Project #10 Translation Device
Description
74 - Bloody November
Design Process
This work compares two datasets that document the number of the people who were killed in the 2019-20 Iranian protests (also known as Bloody November) following the government’s announcement about the significant overnight rise in the price of fuel. The project reveals the voided - missing information from what the Iranian Government has announced about the number of dead people (230) to what is documented by Amnesty International and the details of 304 bodies as having been killed by Iran's security forces. To find the answer of the "who" questions that data femenism asks (lecture 12.1 - Catherine D'lgnazio) and to look at the data feminism as a political action, I started to collect the data of those 304 bodies from the report by Amnesty International (https://www.amnesty.org/en/documents/mde13/2308/2020/en/) and also made the .JSON file from the .Pdf format. Compare it to the data from the Iranian Government, you can easily find out that their data does not follow the ethos of feminist data pronciples such as examining power to understand who benefits and who is silenced by data.
To use an existing public API that hosts JSON datasets on the web, I have represented a geolocation-based map to visual the data using Mappa.js. Which it allows to overlay a canvas on top of a tile map. So the map shows the locations where those people died, and different colors represent death numbers by province.
Reflection
Retrieving a map as a form of data from Mappa.js server and bringing it into my code was quite challenging that made me go through some tutorials to make it work. Example of that is how I can have a function zoom on the map. In my code, I have also used creatSelect event to be able to see different provinces by simply clicking on that. This assignment has also helped me to get a better understanding of how the internet and how telecommunication applications are structured (OSI 7 Layer Model).