Abstract: In this paper, we examine the governmentality and the logics of urban control enacted through smart city technologies. Several commentators have noted that the implementation of algorithmic forms of urban governance that utilize big data greatly intensifies the extent and frequency of monitoring populations and systems and shifts the governmental logic from surveillance and discipline to capture and control. In other words, urban governmentality is shifting from subjectification – molding subjects and restricting action – to modulating affects, desires and opinions, and inducing action within prescribed comportments. We examine this contention through an examination of two forms of urban informatics: city dashboards and urban control rooms and their use in urban governance. In particular, we draw on empirical analysis of the governmental logics of the Dublin Dashboard, a public, analytical dashboard that displays a wide variety of urban data, and the Dublin Traffic Management and Incident Centre (TMIC) and its use of SCATS (Sydney Coordinated Adaptive Traffic System) to control the flow of traffic in the city. We argue that there is no one governmentality being enacted by smart city technologies, rather they have mutable logics which are abstract, mobile, dynamic, entangled and contingent, being translated and operationalized in diverse, context-dependent ways. As such, just as disciplinary power never fully supplanted sovereign power, control supplements rather than replaces discipline.
Rob Kitchin has published a new Programmable City working paper (No. 23), ‘Urban science: a short primer‘, on SocArXiv.
Abstract: This paper provides a short introductory overview of urban science. It defines urban science, details its practioners and their aims, sets out its relationship to urban informatics and urban studies, and explains its epistemology and the analysis of urban big data. It then summarizes criticism of urban science with respect to epistemology, instrumental rationality, data issues, and ethics. It is concluded that urban science research will continue to grow for the foreseeable future, providing a valuable means of making sense of cities, but that it is unlikely it will become a new paradigm, producing an integrative approach that replaces the diverse philosophical traditions within urban studies.
We’re back again with another set of papers from The Programmable City’s Data and the City workshop. These videos formed a wonderfuld opening session for the second day of the event.
Data Models and the City
Service Oriented Design and Polyglot Binding for Efficient Sharing and Analysing of Data in Cities
Pouria Amirian, Big Data Project Manager and Data Science Research Associate, University of Oxford
Abstract
Nowadays successful and efficient management of a city depends on how data are collected, shared and transferred within and between various organizations in the city and how data analytics are used for extracting actionable insights for decision making. Since each organization use different platforms, operating systems and software for the above mentioned tasks, data sharing mechanisms should be provided as platform independent services. This platform independent services can then utilized by various users for different purposes. For example for research purpose of universities, for business purposes of industry and commercial companies, for improving the existing services by city council and related organizations and even for facilitating communication between people and policy makers. Platform independency is necessary quality of services for providing interoperability from technical point of view. The interoperability at various levels is an important requirement and vision for public services and it is well defined in initiatives like European Interoperability Framework (EIF) and many national interoperability frameworks. Based on the mentioned frameworks, exchange of data is an ultimate enabler for sharing information and knowledge between organizations.
In addition to platform independency, in order to make the services as resourceful as possible the services need to be designed based on certain principles. The principles for designing services are dependent on the type of applications and users of those services. This paper first describes the concept of service orientation and then explains three different approaches for sharing data and analysis in a city. Finally the paper suggest an architecture (Organizational Service Layer) to implement polyglot binding for flexible, scalable and interoperable implementation of services in a city.
Data About Cities: Redefining Big, Recasting Small
Michael Batty, Professor, Centre for Advanced Spatial Analysis (CASA), University College London
Abstract
In this paper, we argue that the development of data with respect to its use in understanding and planning cities is intimately bound up with the development of methods for manipulating such data, in particular digital computation. We argue that although data volumes have dramatically increased as has their variety in urban contexts largely due to the development of micro devices that enable all kinds of human and physical phenomena to be sensed in real time, big data is not peculiar to contemporary times. It essentially goes back to basic notions of how we deal with relationships and functions in cities that relate to interactions. Big data is thus generated by concatenating smaller data sets and in particular if we change our focus from locations to interactions and flows, then data has faced the challenges of bigness for many years. This should make us more careful about defining what is ‘big data’ and to illustrate these points, we first look at traditional interaction patterns – flows of traffic in cities and show some of the problems of searching for pattern in such data. We then augment this discussion of big data by examining much more routine travel data which is sensed from using smart cards for fare-charging and relating this to questions of matching demand and supply in the context of understanding the routine operation of transit. This gives us some sense of the variety of big data and the challenges that are increasingly necessary in dealing with this kind of data in the face of advances in digital computation.
Putting Out Data Fires; life with the OpenStreetMap DWG
Abstract
OpenStreetMap is a collaborative map of the world, being made on a voluntary basis, and the Data Working Group is its dispute resolution service. Edit wars and tagging conflicts are not frequent, and are often dealt with on a community basis, but when they escalate unbearably, someone calls in the DWG. The DWG operates simultaneously as a kind of police force and as the social work arm of the voluntary fire service for OpenStreetMap. I have had the honour of serving on the DWG since November 2014, and will discuss how consideration several cases of active conflict in different cities worldwide, sheds some light on the different forces at work involved in putting together a collaborative map, and the ways in which people are personally affected. The tone of the paper will owe a little to Bruno Latour’s classic infrastructure detective story, “Aramis”.
Thank you to everyone who attended our 2015 workshop Data and the City in early September. It was a fantastic event. Over the next few days we will make the video recordings of the presentations available online.
Here is the introduction to the workshop and the first session, Critically Framing Data.
Abstract
For as long as data have been generated about cities various kinds of data-informed urbanism have been occurring. In this paper, I argue that a new era is presently unfolding wherein data-informed urbanism is increasingly being complemented and replaced by data-driven, networked urbanism. Cities are becoming ever more instrumented and networked, their systems interlinked and integrated, and vast troves of big urban data are being generated and used to manage and control urban life in real-time. Data-driven, networked urbanism, I contend, is the key mode of production for what have widely been termed smart cities. In this paper I provide a critical overview of data-driven, networked urbanism and smart cities focusing in particular on the relationship between data and the city (rather than network infrastructure or computational or urban issues), and critically examine a number of urban data issues including: the politics of urban data; data ownership, data control, data coverage and access; data security and data integrity; data protection and privacy, dataveillance, and data uses such as social sorting and anticipatory governance; and technical data issues such as data quality, veracity of data models and data analytics, and data integration and interoperability. I conclude that whilst data-driven, networked urbanism purports to produce a commonsensical, pragmatic, neutral, apolitical, evidence-based form of responsive urban governance, it is nonetheless selective, crafted, flawed, normative and politically-inflected. Consequently, whilst data-driven, networked urbanism provides a set of solutions for urban problems, it does so within limitations and in the service of particular interests.
Session 1: Critically Framing Data
Provenance and Possibility: Critically Framing Data
Jim Thatcher, ssistant Professor, Division of Urban Studies, University of Washington – Tacoma
Abstract
‘Big data’s’ boosters present a mythology wherein it is perpetually new, pushing ever-forwards towards bigger and better representations of the world. Similarly, the vision of the “smart city” is inevitably an ahistorical imaginary of data-intense urban planning and coordination. Data sources, actually existing data, appear in the literature as uncritical, pre-existing, and decontextualized representations of the world to be exploited in service to a techno-utopian urban. The sources of data, its provenance, recede into a technical issue: one in a litany of hurdles to be overcome through austere, computational methodologies. Such technical approaches to provenance efface the intentionality of data creators. They leave out the inscription of meaning that goes into data objects as socio-technical, emergent indicators at urban scales and instead seats them as objective reality. Using a critical data studies approach, this paper connects and contextualizes the conditions of data’s production with its potential uses in the world. Data provenance, the where, how, and from whom data is produced, is intrinsically linked to how it comes to (re)present the world. This exploration serves as the first steps in developing a schema that includes mobile devices, municipal services, and other categories and tie that to the historical ideologies through which these technologies emerged in urban contexts.
Where are data citizens?
Evelyn Ruppert, Professor, Department of Sociology, Goldsmiths, University of London
Abstract
If we increasingly know, experience and enact cities through data then we need to understand who are the subjects of that data and the space of relations they occupy. The development of the Internet of Things (IoT) means phones, watches, dishwashers, fridges, cars, and many other devices are always already connected to the Internet and generating enormous volumes of data about movements, locations, activities, interests, encounters, and private and public relationships. It also means that conduct is being governed through myriad arrangements and conventions of the Internet. What does this mean for how data subjects become data citizens? If indeed through the act of making claims data subjects become citizens how do we understand the spaces of this becoming? Challenging a separation between ‘real’ space and ‘virtual’ space, I define cyberspace as a space of social struggles: a space of transactions and interactions between and among bodies acting through the Internet. How these struggles are part-and-parcel of the constitution of the programmable city is the critical framing that I take up in this paper.
Unfortunately no video recording of this paper was made. Audio should be made available shortly.
Data cultures, power and the city
Jo Bates, Lecturer in Information Politics and Policy, Information School, University of Sheffield
Abstract
How might we come to know a city through data? As citizens, policy makers, academics and businesses turn increasingly to data analytics in an effort to gain insight into and manage cities, this paper argues that rather than seeking to find the truth of cities in their data, we might better illuminate the flows of power and influence in the contemporary urban environment through close critical examination of these emerging, intersecting local data cultures and practices.
What value and relevance do local data cultures see in emergent data practices? How do they come to influence and shape them? What are their hopes, aspirations, concerns and fears? What tensions and struggles are emerging? Where and how do these local practices intersect with one another? How are they embedded within and responding to developments in national and transnational data practices, infrastructures and flows?
Through focusing on the complex and contested “assemblages” of political, economic, social and cultural processes that data production and flow are embedded in, and recognising local data practices as specific articulations of social relations situated within time and space, what can we learn about our cities and how they are situated within the global flows of capital and power in the early 21st century?
This paper will begin to address these questions using illustrative examples drawn from empirical research findings.
The remainder of the videos will be released on our website in coming weeks. If you just can’t wait, you can check them out now on our Vimeo account.
A new paper, ‘Data-driven, networked urbanism’, has been published by Rob Kitchin as Programmable City Working Paper 14. The paper has been prepared for the Data and the City workshop to be held at Maynooth University Aug 31th-Sept 1st.
Abstract
For as long as data have been generated about cities various kinds of data-informed urbanism have been occurring. In this paper, I argue that a new era is presently unfolding wherein data-informed urbanism is increasingly being complemented and replaced by data-driven, networked urbanism. Cities are becoming ever more instrumented and networked, their systems interlinked and integrated, and vast troves of big urban data are being generated and used to manage and control urban life in real-time. Data-driven, networked urbanism, I contend, is the key mode of production for what have widely been termed smart cities. In this paper I provide a critical overview of data-driven, networked urbanism and smart cities focusing in particular on the relationship between data and the city (rather than network infrastructure or computational or urban issues), and critically examine a number of urban data issues including: the politics of urban data; data ownership, data control, data coverage and access; data security and data integrity; data protection and privacy, dataveillance, and data uses such as social sorting and anticipatory governance; and technical data issues such as data quality, veracity of data models and data analytics, and data integration and interoperability. I conclude that whilst data-driven, networked urbanism purports to produce a commonsensical, pragmatic, neutral, apolitical, evidence-based form of responsive urban governance, it is nonetheless selective, crafted, flawed, normative and politically-inflected. Consequently, whilst data-driven, networked urbanism provides a set of solutions for urban problems, it does so within limitations and in the service of particular interests.
Key words: big data, data analytics, governance, smart cities, urban data, urban informatics, urban science
