International projects
Coordination Action of the European Network of Territorial Intelligence
Organisations (1)
Abstract
The objective of the CAENTI, Coordination Action of the European Network of Territorial Intelligence, is to integrate current research activities on tools of territorial intelligence so as to provide them with a European dimension. The CAENTI aims to promote comparative research to conceive and spread tools, methodologies and research protocols accessible to the researchers in the social sciences and to the actors of sustainable development of territories. It will constitute applicable data sets for multi-field research and for territorial development.The EU introduced several years ago the need for project management and evaluation. Since Goteborg, sustainable development rules have established the principles of good governance: participation, well-balanced approach and partnership. Scientific methods adapted to these principles are available to the experts, but the territorial actors rarely benefit from simple and cheap tools to elaborate, manage, observe, evaluate and transfer their projects. Such instruments mobilise fundamental research activities - provider of quality guarantee - as well as territorial actors to experiment and evaluate them. The CAENTI consortium will organise a rigorous management of its coordination activities. An annual international conference and an Internet gateway will also facilitate dissemination.Three comparative research activities will be implemented:I). The spreading of fundamental methods and research design in territorial information analysis within the social sciences and humanitiesII). Analysis of the application of the principles of governance of the sustainable development in the territorial research-actionIII). Design and dissemination of methods and tools of territorial intelligence accessible to the territorial actors and respectful of sustainable development ethics. I. and II. will help towards the design of tools. III. will allow in return the constitution of data sets feeding both I. and II.
