TY - GEN
T1 - A collective intelligence resource management dynamic approach for disaster management
T2 - 3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011
AU - Asimakopoulou, Eleana
AU - Bessis, Nik
AU - Sotiriadis, Stelios
AU - Xhafa, Fatos
AU - Barolli, Leonard
PY - 2012/1/19
Y1 - 2012/1/19
N2 - Currently, there is a growing interest in developing methods, systems and tools for managing disasters in a computational and integrated manner. This is due to the development of several next generation emerging technologies, which seem to be more fit for purpose. Various emerged distributed and computational paradigms include collective intelligence, Internet of things, social networking, contextaware, sensors and collaborative technologies such as grids, clouds and crowds; these are just few to name here. In our previous works, we have discussed and demonstrated the potential of these technologies for disaster management in a manner, which seems to be more synergetic towards an integrated and more informed decision-making. In this paper, the aim is two-fold: firstly, to demonstrate quantitative evidence supporting the increasing occurrence of disasters in terms of costs during the preparedness and recovery disaster stages. Secondly, there is current stagnation in resource matters, that is to say, it would be of particular importance to develop a more focused and resource balanced disaster management approach. Due to the data complexity and volume, our survey is predominantly focused on evidence from disasters occurred in 27 European countries.
AB - Currently, there is a growing interest in developing methods, systems and tools for managing disasters in a computational and integrated manner. This is due to the development of several next generation emerging technologies, which seem to be more fit for purpose. Various emerged distributed and computational paradigms include collective intelligence, Internet of things, social networking, contextaware, sensors and collaborative technologies such as grids, clouds and crowds; these are just few to name here. In our previous works, we have discussed and demonstrated the potential of these technologies for disaster management in a manner, which seems to be more synergetic towards an integrated and more informed decision-making. In this paper, the aim is two-fold: firstly, to demonstrate quantitative evidence supporting the increasing occurrence of disasters in terms of costs during the preparedness and recovery disaster stages. Secondly, there is current stagnation in resource matters, that is to say, it would be of particular importance to develop a more focused and resource balanced disaster management approach. Due to the data complexity and volume, our survey is predominantly focused on evidence from disasters occurred in 27 European countries.
KW - Collective intelligence
KW - Computational resource management
KW - Emerging technologies
KW - European disasters
KW - Integrated disaster management
UR - http://www.scopus.com/inward/record.url?scp=84857143444&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84857143444&partnerID=8YFLogxK
U2 - 10.1109/INCoS.2011.15
DO - 10.1109/INCoS.2011.15
M3 - Conference proceeding (ISBN)
AN - SCOPUS:84857143444
SN - 9780769545790
T3 - Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
SP - 735
EP - 740
BT - Proceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
Y2 - 30 November 2011 through 2 December 2011
ER -