Objective
Knowledge Workers are increasingly involved in new kinds of organizational structures and work interaction patterns that require highly dynamic forms of collaboration, ranging from Nimble (short-lived) to Virtual and Mobile/Nomadic Teams. Teams morph from one kind of organizational structure to another. In most cases, workers engage in many such teams simultaneously and require support from adequate software services.
To meet the requirements of dynamic, multiform team working, current Internet-based Collaboration Working Environments must evolve towards large-scale, loosely-coupled, trusted service-oriented systems, with increased emphasis on P2P capabilities.
inContext will develop a novel scientific approach focused on a new blend of human collaboration and service-oriented systems that explores two basic research strands: efficient and effective support for human interactions and collaboration in various teams through dynamically aggregated software services; use of human-to-human or human-to-service interactions in applying intelligent mining and learning algorithms that can detect interaction patterns for pro-active service aggregation.
In addressing these issues, inContext will explore novel techniques and algorithms for mining human activities and providing context-relevant services, at the right time and granularity, to human interaction partners in those various team forms. To this end, relevance-based context representation models and autonomic service adaptation methods for context-coupling and enrichment will be developed.
Universities, corporate research centres and SMEs from six countries will work together to develop the research that will deliver the new technology. Two end-user partners - a worldwide manufacturing corporate and an association of public administration - will provide the reference environments for investigation and concrete validation of the outcomes of the project.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences political sciences public administration
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
WIEN
Austria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.