Bookmarked Friction-Free Racism — Real Life by Chris Gilliard (Real Life)
The end game of a surveillance society, from the perspective of those being watched, is to be subjected to whims of black-boxed code extended to the navigation of spaces, which are systematically stripped of important social and cultural clues. The personalized surveillance tech, meanwhile, will not make people less racist; it will make them more comfortable and protected in their racism.
Chris Gilliard unpacks the inherent racism encoded into the operations of the surveillance state. See for example Spotify’s recent announcement to add genealogy data to their algorithm. As a part of this investigation, Gilliard provides a number of questions to consider when thinking about such data.
Listened Ep. 106 Nora Bateson “Warm Data” from teamhuman.fm

Playing for Team Human today is systems thinker, writer, and filmmaker Nora Bateson. Nora will be telling us how to stop looking at things as objects and begin seeing the spaces and connections between

In a discussion with Douglas Rushkoff, Nora Bateson discusses the concept of ‘Warm Data’ and the interconnected nature of everything.

“Warm Data” is information about the interrelationships that integrate elements of a complex system. It has found the qualitative dynamics and offers another dimension of understanding to what is learned through quantitative data, (cold data).(source)

For Bateson, it is the relationships which bring the data alive.

This stems from the notion of ‘warm ideas’, as idea that leads you into another idea of relations. In this circumstance it is about going beyond departments and instead focusing on context.

The underlying premise of the IBI is to address and experiment with how we perceive. Our mandate is to look in other ways so that we might find other species of information and new patterns of connection not visible though current methodologies. We call this information “Warm Data”.(Mission Statement)

I was not exactly sure what this all looks like in practice, but did take away that it was about working together.

Liked Teacher learning, not student test results, should be a national priority for Australia by By Ian Hardy (EduResearch Matters)
Useful data can also include teachers’ notes about student academic progress more generally, their level of attentiveness in class, as well as about their well-being and social engagement with their peers, and other adults in the school. Seeking to work productively with a wide and deep array of data, beyond simply standardized measures, is the key to fostering substantive teacher learning for student learning.
Liked The mutating metric machinery of higher education (code acts in education)
HE is encompassed in the sprawling networks of actors and technologies of metric power. The data infrastructure of higher education is an accomplishment of a mobile policy network of sector agencies along with a whole host of other organizations and experts from the governmental, commercial and nonprofit sectors. A form of mobile, networked fast policy is propelling metrics across the sector, and increasingly prompting changes in organizational and individual behaviours that will transform the higher education sector to see and act upon itself as a market.
Replied to No Work …. till Next Year (Heart | Soul | Machine)
I’ve got enough time up my sleeve to actually go and do that thinking, to work out what I want to do next. I’m not sure about the university, or the sector as a whole. I don’t know what it is I should be doing and spending my time. But I’ve at least got an opportunity to go away and have a think about it.
Good luck with the start-up Tim. Sounds interesting, a data dashboard for farmers. How the world has changed.