 industrial districts appear on the portal of the Italian Industrial Districts Club. They are found in many traditional industry sectors: food, paper, plastics, rubber, mechanics, jewellery, leather, shoes, furniture, textiles, and clothing. The profile of each district outlines among others its specialisation, number of companies and employees, and sales turnover.
Business Intelligence (BI) offers a series of tools and techniques for data analysis, trends description, and evaluation. BI complement more traditional intelligence techniques, such as foresight, benchmarking, and assessment. BI technologies attempt to help companies
