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E4
The ambition of E4 STREP is to be the catalyst of current and past R&D multi-disciplinary efforts (organisational, managerial, psychological, socio-economical, technical) to finally apply cbusiness and extended product paradigms to enlarged EU SMEs, irrespective of the sector they belong to and of their geographical location.
The method followed will be a holistic multi-dimensional collaborative approach which is able to encompass all stages of collaboration from “cradle-to-grave†(initiation, management, operational life and dissolution), all phases of extended products’ development (conception, design, prototyping), all forms of collaboration (ad-hoc, mediated and planned) and all enterprise assets in any type of business network (people, ICT-systems, processes and knowledge assets).
This holistic paradigm requires a multi-disciplinary and multi-sector perspective, in which human skills and competencies, heterogeneous knowledge assets, independent business models and proprietary ICT systems have to become cooperative & concurrent working teams, shared & accessible resources, synchronised & interconnected processes, inter-operable & open enterprise applications.
To obtain all this E4 aims at developing and engineering a platform to support project and process management which integrate the tools and functions required by the networks they belong to in a cost-effective way. It will moreover support a seamless data exchange with the different levels: design constraints, partial BOMs (Bill of Materials) from above; partial drawings, BOMs and project KPI (Key Performance Indicators) from below.
The project will rely upon ASP concepts to provide the required resources – tools or services in a Web based mode to be paid on a use basis – and will define or complete appropriate ontology.
NEWS:
The impact of the VideoLectures.NET project.The PASCAL network is producing a brochure describing the impact of projects such as VideoLectures.NET. If you would like to share your experiences of VideoLectures.NETwith us, and have your story printed in the booklet, please get in touch with Peter Bentley p.bentley@cs.ucl.ac.uk before the end of April 2008.
Cambridge University Engineering Department - Machine Learning seminars
We are very pleased to announce a collaboration with the Department of Engineering at the University of Cambridge to make Machine Learning @ CUED talks also available via VideoLectures.net.
We established the collaboration with Machine Learning Department at Carnegie Mellon University to make Machine Learning Lunch seminar talks also available via VideoLectures.net.
more on > http://videolectures.net/cmulls



