The Wisdom of Crowds
Crowdsourcing user studies with Mechanical Turk
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Programming collective intelligence
Programming collective intelligence
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving communication for mobile devices in disaster response
MobileResponse'07 Proceedings of the 1st international conference on Mobile information technology for emergency response
Extending the fire dispatch system into the mobile domain
MobileResponse'07 Proceedings of the 1st international conference on Mobile information technology for emergency response
Encyclopedia of Decision Making and Decision Support Technologies
Encyclopedia of Decision Making and Decision Support Technologies
VGI as a dynamically updating data source in location-based services in urban environments
Proceedings of the 2nd international workshop on Ubiquitous crowdsouring
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When large groups work on a theme, they have the potential to produce a lot of useful knowledge, regardless of whether they are acting in a coordinated manner or individually. Spontaneously generated information has received much attention in recent years, as organizations and businesses discover the power of crowds. New technologies, such as blogs, Twitter, wikis, photo sharing, collaborative tagging and social networking sites, enable the creation and dissemination of content in a relatively simple way. As a result, the aggregate body of knowledge is growing at an accelerated rate. Many organizations are looking for ways to harness this power, which is being called collective intelligence. Research has shown that it is possible to obtain high quality results from collectively produced work. In this paper, we consider the domain of emergency response. Research has shown that individuals respond quickly and massively to emergencies, and that they try to help with the situation. Thus, it seems like a logical step to attempt to harness collective knowledge for emergency management. Disaster relief groups and field command frequently suffer from lack of up to date information, which may be critical in a rapidly evolving situation. Some of this information could be generated by the crowd at large, enabling more effective response to the situation. In this paper, we discuss the possibilities for the introduction of collective knowledge in disaster relief and present architecture and examples of how this could be accomplished.