Dear all,
We are welcoming proposals for our open panel at 4S Sydney, 29 August -
1 September 2018
*Data worldings: post/colonial connectedness* (#87)
Data infrastructures have taken centre stage in many of the strands
which comprise the environmental, bio- and geosciences: from
biodiversity assessments and conservation efforts to environmental
monitoring and the development of “urban biomes”. Data infrastructures
are producing unprecedented amounts of data and figures, advancing a
primarily data-based understanding of worlds and compelling the coming
together of different rationalities, imaginaries, economies and agencies
in the pursuit of ever more integration across and connection between data.
Having worked in the context of the biological and ecological sciences,
their infrastructures and institutions, we observe that these
rationalities, imaginaries, economies and agencies are deeply enmeshed
with historical yet enduring imperial relations. Indeed, we would
suggest that current desires to apprehend a totalised world at all
scales—including bio- and atmo-spheres, cosmos, inner spaces and outer
surfaces of bodies—exclusively through data need to be understood as
constituted in and through colonial relations and their shifting
material realities. STS-inflected scholarship on data and data
infrastructures has provided useful insights into making, sharing and
mobilisation of data as efforts to govern the furthermost reaches of the
“natural empire” (Bowker 2000) and into their participation in
racialising asymmetries. With this panel we wish to further problematize
emergent data worldings drawing on postcolonial critiques of the
“universal” and “global” to examine how data worldings are contingent on
and enact specific colonial relations. We also want to explore how
attending to data worldings can help us understand the ongoing unfolding
and transformation of neo-colonial logics and practices.
You can submit here https://4s2018sydney.org/accepted-open-panels-4s/.
The call for papers closes on *1st February, 2018*.
Tahani Nadim (Humboldt University and Natural History Museum Berlin) &
Antonia Walford (University College London and Centre for Social Data
Science, University of Copenhagen)
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