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.
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Innovation Measurement
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
Nanotechnology, Artificial Intelligence and Robotics: A technical, political and institutional map of emerging technologies
‘Future Technologies’ presents how Greenpeace is thinking about emerging technologies.
The Oslo Manual is an initiative of OECD, the European Commission and Eurostat focusing on the measurement of innovation. It has two objectives: to provide a framework within which existing surveys in OECD countries can evolve towards comparability; and to assist newcomers to this important field.