ABOUT THE PROJECT
Using their computers and phones, 28,600 Decoders contributed more than 9,000 hours to map remote and vulnerable villages in Darfur
In 2016, Amnesty International published credible evidence that countless villages in Darfur have been attacked by the Sudanese government and its allied militias. People have been shot while fleeing, raped, and even targeted with chemical weapons.
Decode Darfur was a project launched in October 2016 that asked volunteers to identify and map over 326,000 square kilometers of satellite images to identify more of these remote and vulnerable villages.
As a results, we 326,000 square kilometers of satellite imagery in Darfur. These findings provide the basis for our next project, Decode the Difference, where we’re asking our Decoders to compare two images of the same area to look for evidence of attacks, by helping us identify significant change in buildings and structures over time.
Help us show the international community that it has ignored Darfur for too long.
- Project results
MOST DECODERS CAME FROM SWEDEN AND THE NETHERLANDS
THAT’S LIKE ENOUGH PEOPLE WORKING TOGETHER TO FILL 5 ROYAL ALBERT HALLS
THAT’S AN AVERAGE OF 16.5 TASKS EVERY MINUTE OVER 7 WEEKS
Decode Darfur was the second project for the Amnesty Decoders - a global network of digital volunteers for human rights research. Already there are more than 30,000 volunteers from more than 150 countries.
This project was developed in collaboration with Open Data Kosovo, Focal Labs and The Engine Room, with financial support from the Swedish Postcode Lottery. Powered by PyBossa, an open source crowdsourcing framework to analyse data that can't be processed by machines alone.
Amnesty International would like to thank all the volunteers who have helped so far with this project. We’d also like to say a very special thank you to those volunteers who helped out as moderators on the discussion forum. We couldn't have done it without you.
In particular we'd like to thank SBE, voz, Walter, JoostV, Dekker, yvesprigent, Sietse, hanny123, ellen-2016, anon2034, SarahN, Birdseye, Geromy, Max_B, Akkie, Ingewiel, Aiud, mohamedahmed, and many others who decoded hundreds of thousands of square kilometers of satellite images, and who participated in hundreds of conversations.