Typology of regions
The work in this set of activities is designed to identify main principles for regional innovation and to make them applicable in praxis. Therefore a balance between general findings and regional characteristics concerning innovation supporting conditions and milieus has to be found.
On the regional level specific regional indicators for innovation will be included in a cluster analysis to identify types of regions with characteristics concerning innovation (WP3). As clusters, especially clusters of knowledge, are a part of regional innovation milieus they will be included in the state-of the-art on innovation indicators. Several studies have especially focused on knowledge creation and innovative milieus for certain industries or branches, such as business services, finance or IT development, to name only a few. Although this field of research has attempted to provide a theoretical framework to better understand, explain and foresight success of clusters. Those studies will be included to support the typology of regions as a framework of innovation which needs to be based on general principles. Concerning the above described general principles for the state-of-the-art on innovation indicators also projects beyond Europe should be integrated – focused on key projects providing transferable knowledge for Europe and/or giving any information about the cultural and political background and its role for the innovation. For these types of regions systematic analyses of their regional innovative milieu will be included and result in a factsheets for each type of region. This will include a check concerning the formulated general innovation principles – testing whether they have played a role for the different types of regions going back to certain regions as case studies representing there type of region. As part of an iterative process the last step will also include a critical discussion, testing and adaptation of the main principles. This means that a testing process will be involved where we will be constantly comparing all the general findings with the case studies.