3 | | == INTRODUCTION == |
| 3 | == Introduction == |
| 4 | |
| 5 | * Receive tweets and / or SMS messages from the public. |
| 6 | * Dispatch these to online workers to classify and geocode. |
| 7 | * Display on a map. |
| 8 | |
| 9 | === Background === |
| 10 | During the Haiti earthquake of Jan 2010, people trapped in buildings sent SMS messages to a designated shortcode. |
| 11 | These were classified, translated, and geocoded by online workers using [https://www.mturk.com Amazon's Mechanical Turk], |
| 12 | then provided to emergency managers. |
| 13 | |
| 14 | During the Kenya 2013 general election, citizens and trained election monitors reported election-related incidents |
| 15 | via SMS and twitter. These were automatically entered into a map database, then vetted by online workers to remove |
| 16 | spam and contact the sender for clarification, before making the information public. See: https://uchaguzi.co.ke/ |
| 17 | |
| 18 | During a Random Hacks of Kindness hackathon in 2010, a variant of this project was implemented using a Sahana Eden |
| 19 | as the back end and a custom web page (not automatically generated by Eden) as the front end. This was designed as |
| 20 | a training game -- workers got "experience points" and were awarded badges. |
| 21 | |
| 22 | == Project breakdown == |
| 23 | |
| 24 | This project is intended to be easy to subdivide into tasks that can be worked on somewhat independently and in parallel, |
| 25 | given the choice of a few naming conventions for new database tables and fields. |