This session will engage participants with the Databox application environment as a key means of decentring personal data processing and circumventing dystopian futures. Instead of taking data to the cloud, Databox takes computing to the data through a unique app environment enabling local, privacy-preserving data processing that puts citizens in control. The session will enable participants to get their hands on the Databox application SDK and explore for themselves how novel apps leveraging personal data sources may be developed and shared. Participants will learn how to install and configure the Databox and App SDK, build drivers to leverage personal data sources, and create privacy-preserving apps that process personal data derived from multiple sources.
We encourage session participants with a GitHub account to download and install Docker (https://www.docker.com/community-edition) and a virtual version of the Databox (https://github.com/me-box) on their laptops before the session to save time and avoid potential bandwidth issues. The Databox app SDK can also be download and pre-installed and is available here https://sdk.iotdatabox.com. The SDK tutorial is available here https://tutorial.iotdatabox.com.
This is a Gallery session.
This is a Shed session.