On April 16th, the coast of Ecuador was struck with a 7.8-magnitude earthquake (about 100 miles from the capital of Quito.) Digital communities including the Standby Task Force (SBTF) and Humanitarian OpenStreetMap Team began preparations to connect with citizens and humanitarians to inquire about information needs. Qatar Computing Research Institute started a twitter data collection about 1 hour after the emergency. We prepared for any possible activations by our partners (UN OCHA or SBTF).
After discussions with the SBTF, who self-activated for the Ecuador response, we decided to do a small activation with SBTF volunteers including their Spanish speaking volunteers. Between April 19 – 21, 2016, a team of 58 volunteers reviewed curated text and images. The results were then shared with the Ayuda initiative who were using an Ushahidi crowdmap to aggregate reports. The Ayuda team was overwhelmed with work and the QCRI/SBTF data contribution may have had a small impact. Establishing information workflows across digital teams during emergencies is an ongoing effort.
In this map you can see where the community tagged mild and severe damage as well as infrastructure damage, response needs and urgent needs. The map you see below is a new tool that QCRI is working on to display data from various emergencies.
About the Data
We often share data for the MicroMappers responses. Today we are happy to show you our data dashboard to show how the machine trained and human computing tagged data works. In future blog posts, we’ll explain how this works in more detail.
For this mini-activation, we launched the text and image clickers. The Text Clicker had 889 tweets presented with a total 2285 human tags generated. The Image Clicker had 5126 images presented with a total 7180 human tags generated.
We used this small deployment to refine our processes and test some new software functionality. While the whole MicroMappers community was not launched for this activation, we do expect to have the lessons improve your experiences for future deployments.
Thanks again to the SBTF team for the collaboration.