Objective
Effective collaboration dynamics are at the core of crisis management in the transportation sector. Nevertheless, in today’s global environment, a very large number of crisis management initiatives fail to deliver the value expected, as the collaboration challenges in crisis are very high. This is because of the complexity of the knowledge integration processes as well as the diversity and distributed nature of the people, groups and knowledge involved in the management of crisis under high pressure of time. Thus, effective crisis management requires collaborative crisis management competencies at the individual, team, organizational as well as the inter-organizational level. The project builds on interdisciplinary scientific / academic models and best / worst practices and experiences to identify the factors inhibiting effective collaboration in crisis situations in the transport sector (“Collaboration Traps & Challenges in Crises”), and the interventions required to reduce these risks (“Collaborative Crisis Management Competencies”). After integration, this know-how will lead to the development of: • An innovative framework (Advanced Collaboration in Crisis Management – ACCM-Framework), addressing the effective development of collaboration competencies for the specific challenges of crisis management in the transportation sector. • A set of widely deployable, advanced, interactive and experiential technology-enhanced solutions (“ACCM Simulation Games”) guaranteeing the effective understanding and internalization of collaborative decision making processes (1) under extreme time pressure, (2) facing the lack and asymmetries of information, (3) dealing with the diversity and emotions of people, and (4) effectively addressing the interpersonal dimension of speed-relationship building, trust and role definitions between crisis managers in the transportation industry.
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.
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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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-SEC-2007-1
See other projects for this call
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
15125 MAROUSSI
Greece
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.