Amy Sample Ward
FEBRUARY 18, 2010
I have a guest post up on the NTEN blog discussing some of the ways social media was put into action as soon as the earthquakes struck in Haiti: When disaster strikes, we want information as soon as possible and we want to help just as quickly. But the way we think about and turn to social media in a time of disaster is changing.
Amy Sample Ward
FEBRUARY 19, 2011
I’m joining a panel to talk about the response for support after the Haiti earthquakes last year. 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.
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NTEN
FEBRUARY 17, 2010
Amy Sample Ward, NetSquared. When disaster strikes, we want information as soon as possible and we want to help just as quickly. But the way we think about and turn to social media in a time of disaster is changing. Those not in Haiti can also use the application as it aggregates news and actions to take.
Beneblog: Technology Meets Society
MARCH 17, 2011
Guest Beneblog by Patrick Ball, Jeff Klingner, and Kristian Lum After the earthquake in Haiti, Ushahidi organized a centralized text messaging system to allow people to inform others about people trapped under damaged buildings and other humanitarian crises. The text message stream doesn't help the decision process.
NTEN
JANUARY 27, 2010
I want to provide some updated findings for the entire year, as well as discuss the importance of online donations to support the Haiti earthquake relief efforts. This represented 77% of the organizations in the sample analysis. Haiti Earthquake and Online Giving. That is typically the heaviest period of the entire year.
NTEN
JANUARY 27, 2010
I want to provide some updated findings for the entire year, as well as discuss the importance of online donations to support the Haiti earthquake relief efforts. This represented 77% of the organizations in the sample analysis. Haiti Earthquake and Online Giving. That is typically the heaviest period of the entire year.
Beneblog: Technology Meets Society
MARCH 28, 2011
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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