Inner life: centering + decentering

My inner life experience of both centering and decentering power… also noting outer world references in orbit.
Pencil drawing on paper, then colour inverted in Photoshop (July 2020).

Pushing myself to write more whilst the moment is here, but writing honestly and meaningfully requires getting through a lot of barriers and it feels like there is a lot of inner resistance right now. Resistance or just tiredness..? So hard to say… but at this stage, just trying to keep things moving, putting one word in front of another. Following on from my last post about Decentering Power, I wanted to share this drawing of my own experience of decentering dynamics (particularly given my recent experience of double caring during lockdown). With the outer world references in orbit.

Inner life: centering + decentering

Decentering Power, Whiteness, Knowledge, Ableism, Class, Gender, ETC.

Based on Baran’s visualisation of Decentralized, Distributed and Centralized networks (1964, p. 2)

I’m doing some research and creative thinking about how we reconfigure power, for real. In a way that really transforms lives, experiences and relationships. Using visual and sensory devices to keep with the material experience and achievement of change. One strategy is to think through the sticky points and divergences between two transformative projects challenging the centre and the centralised: the Tecnopolitica body of work; and a set of decentering power projects with a strong focus on decentering knowledge and whiteness.

Decentering Power, Whiteness, Knowledge, Ableism, Class, Gender, ETC.

Learning Gephi from Zero #4: conceptual networks in Gephi and Arc diagrams

Gephi conceptual network by Pablo Aragon

I have some relatively advanced work on a “universe” of concepts around Collective Intelligence. Many very different politics surface in a collective intelligence space, from a Brexity “Will of the People” to Zapatista inspired swarming strategies. Mapping out these concepts has many uses, and potentially it help us navigate the kind of “cognitive slippage” between left and right popular approaches. For any map to be accessible and actually usable for a wide range of people, it needs to be attractive, intuitive and easy to use. Data visualisation techniques seem key here, which leads us to Gephi, and also “Arc Diagram” code which I found through the brilliant Dictionary of the Revolution project.

Learning Gephi from Zero #4: conceptual networks in Gephi and Arc diagrams