Data Dissemination to the Government of Haiti
February 5th, 2010by andrew
Historically, these tools have been useful for the public and media to cover an event - but the question often arose if they were beneficial to responders and citizens on the ground. It's been clear that tools such as OpenStreetMap have had a clear and positive impact on the response and recovery efforts. Organizations from the World Bank, to MapAction, to the Fairfax Search and Rescue teams have all been using OSM as a primary means of maps and routing. OSM volunteers have even been performing rough damage assessement and IDP camp identification.
While these tools have been useful for responders, there was still a disconnect on the availability of this data to the Haitian Government to access and assess the situations. The best data previously available before the earthquake is primarily from 2002, and at the same time most ministries are either non-existent or severely understaffed.
Bringing the Commons
In response, at CrisisCamp DC on Saturday the World Bank initiated an effort to provide the massive amounts of data and tools directly to the government. The goal was to provide a browser, like the Haiti Crisis Map with the imagery and OpenStreetMap roads, data gathering and visualization tools like GeoCommons, public and quality checked sources of Hospital locations, camps, and damage assessment, and the World Bank's own flyover imagery on portable hard drives and onto the desk of the Haitian ministers.A major hurdle, however, was that there were no local copies of the raw imagery data. Thanks to the incredibly hard work of a number of organizations, especially Georgetown, SDSU and Internet2, we were able to move the 1.25 TB of raw data from the Hypercube server in San Diego to Georgetown's servers here in DC in a little over a day. These were loaded onto a series of 6 USB, self-powered hard drives. We chose the self-powered drives so it didn't depend on external plugs or fluctuating power sources.
In addition, we built an offline version of the Haiti Browser that can run by double-clicking an HTML file to run in a browser off of a hard drive or USB stick. You can get the code from here to see how it's done. We also included Delta State's MGRS Atlases for printing map books, and the GPS map images that can be used on Garmin handheld units.
There will also be several engineers deploying with the World Bank to assist in the dissemination of the data, working with the Haitian Ministries and President on using these tools and handling requests for more analysis and data with CNIGS (Centre National de l’Information Géo-Spatiale), Haiti's GIS department.
Enabling Self-Sufficient Government
The goal is to provide the Haitian government with their own capability of using the available tools for situational awareness and decision making. Beyond the immediate response and recovery efforts they are now enabled to utilize these tools for long-term reconstruction and infrastructure. The capabilities and tools should be sustainable and the goal is to close the data loop within the government as well as between external data collection and Haitian data needs and collection. We are moving beyond the traditional problems of leaving disasters without their own data or ability to be independent of the temporary organizations. The entire project is a model of how crowd-sourced data and tool development can have a beneficial impact both on remote support as well as directly to local citizens and government.
In the US and Europe, we're seeing a growing embrace of Open Government and transparency sharing data to citizens for engagement and collaboration. In Haiti, the community is performing a reverse-Gov2.0 - they're providing data and information to the government to respond, and rebuild their society.
A tremendous thank you to the numerous individuals and groups that helped and provided tools or data: World Bank, San Diego State University / Calit2, Internet2, Georgetown University, DigitalGlobe, Delta State University, Sahaha, Crisis Mappers, OpenStreetMap, NOAA, Ushahidi, DevelopmentSeed, TelaScience, STAR-TIDES, CrisisCommons, USAID, GeoCommons, OpenSGI, GeoEye.
Popularity: 2% [?]
Are We Creating an App Junkyard? How to Incubate and Sustain Innovation
February 5th, 2010by Sean Gorman
Popularity: 3% [?]
Dataset of the Day: Mapping the State of the Union
February 4th, 2010by Emily Sciarillo
Last week President Obama presented the Congress and the American people with his examination of the state of the union after his first year in office. He outlined his achievements as well as some of his failures in the past year and presented his plans for the future. We thought we would make maps highlighting some of his major points in the speech. Some maps we made with datasets that are regularly updated in Finder! such as unemployment. For others we created new datasets and uploaded them into the database.
Recognizing that the economy is the one issue foremost in American’s minds, he focused much of his speech on the subject. Job creation and small business growth were major factors in his plan for improving the economy, citing the Stimulus Package as the engine for both.
The first map shows how the unemployment has changed in the past year. The green counties show areas where unemployment rates decreased since last November and the purple counties show areas with increasing unemployment.
![]() | ||||||||||||||
It is no surprise that most areas of the US have seen their unemployment rates continue to increase but to put that into perspective, it is helpful look at the same scale for the 12 months change during the last year of the Bush administration (the next map). During Bush’s last year the unemployment also rose in much of the country however it appears that during Obama’s first year, more counties increased dramatically (by 4% or more) and less counties improved their unemployment rates at all.
|
Popularity: 3% [?]
Get to Know a Geocommons Feature - CSV Download
January 28th, 2010by margot
Upload your own shapefiles and see what you can come up with using our easy download options.
Below are step by step screenshots of this simple process. Enjoy!

Popularity: 5% [?]




















