The politics, boundaries, and control systems built into spatial technologies are computationally designed to be invisible and are very difficult to exit. Approaching spatial computing critically might thus help us understand where and how things, people, animals, plants, and movements are tied to these bigger, less visible systems—ones that are perhaps not “seen” on the map but are guided by it.

Spatial Computing is a collaboration with the M.S. in Computational Design Practices Program (MSCDP) at the Graduate School of Architecture, Planning, and Preservation (GSAPP) at Columbia University.

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8 essays
Tega Brain and Sam Lavigne
The goal is fungibility—to assert equivalence between activities by people or environments so that emissions created over here can be traded and (theoretically) compensated for by actions removing or reducing carbon over there. The means is, of course, commodification. Offsets privatize planetary metabolism.
But no matter how we choose to do it, internet measurement—like all data-centric disciplines—inevitably bumps into questions: what are we trying to measure? What does it mean for the internet to be working the way we want it to? And who is we?
Dare Brawley
The recognition that investment firms—not “irresponsible” individual home buyers—increased the severity of the crash marks a significant departure from prevailing public narratives about this period. Yet the policy response in the United States since the crisis has largely been to double down on promoting profit-driven investment in housing.
I learned about the mass grave in 2018. It is located about five minutes by car from the Texas house I grew up in. I had driven past it every morning on my way to school, in the last dark hour before the sun took to stage.
Since the 1970s, punitive blocklisting technology has amalgamated various data sets, including eviction records, criminal records, credit rating data, and more, which can then be packaged and sold as recommendations to landlords on whether someone will be a “good” or “bad tenant.”
So much depends on our ability to forecast the weather—and, when catastrophe strikes, on our ability to respond quickly. An architecture of forecasting is crucial for providing accurate and timely weather information and collecting essential weather and climate data.
Laura Kurgan, Adam Vosburgh, and e-flux Architecture
Spatial Computing is a collaboration between e-flux Architecture and the M.S. in Computational Design Practices Program (MSCDP) at the Graduate School of Architecture, Planning, and Preservation (GSAPP) at Columbia University, featuring contributions by Dare Brawley, Catherine Griffiths, Laura Kurgan, Sam Lavigne and Tega Brain, Erin McElroy, Lai Yi Ohlsen, Mimi Ọnụọha, and Lucia Rebolino.
Category
Urbanism, Data & Information, Technology, Design
Subject
Architecture, Infrastructure, Maps

Spatial Computing is a collaboration with the M.S. in Computational Design Practices Program (MSCDP) at the Graduate School of Architecture, Planning, and Preservation (GSAPP) at Columbia University.

Contributors