Conference session

Relearning Data as Pedagogical Kin: A Creation-Centred Praxis for Transformative Methodological Futurities

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Stream
Legitimacy at the edge
Language
English
Speaker(s)
Patrick Phillips, University of Ottawa
Session format
Poster
Session Location
Salon 15/16

I offer my creation-centred, cross-sector collaborative, ethically sustainable praxis for truly transformative research and pedagogical futurities, inspired by my award-winning and presently award-nominated completed doctoral and ongoing post-doctoral research on reconceptualizing and re-humanizing data in education. I suggest insights into transforming the ecology of research and dissemination, from how we: perceive what counts as data; en/treat data; through to re/presenting such data in knowledge dissemination and pedagogical spaces. I argue that conventional research paradigms often invisibilize crucial relational data—that is, the animate, human and (equally as worthy) more-than-human relationships that constitute our existence. I challenge researchers and all stakeholders to 'relearn data as pedagogical kin,' via an approach I term inspiriting, which reorients research towards a ecological ethical+kinship relational understanding of data. I introduce how material, creation-based methodologies might facilitate this reorientation, offering a tangible framework for the futurities of data. The session will be of interest to researchers and educators concerned with ethical responsibilities of those who create, deploy, and learn through research and data in our present moment and in any context that purports to seek transformation. While I feature tangible examples from a collaboration I have recently completed and exhibited in which I, through collaboration with Indigenous artists and scholars, re-materialized the highly relationally complex data of Truth and Reconciliation teacher education, my session as a whole will be relevant to anyone seeking physically (as in embodied space) and spirutually (a missing dimension of decolonial work, I argue) immersive data/archival environment of non-reductive, non-extractive, and decolonial knowing.