Inspired by the work of Jörg Blumtritt, Benedikt Köhler, Sabria David on their Slow Media Manifesto (2010) and also the concept of Calm Technology by Mark Weiser and John Seely Brown (1996), we are exploring the concept of slow data. For many of us, in this fast-paced, energy-consuming, technologically-driven world, slow data connections can be a huge annoyance. For us, we see it as an opportunity to go back to the Marconi telecommunication roots whilst also a way to do good by our environments. In her book “Slow Media: Why Slow is Satisfying, Sustainable & Smart” Rauch (2018) shares a model of sustainable media that is slow, green, and mindful. She talks about the true effects of data usage and technology on the environment and the benefits of slow media.
In terms of our data physicalisation, we are predominantly looking at the use of batch processing of data as opposed to real time processing. Batch data processing is a more efficient way of processing large volumes of data. It is where a group of transactions are collected over a period of time and then all processed together. Real time data processing, on the other hand, involves a continual input, process and output of data.