Provides Ng was trained as an architect and a researcher. Her research concerns the emergence of digital tools and their impacts on architecture and urbanism. Her current research discusses how large-scale computation prompts to a preemptive urbanisma , where AI and Big Data are tools to simulate a parallel future that guides our design strategies. In her design work, she experiments with multimedia narrative as a communication technology, which expands the spectrum of architectural representation.
November 18, 2020 04:00 PM PT
The future is not urgent, it's already here, but our action is urgent: we've to collectively reconstruct our modes of working. Urbanism and ways we urbanise directly influence how we'll mitigate our climatic crisis by transforming our econometrics - from GDP to GD-CO2. With advancements of real-time media and AI, how can these technologies help us in distributing limited carbon budgets amongst different industries? This research tries to expand on carbon schemes beyond credits trading, to the sharing and redistribution of industrial work using real-time media - livestream - and AI personalisation algorithms, and discuss emerging sustainable business opportunities to come. In this pandemic, we're constantly engaging in a personalised livestream economy.
This gives urgency to study these low-cost ubiquitous technologies readily available to any individuals, and to structure them into an operable architecture that may help us in getting ready for the situations to come, which will demand an increase in our virtual-space capacities. The latent carbon capacities in every industry differs, we'll have to communicate interdisciplinarily to share the load of work. This research is one that proposes inter-industrial thinkings (eg. cross-stacking the economic structure of livestream with tourism). In considering our collective computing power and transportation
footprint as a whole, we may be able to achieve tradeoffs that exist beyond numbers, and stimulate the emergence of new supply chains that distribute our carbon payoffs as socio-ecological values within the system. There's no better time to direct attention to such ideas, as the discussion of virtual-space dependency and AI-augmentation would've been very different if not for this particular moment in time. For instance, we can now reframe our question, from 'how can we reduce tourism carbon emission using distributed real-time media?' to 'how can we sustain the tourism sector without putting our collective lives at risk using livestream and AI'?
Speaker: Provides Ng