Half-way through reading this, following years of work in libre technology which culminated in a recent research stint in information ethics and child computer inter-action research in educational settings, I think I’m ready to skip out on this nightmare, invest in a tech-free livelihood, and hope that things will straighten themselves out with no further effort on my part: Davis JL, Williams A, Yang MW. Algorithmic reparation. Big Data & Society. July 2021.
On an optimistic note:
Published by nee
I sought meaning in academic research about conflict transformation in relation to art and media history, and efforts for recovering the commons (PhD Cultural Studies with the London Consortium). I worked and taught with a number of universities, art-centers and internationally funded programs with increasing focus on free and open source technology, until a child reactivated my connection with a circle of heart-giving art educators in Brasil and helped me see what the Situationists' meant with their rejection of alienated labour. My child and I started mapping out and learning from the bravest and most meaningful art-educational initiatives around the world, and we've been focusing on holding space and community for free play, towards what Silvia Federici describes as a re-enchantment. Through my own learning path (including on-going training in Waldorf and Forest school teacher training, What Future for Education, London Institute of Education 2019; Hand in Hand Professional’s Intensive 2020) I have come to see learning as a state of being that is meaningfully embedded and present in its social setting, prioritising applied responses to local and community needs, and contributing to each other’s creative, practical, scientific, emotional and other developmental processes through a recognition of the abundant nature of the necessary resources, materials, information, peer-to-peer learning, and tools. | neeii.info View all posts by nee