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Using Geospatial Maps in Time of Disaster

VisionLink

Geospatial mapping is an increasingly hot topic in large-scale natural disasters, including Hurricane Sandy and the Oklahoma Tornadoes. As technology continues to advance, data mapping is moving from being a powerful tool for specific cases to being a new norm in all disaster relief. Sincerely, VisionLink'

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Hurricane Sandy Situational Map

VisionLink

Together, with the help of countless disaster relief initiatives, we will get back on our feet! It is creat ed using a simple mapping tool in CommunityOS, thus there is no data to transfer or convert and at no extra cost. Pictures of the damage - Powered by Crunched.'

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Citizen Tech: Social Media in Disaster Response

Amy Sample Ward

My contribution to the panel is to provide context about the use of social media in emergency and disaster response as well as an overview of some of the tools we saw deployed last year and we may see in the future. Whether it’s direct or indirect content, why do citizens turn to social media in moments of need or disaster?

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Crowdsourced data is not a substitute for real statistics

Beneblog: Technology Meets Society

However, we worry that crowdsourced data are not a good data source for doing statistics or finding patterns. An analysis team from European Commission's Joint Research Center analyzed the text messages gathered through Ushahidi together with data on damaged buildings collected by the World Bank and the UN from satellite images.

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Social Media Data Mapping

VisionLink

Assisting the American Red Cross, VisionLink''s Community Operating System is being used to deploy a real-time national map for this Winter Storm. The view includes FEMA boundaries, open disaster shelters, social media hash tags specific to the Winter Storm, and other relevant information. VisionLink is a formal partner of NVOAD.

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Issues with Crowdsourced Data Part 2

Beneblog: Technology Meets Society

We’re reacting to the following claim: “Data collected using unbounded crowdsourcing (non-representative sampling) largely in the form of SMS from the disaster affected population in Port-au-Prince can predict, with surprisingly high accuracy and statistical significance, the location and extent of structural damage post-earthquake.”

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More on Using Crowdsourced Data to Find Big Picture Patterns (Take 3)

Beneblog: Technology Meets Society

You're absolutely right that information quality comes from people and that data's fitness for a particular purpose is very contextual. The people who are in most need of information about humanitarian disasters are the organized responders. To continue in this direction, let’s look at how people use this information.

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