Thought I’d post a quick update on my PhD. Since my previous post almost five months have passed. I’ve been developing my plan further, for which you’ll find an updated description below. I’ve also put together my very first conference paper, co-authored with my supervisor Gerd Kortuem. It’s a case study of the MX3D smart bridge for Designing Interactive Systems 2019. We’ll see if it gets accepted. But in any case, writing something has been hugely educational. And once I finally figured out what the hell I was doing, it was sort of fun as well. Still kind of a trip to be paid to do this kind of work. Looking ahead, I am setting goals for this year and the nearer term as well. It’s all very rough still but it will likely involve research through design as a method and maybe object oriented ontology as a theory. All of which will serve to operationalise and evaluate the usefulness of the “contestability” concept in the context of smart city infrastructure. To be continued—and I welcome all your thoughts!
Designing Smart City Infrastructure for Contestability
The use of information technology in cities increasingly subjects citizens to automated data collection, algorithmic decision making and remote control of physical space. Citizens tend to find these systems and their outcomes hard to understand and predict [1]. Moreover, the opacity of smart urban systems precludes full citizenship and obstructs people’s ‘right to the city’ [2].
A commonly proposed solution is to improve citizens understanding of systems by making them more open and transparent [3]. For example, GDPR prescribes people’s right to explanation of automated decisions they have been subjected to. For another example, the city of Amsterdam offers a publicly accessible register of urban sensors, and is committed to opening up all the data they collect.
However, it is not clear that openness and transparency in and of itself will yield the desired improvements in understanding and governing of smart city infrastructures [4]. We would like to suggest that for a system to perceived as accountable, people must be able to contest its workings—from the data it collects, to the decisions it makes, all the way through to how those decisions are acted on in the world.
The leading research question for this PhD therefore is how to design smart city infrastructure—urban systems augmented with internet-connected sensing, processing and actuating capabilities—for contestability [5]: the extent to which a system supports the ability of those subjected to it to oppose its workings as wrong or mistaken.
References
- Burrell, Jenna. “How the machine ‘thinks’: Understanding opacity in machine learning algorithms.” Big Data & Society 3.1 (2016): 2053951715622512.
- Kitchin, Rob, Paolo Cardullo, and Cesare Di Feliciantonio. “Citizenship, Justice and the Right to the Smart City.” (2018).
- Abdul, Ashraf, et al. “Trends and trajectories for explainable, accountable and intelligible systems: An hci research agenda.” Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 2018.
- Ananny, Mike, and Kate Crawford. “Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability.” New Media & Society 20.3 (2018): 973-989.
- Hirsch, Tad, et al. “Designing contestability: Interaction design, machine learning, and mental health.” Proceedings of the 2017 Conference on Designing Interactive Systems. ACM, 2017.