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Geospatial Intelligence and Visual Analytics

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The Geospatial Intelligence and Visual Analytics working group is focused on advances in geospatial intelligence and visual analytics.

The mission of the Geospatial Intelligence and Visual Analytics working group is to focus on how advances in geospatial intelligence and visual analytics are shaping how intelligent social networks collectively address risk, vulnerability, and resilience.

Members

bevcorwin Craig Vanderwagen drvroeg efrost Eric Kutner George Bressler
Jeff Kutner Kathy Gilbeaux Katie Rast Laurie Van Leuven Maeryn Obley mdmcdonald
Michael Gresalfi

Email address for group

geospatial-intelligence-and-visual-analytics@m.resiliencesystem.org

NPS - (RELIEF) Research & Experimentation for Local & International Emergency & First-Responders

submitted by Michael Gresalfi / Sam Bendett

      

Next Event: RELIEF 12-2, 29 FEBRUARY - 2 MARCH, 2012 at Camp Roberts, Paso Robles, CA. 

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RELIEF provides an environment that fuses interactive community building and knowledge sharing activities with concept-based socio-technological experimentation.

Since 2009, RELIEF has brought humanitarian practitioners, technology developers, federal civilians, and active duty military personnel together for hands-on collaboration. The multi-institutional field setting provides a semi-structured learning environment promoting collaboration and relationship building across an increasingly diverse response network.

The event utilizes different methods of interaction, all of which focus on end user input on disaster response operations. The field environment also provides the opportunity to explore new solutions for crisis responders through hands on interaction and experimentation. 

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Pathfinder - Geospatial Intelligence Supports Community and National Resilience

submitted by Karen Walker

In the past two years, NGA has responded to a series of natural disasters at home and abroad. Whether providing support to emergency response teams working the aftermath of the earthquake in Haiti, the tsunami in Japan or tornadoes and floods in the United States, NGA employees worldwide have demonstrated the critical role of geospatial intelligence (GEOINT) in answering the call for help.

Our humanitarian assistance/disaster response work, among all the roles and responsibilities that come with managing the nation’s GEOINT capabilities, brings us closest to the people and communities in need during times of crisis. Our GEOINT tools and analyses save lives by helping our mission partners determine where help is needed most, by enabling the right people to be at the right place at the right time, and by anticipating what might happen next.

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Crowdsourcing Democracy Through Social Media

submitted by Tim Siftar

Georgia Tech

ATLANTA – Oct. 11, 2011 – Today the citizens of Liberia will participate in just their second presidential election since the country emerged from a brutal civil war in 2003, and in such an environment the specter of violence or other unrest is never far away. But what if social media, a Georgia Tech professor is asking, could identify and even help prevent dangerous situations from occurring?

When nearly 40 million Nigerians took to the polls last April to elect a new president, many of them went online to share comments about their chosen candidates on blogs, Twitter or other social media platforms. They also used these new media tools to report what they saw. “Listening” to much of it was Georgia Tech Associate Professor Michael Best, which just might have saved a few lives.

During the election, Best provided technical support for a Nigerian group that wanted to use social media as a means for tracking the election process and identifying any problems that cropped up. Best and his team of researchers designed a social media aggregator tool that could pull content from about 20 different sources (including Twitter) and analyze the data in real time using keywords.

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Software Uses Twitter To Track Dengue Outbreaks In Brazil

submitted by Mary Suzanne Kivlighan

Kaiser Family Foundation - July 19, 2011

The New Scientist reports on a software program that is being used "to identify a high correlation between the time and place where people tweet they have dengue and the official statistics for where the disease appears each season."

Researchers at two Brazilian National Institutes of Science and Technology worked together to create the software, which filters tweets containing the word "dengue" and user location details. "Dengue outbreaks occur every year in Brazil, but exactly where varies every season. It can take weeks for medical notifications to be centrally analyzed, creating a headache for health authorities planning where to concentrate resources," the publication notes. Using Twitter could speed up response time, according to Wagner Meira, a computer scientist at the Federal University of Minus Gerais who led the study (Corbyn, 7/18).

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