Sketchbook: Teaching and drawing Urban Sensing

Urban Sensing

Last year I helped teach a course around 'The Street As Platform' idea on the University of Technology, Sydney Master of Digital Architecture course, working with Anthony Burke, Mitchell Whitelaw and Jason McDermott. I mentioned it at the time, and will post up some of the outcomes at some point.

This year, I'm helping teach a course called 'Urban Sensing' at the University of Sydney, as part of their graduate program in Interaction Design and Electronics Arts, working with Andrew vande Moere (of Information Aesthetics fame), Elmar Trefz and Gabriel Ulacco. It's in broadly similar areas to 'Street As…', concerning urban informatics, sensors, visualisation and architectural interventions driven by such things. It's longer in duration though, and this one includes fabrication of what Andrew's currently calling 'contraptions', via CNC machining etc.

We're doing various things, but last week I tried a technique with them that I've often used myself. Writing on photographs of an average street scene, we asked students to imagine all the data that could be derived from the scene via sensors (in the broadest sense of the word), and then go on to sketch interventions or hacks into those scenes, drawn from such data sources.

Urban Sensing

Urban Sensing

I often produce photomontages in my work at Arup, in order to show how the city might be transformed by informatics in some way. These are a form of rendering, in the architectural sense, and yet also an old technique of course. Yet by overlaying onto the actual and everyday, it is possible to connect a future of some kind to today's reality. This is something that clients often struggle with otherwise, given the often-invisible nature of data-driven interventions and the relatively advanced technology at work.

Urban Sensing

Urban Sensing

Obviously, such an approach tend to focus on the technological possibilities – the data, the architecture – rather than the social and cultural context, systems and patterns at play here – it's not as easy to draw those, though diagrams would be possible.

Anyway, the students went at the first part of the exercise with gusto, imagining a rich diversity of data emanating from the photos (I'd just selected 30 or 40 shots of various streets scenes, some dense and urban, some suburban, some chock full of infrastructure, some apparently not, and drawn from LA, Geneva, London, Sydney, Melbourne, Canberra etc.)

Urban Sensing

Urban Sensing

It's somewhat worrying how easily students moved into Orwellian mode, but I think they were aware that, say, a hidden infrastructure weighing everyone on the street and generating their BMI whilst x-raying their handbags and profiling their facial characteristics might have some issues associated with it. We talked about it, at least.

Urban Sensing

Urban Sensing

Urban Sensing

Urban Sensing

It was more difficult – as ever – to generate meaningful interventions in these environments. Some seemed initially interesting, but quickly failed the 'so what?' test. Yet some great ideas emerged from all corners nonetheless. Street furniture that collected rainwater, sprouted stalks to tie your dog to while you go into a shop, and offered the dog filtered rainwater to drink whilst using the remainder to clean the pavement after the dog has left (again, easier to summarise in sketch than in words, clearly). The gigantic casino in Melbourne was seen as a particularly interesting 'data generator'. Real-time transit information that is projected only when someone stands at a tram-stop (avoiding the 'data projected in the forest with no-one there to witness it using unnecessary power' problem). Several health-monitors for neighbourhood trees. Various solutions for conveying parking amenities. Numerous variations on real-time transit data. A building that progressively cloaks or reveals itself depending on how ugly passers-by judge it. Road barriers as actuators, sliding around in response to traffic flow, a little scarily. A display that indicated which ATM is 'winning' based on daily activity (with a modification that would indicate when you're standing behind an ATM user that is typically slow.) And so on and so on.

Urban Sensing

Urban Sensing

Urban Sensing

Urban Sensing

Urban Sensing

The drawing activity works well, but I'd also like to test the students with narrative construction at some point, getting them to write – along the lines of the original 'street as platform' piece, perhaps. These alternative fictions are another way of portraying possible futures, eliciting opportunities and issues as well as developing persuasion skills. Experience suggests, however, that writing will prove more challenging than drawing – experience, that is, of professional architects and designers, many of whom can barely write at all, sadly (the honourable exceptions almost make up for it.) Writing is as important as drawing in practice, and can be just as exploratory, experimental and convincing when done well. It feels to me that it should be developed as a technique within a well-tempered design education.

Urban Sensing

Urban Sensing

I'm interested in all such techniques, somewhat in the spirit of 'critical design' (after Dunne & Raby), and would love to hear about other patterns and plays.

Last year I helped teach a course around 'The Street As Platform' idea on the University of Technology, Sydney Master of Digital Architecture course, working with Anthony Burke, Mitchell Whitelaw and Jason McDermott. I mentioned it at the time, and will post up some of the outcomes at some point. This year, I'm helping teach…

6 responses to “Sketchbook: Teaching and drawing Urban Sensing”

  1. Lovely lightweight techniques, I’m sure the students got a lot out of it.

    Like

  2. But I’m also concerned by the ideas that emerged. They seem lightweight, lacking in cultural resonance or substantial problem-solving. Do you think more concrete concepts would have emerged if the workshop was given more constraints: looking at entertainment, energy or local politics for example?

    Like

  3. Great point Timo. The difference between part one and part two was indeed marked. The open nature of the exercise certainly worked for the first part, in terms of imagining possible datasets. Data was derived from everything, from loan sharks in the casino to actual sharks in Port Philip Bay. But the same openness probably worked against the second part. Applying some constraints would probably have been beneficial. Though to be fair, they only had less than an hour for the second part too. Ta for the feedback, mate.

    Like

  4. Really good stuff Dan!
    I’ll echo Timo’s points, and say that constraints always help focus my students in more critical or context/situation specific ways.
    In terms of narrative and fictions, I absolutely agree that writing should be cultivated as part of the design toolkit. Last year I got students to write graphic narratives based on particular technological futures, which allowed them to draw and write stories. (To help them practice we spent time on exercises from Lynda Barry’s awesome book What It Is.) Some were comics-based and others were video-based; I let them choose any graphical form they wanted (to take advantage of existing strengths) while giving them narrative/scenario constraints (to cultivate new skills).

    Like

  5. I hope the students will also offer reasons for the suggestions, and support the reasoning with existing practices. While the idea, of course, is to brainstorm for improvement, one have to wonder if the changes are practical.
    Nicolette
    http://www.furnitureanddesignideas.com/

    Like

  6. You might want to look at one of my favorites, Giulio Iacucci’s work with props and performance in the city: On the Move with a Magic Thing.
    Also, it strikes me that the kinds of ideas you got in that hour are, as you said, understandably quick takes. I think those quick takes are good pointers to what usually happens in doing design-by-photograph. Which is to say, your students imaginatively worked through what they understood about cities to surface many underlying infrastructures (water, power, transport, etc). But at the same time working from their own perspective makes it easy to fall into what’s been called “the lie of the land” — the stories we intuitively “read” off visual images. As you know, it’s hard to see history, contractual obligations, land-use politics, etc from photographs without a lot of background knowledge. In reading images, we often confirm what we already think we know. My suggestion is not writing but reading: to supplement the images with narratives that might challenge the stories we see in the photos. Two of my favorites for this kind of imaginative alienation are Roissy Express, by François Maspero and Anaïk Frantz (about Paris) and DJ Waldie’s Holy Land (about Los Angeles). I could also imagine starting this exercise not with photos but with documentary video.

    Like

Leave a comment

City of Sound.
Written by Dan Hill since 2001.

More at Medium.

⏬

Designed with WordPress