A collective intelligence resource management dynamic approach for disaster management: A density survey of disasters occurrence

Eleana Asimakopoulou*, Nik Bessis, Stelios Sotiriadis, Fatos Xhafa, Leonard Barolli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011
Pages735-740
Number of pages6
DOIs
Publication statusPublished - 19 Jan 2012
Event3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011 - Fukuoka, Japan
Duration: 30 Nov 20112 Dec 2011

Publication series

NameProceedings - 3rd IEEE International Conference on Intelligent Networking and Collaborative Systems, INCoS 2011

Conference

Conference3rd IEEE International Conference on Intelligent Networking and CollaborativeSystems, INCoS 2011
Country/TerritoryJapan
CityFukuoka
Period30/11/112/12/11

Keywords

  • Collective intelligence
  • Computational resource management
  • Emerging technologies
  • European disasters
  • Integrated disaster management

Fingerprint

Dive into the research topics of 'A collective intelligence resource management dynamic approach for disaster management: A density survey of disasters occurrence'. Together they form a unique fingerprint.

Cite this