Kwan Q Li
Kwan Q Li is a Hong Kong interdisciplinary artist, weedist, occupational realist, and more. Coalesced with performance and writing, her research-based practice explores post-colonial intricacies and ideological alternatives within the neoliberal context. Former exhibitions include performances and lectures at the Ashmolean Museum, the AI & Society Journal conference, and IdeasCity residency. Queenie is from the ACT Class of 2022 at MIT.
Weeding Data Space
As an ongoing investigation which unpacks the dehumanization conspiracy of growing data domination, this spatial research will leverage on the turmoiled case of Hong Kong, as a highly idiosyncratic context, to illustrate how the unheeded culmination of data centers has been silently engulfing urban space. Stemmed from an extensive thesis of typological analysis and speculative writing, the talk attempts to hypothesize on antagonistic potentials through the lens of performative theories, edge computing, and more. Especially in the age of pandemic in which our lifestyles are increasingly digitized, discussion on our incessant migration to the virtual realm and the emergence of city relics is unprecedented and timely. The presenters hope to raise awareness of this transformation of urbanism rapidly driven by burgeoning data consumption, and to invite imagination on alternative futures.