Note: This text was written and planned for publication in September 2015. While it wasn’t published at the time and some bits and pieces seem a little dated by now, I felt there’s still enough relevance here to publish it now. Enjoy!
As the Internet of Things (IoT) expands into more and more parts of our lives, one big focal point for IoT is the smart city. Since the majority of the population lives in cities and we cannot opt out of our urban environments, this makes it the next frontier for IoT, digital rights and innovation.
Understanding the connected city
What makes a smart city? What’s the smartest city in the world? The connected city is a surprisingly hard-to-define construct: There is a very small number of “pure play” smart cities – planned cities built from scratch – that everyone would agree are smart, like Abu Dhabi’s Masdar City. But do they count as real cities if they have no history and hardly a population? There are smart city services, like real-time public transport data: How many of these does it take to make a city officially “smart”? How does the population factor into it?
I believe that the current focus on the city-level might counter-intuively get in the way of our thinking. So let’s step away from the implementation level of a city wide integrated sensor network with a connected city data dashboard. I’m increasingly convinced that the trick is to tackle the understanding of connected cities from two sides:
Zoom in to a more granular level where instead of looking at the city-level we can focus on individual projects, initiatives and programs that work with city data of any sort. This more open approach means we can count and analyze a wider range of projects from real-time public transport to networks of DIY air quality sensors or open source smart meters. Based on this we could rank cities based on their smartness, or maybe smart-readiness. Some not-yet-public research I’ve been involved in shows promising results: Imagine a large catalog of smart city(ish) projects that can be sliced and diced based on region, scale, funding sources, or impact.
Then zoom out to the systemic level that doesn’t just consider the physical manifestation of the city, but it’s governance, administration, and citizenry. A large part of what makes a city smart isn’t its infrastructure (the strong focus on the technology angle is misleading), it’s the social impact of how we make that infrastructure work for its citizens. This means we need to look at how to prepare local governments and administrations, an area where NGOs like Code for America have been doing great work, and it means making sure that citizens know how to participate. After all, the overarching goal of a connected city should be to empower its citizens – so smart citizens are the true key to a smart city.
Smart cities need citizen-centric design
The way we discuss connected cities today is heavily framed through the lens of efficiency based on gathering data. This is no coincidence: The main drivers of the debate today are technology vendors who have been selling solutions for the industrial context like smart factories and connected logistics chain. It is only natural that the same vendors would try to solve urban challenges through large-scale implementations of their sensors, networks and infrastructure: If you have a hammer, everything looks like a nail.
However, for the context of a heavily urbanized society this model might not be the best. Smart cities researcher and critic Adam Greenfield goes even further, calling the efficiency-focused model of the connected city “the least interesting and the most problematic” given that rich urban live depends on serendipity as much as efficient delivery of services. Algorithms should augment, not replace political processes like resource allocation.
Maybe even more importantly, history has shown that complex, massively integrated computational systems are fraught with issues. If we turn a city into a giant centralized computer, we might create infrastructure that is brittle rather than resilient: “Smart cities are almost guaranteed to be chock full of bugs, from smart toilets and faucets that won’t operate to public screens sporting Microsoft’s ominous Blue Screen of Death”, fears smart city advocate Anthony Townsend.
These doomsday scenarios are easily avoided, though, if we focus on how to put humans in the center. The open data/open government and civic tech movements advocate for urban services that are citizen-centric and focus on real-world needs. This allows to build resilient cities. In their academic and policy research, Susan Crawford and Stephen Goldsmith speak of the responsive city: A city that focuses on its citizens needs and molds itself based on changing needs through technology and data. In other words, the city is a platform for its stakeholders – citizens and businesses alike.
Shaping the connected city
As Lawrence Lessig famously stated, code is law. The code we run our smart city on governs urban life. So it’s crucial to ensure that this code isn’t just fit for prime time in the sense of quality control, but also that we make the right choice for how and what kind of code is implemented in the first place. This is less of a technical than a policy question, and governments around the world are thinking hard about it.
Recently I co-authored a report on connected cities my colleague and ethics professor Dr. Christoph Bieber for the German government. The question: How to think smart cities with a strong focus on the citizens’ perspective. We found we have great historic precedence to inform solutions for the challenges ahead: The key to unlocking connected cities are the design principles – the protocols – that helped build the internet in its early days: Openness, decentralized architecture, bottom-up innovation, and Postel’s law (the so-called robustness principle).
In other words, we can build the city as a platform that is decentralized, open source, and hackable; That empowers citizens and enables private enterprises to innovate; And that is especially responsive and resilient through inclusivity, diversity, peer-review, and human-centric design.
