Mimi Onuoha at Eyeo 2017
| How We Became Machine Readable |
What if the structure of information reveals more than the information itself? What if the most crucial aspect of a dataset is the moment before it becomes one? This talk is about the messy spaces between categorization and collection, as explored through a series of projects that aim to reveal the ways in which we are being and have always been abstracted, represented, classified, and forgotten.