Software, big data, smart cities by Rob Kitchin
This paper critically appraises citizens' participation in the smart city. Reacting to critiques ... more This paper critically appraises citizens' participation in the smart city. Reacting to critiques that the smart city is overly technocratic and instrumental, companies and cities have reframed their initiatives as 'citizen-centric'. However, what 'citizen-centric' means in practice is rarely articulated. We draw on and extend Sherry Arnstein's seminal work on participation in planning and renewal programmes to create the 'Scaffold of Smart Citizen Participation' – a conceptual tool to unpack the diverse ways in which the smart city frames citizens. We then use this scaffold to measure smart citizen inclusion, participation, and empowerment in smart city initiatives in Dublin, Ireland. Our analysis illustrates how most 'citizen-centric' smart city initiatives are rooted in stewardship, civic paternalism, and a neoliberal conception of citizenship that prioritizes consumption choice and individual autonomy within a framework of state and corporate defined constraints that prioritize market-led solutions to urban issues, rather than being grounded in civil, social and political rights and the common good. We conclude that significant normative work is required to rethink 'smart citizens' and 'smart citizenship' and to remake smart cities if they are to truly become 'citizen-centric'.
While there is a relatively extensive literature concerning the nature of smart cities in general... more While there is a relatively extensive literature concerning the nature of smart cities in general, the roles of corporate actors in their production, and the development and deployment of specific smart city technologies, to date there have been relatively few studies that have examined the situated practices as to how the smart city as a whole unfolds in specific places. In this paper, we chart the smart city ecosystem in Dublin, Ireland, and examine how the four city authorities have actively collaborated to progressively frame and mobilise an articulated vision of Dublin as a smart city. In particular, we focus on the work of 'Smart Dublin', a shared unit established to coordinate, manage and promote Dublin's smart city initiatives. We argue that Smart Dublin has on the one hand sought to corral smart city initiatives within a common framework, and on the other has acted to boost the city-region's smart city activities, especially with respect to economic development. Our analysis highlights the value of undertaking a holistic mapping of a smart city in formation, and the role of political and administrative geographies and specialist smart city units in shaping that formation.
Hackathons – quick prototyping events for commercial purposes – have become an important means to... more Hackathons – quick prototyping events for commercial purposes – have become an important means to foster innovation, entrepreneurship and the start-up economy in smart cities. Smart and entrepreneurial cities have been critiqued with respect to the neoliberalization of governance and statecraft. We consider the passions, inventions and imitations in the assemblage of practices – alongside neoliberalizing and capitalist operations – that shape the economy and governance of smart cities. The paper examines hackathons as tech events that extend the passions for digital innovation and entrepreneurship and act as sites of social learning for the development of smart urbanism. We argue that passionate and imitative practices energize the desire and belief in entrepreneurial life and technocratic governance, and also engender precarious, ambiguous and uncertain future for participants and prototypes.
This paper evaluates smart city (SC) initiatives in the context of re-using vacant property. More... more This paper evaluates smart city (SC) initiatives in the context of re-using vacant property. More specifically, we focus on living labs (LL) and vacancy in general, as well as on their potential role in fostering creative economy-fuelled gentrification. LL utilise Lo-Fi technologies to foster local digital innovation and support community-focused civic hacking, running various kinds of workshops and engaging with local citizens to co-create digital interventions and apps aimed at 'solving' local issues. Five approaches to LL are outlined and discussed in relation to vacancy and gentrification: pop-up initiatives, university-led activities, community organised venues/activities, citizen sensing and crowdsourcing, and tech-led regeneration initiatives. Notwithstanding the potential for generating temporary and independent spaces for transferring and fostering digital competences and increasing citizens' participation in the SC, we argue that LL largely foster a form of participation framed within a model of civic stewardship for 'smart citizens'. While presented as horizontal, open, and participative, LL and civic hacking are often rooted in pragmatic and paternalistic discourses and practices related to the production of a creative economy and a specific version of SC. As such, by encouraging a particular kind of re-use of vacant space, LL potentially contributes to gentrification pressures within locales by attracting the creative classes and new investment. We discuss these approaches and issues generally and with respect to examples in Dublin, Ireland.
In this paper, we argue that the ideas, ideals and the rapid proliferation of smart city rhetoric... more In this paper, we argue that the ideas, ideals and the rapid proliferation of smart city rhetoric and initiatives globally have been facilitated and promoted by three interrelated communities. A new set of 'urban technocrats' – chief innovation/technology/data officers, project managers, consultants, designers, engineers, change-management civil servants, and academics – many of which have become embedded in city administrations. A smart cities 'epistemic community'; that is, a network of knowledge and policy experts that share a worldview and a common set of normative beliefs, values and practices with respect to addressing urban issues, and work to help decision-makers identify and deploy technological solutions to solve city problems. A wider 'advocacy coalition' of smart city stakeholders and vested interests who collaborate to promote the uptake and embedding of a smart city approach to urban management and governance. We examine the roles of new urban technocrats and the multiscale formation and operation of a smart cities epistemic community and advocacy coalitions, detailing a number of institutional networks at global, supra-national, national, and local scales. In the final section, we consider the translation of the ideas and practices of the smart city into the policies and work of city administrations. In particular, we consider what might be termed the 'last mile problem' and the reasons why, despite a vast and active set of technocrats and epistemic community and advocacy coalition, smart city initiatives are yet to become fully mainstreamed and the smart city mission successfully realized in cities across the globe. We illustrate this last mile problem through a discussion of plans to introduce smart lighting in Dublin.
This paper provides a short introductory overview of urban science. It defines urban science, det... more 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.
In this paper we examine the current state of play with regards to the security of smart city ini... more In this paper we examine the current state of play with regards to the security of smart city initiatives. Smart city technologies are promoted as an effective way to counter and manage uncertainty and urban risks through the effective and efficient delivery of services, yet paradoxically they create new vulnerabilities and threats, including making city infrastructure and services insecure, brittle, and open to extended forms of criminal activity. This paradox has largely been ignored or underestimated by commercial and governmental interests or tackled through a technically-mediated mitigation approach. We identify five forms of vulnerabilities with respect to smart city technologies, detail the present extent of cyberattacks on networked infrastructure and services, and present a number of illustrative examples. We then adopt a normative approach to explore existing mitigation strategies, suggesting a wider set of systemic interventions (including security-by-design, remedial security patching and replacement, formation of core security and computer emergency response teams, a change in procurement procedures, and continuing professional development). We discuss how this approach might be enacted and enforced through market-led and regulation/management measures, and examine a more radical preventative approach to security.
In this paper, we examine the governmentality and the logics of urban control enacted through sma... more 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.
To date, research examining the socio-spatial effects of smart city technologies have charted how... more To date, research examining the socio-spatial effects of smart city technologies have charted how they are reconfiguring the production of space, spatiality and mobility, and how urban space is governed, but have paid little attention to how the temporality of cities is being reshaped by systems and infrastructure that capture, process and act on real-time data. In this paper, we map out the ways in which city-scale Internet of Things infrastructures, and their associated networks of sensors, meters, transponders, actuators and algorithms, are used to measure, monitor and regulate the polymorphic temporal rhythms of urban life. Drawing on Lefebvre (1992[2004]), and subsequent research, we employ rhythmanalysis in conjunction with Miyazaki's (2012, 2013a/b) notion of 'algorhythm' and nascent work on algorithmic governance, to develop a concept of 'algorhythmic governance'. We then use this framing to make sense of two empirical case studies: a traffic management system and sound monitoring and modelling. Our analysis reveals: (1) how smart city technologies computationally perform rhythmanalysis and undertake rhythm-work that intervenes in space-time processes; (2) three distinct forms of algorhythmic governance, varying on the basis of adaptiveness, immediacy of action, and whether humans are in, on-, of-, off-the-loop; (3) and a number of factors that shape how algorhythmic governance works in practice.
This chapter considers the relationship between data and the city by critically examining six key... more This chapter considers the relationship between data and the city by critically examining six key issues with respect city dashboards: epistemology, scope and access, veracity and validity, usability and literacy, use and utility, and ethics. While city dashboards provide useful tools for evaluating and managing urban services, understanding and formulating policy, and creating public knowledge and counter-narratives, our analysis reveals a number of conceptual and practical shortcomings. In order for city dashboards to reach their full potential we advocate a number of related shifts in thinking and praxes and forward an agenda for addressing the issues we highlight. Our analysis is informed by our endeavours in building the Dublin Dashboard.
ISPRS Annals Photogrammetry, Remote Sensing and Spatial Information Sciences, III-4/W1
As many cities increase in size across multiple dimensions such as population, economic output an... more As many cities increase in size across multiple dimensions such as population, economic output and physical size, new methods for understanding and managing cities are required. Data produced by and about urban environments offer insight into what is happening in cities. Real-time data from sensors within the city record current transport and environmental conditions such as noise levels, water levels, journey times and public transport delays. Similarly administrative data such as demographics, employment statistics, property prices and crime rates all provide insight into how a city is evolving. Traditionally, these data were maintained separately and managed by individual city departments. Advances in technology and a move to open-government have placed many of these data in the public domain. Urban dashboards have emerged as a technique to visualise these data in an accessible way. This paper describes the implementation of one such dashboard, the Dublin Dashboard, an interactive website which collects, analyses and visualises data from a variety of sources about Dublin in Ireland through a series of interactive maps, graphs and applications. This paper describes the approach, the data and the technology used to develop the Dublin Dashboard and acts as a guideline for developing urban dashboards in other cities.
Over the past decade the concept and development of smart cities has unfolded rapidly, with many ... more Over the past decade the concept and development of smart cities has unfolded rapidly, with many city administrations implementing smart city initiatives and strategies and a diverse ecology of companies and researchers producing and deploying smart city technologies. In contrast to those that seek to realise the benefits of a smart city vision, a number of critics have highlighted a number of shortcomings, challenges and risks with such endeavours. This short paper outlines a third path, one that aims to realise the benefits of smart city initiatives while recasting the thinking and ethos underpinning them and addressing their deficiencies and limitations. It argues that smart city thinking and initiatives need to be reframed, reimagined and remade in six ways. Three of these concern normative and conceptual thinking with regards to goals, cities and epistemology, and three concern more practical and political thinking and praxes with regards to management/governance, ethics and security, and stakeholders and working relationships. The paper does not seek to be definitive or comprehensive, but rather to provide conceptual and practical suggestions and stimulate debate about how to productively recast smart urbanism and the creation of smart cities.
Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becomi... more Over the past two decades urban social life has undergone a rapid and pervasive geocoding, becoming mediated, augmented and anticipated by location-sensitive technologies and services that generate and utilise big, personal, locative data. The production of these data has prompted the development of exploratory data-driven computing experiments that seek to find ways to extract value and insight from them. These projects often start from the data, rather than from a question or theory, and try to imagine and identify their potential utility. In this paper, we explore the desires and mechanics of data-driven computing experiments. We demonstrate how both locative media data and computing experiments are 'staged' to create new values and computing techniques, which in turn are used to try and derive possible futures that are ridden with unintended consequences. We argue that using computing experiments to imagine potential urban futures produces effects that often have little to do with creating new urban practices. Instead, these experiments promote Big Data science and the prospect that data produced for one purpose can be recast for another and act as alternative mechanisms of envisioning urban futures.
Big Data has been variously defined in the literature. In the main, definitions suggest that Big ... more Big Data has been variously defined in the literature. In the main, definitions suggest that Big Data possess a suite of key traits: volume, velocity and variety (the 3Vs), but also exhaustivity, resolution, indexicality, relationality, extensionality and scalability. However, these definitions lack ontological clarity, with the term acting as an amorphous, catch-all label for a wide selection of data. In this paper, we consider the question 'what makes Big Data, Big Data?', applying Kitchin's taxonomy of seven Big Data traits to 26 datasets drawn from seven domains, each of which is considered in the literature to constitute Big Data. The results demonstrate that only a handful of datasets possess all seven traits, and some do not possess either volume and/or variety. Instead, there are multiple forms of Big Data. Our analysis reveals that the key definitional boundary markers are the traits of velocity and exhaustivity. We contend that Big Data as an analytical category needs to be unpacked, with the genus of Big Data further delineated and its various species identified. It is only through such ontological work that we will gain conceptual clarity about what constitutes Big Data, formulate how best to make sense of it, and identify how it might be best used to make sense of the world.
For as long as data have been generated about cities various kinds of data-informed urbanism have... more 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.
In this paper, we examine the relationship between the digital and geography. Our analysis provid... more In this paper, we examine the relationship between the digital and geography. Our analysis provides an overview of the rich scholarship that has examined: (1) geographies of the digital, (2) geographies produced by the digital, and (3) geographies produced through the digital. Using this material we reflect on two questions: has there been a digital turn in geography? and, would it be productive to delimit 'digital geography' as a field of study within the discipline, as has recently occurred with the attempt to establish 'digital anthropology' and 'digital sociology'? We argue that while there has been a digital turn across geographical sub-disciplines, the digital is now so pervasive in mediating the production of space and in producing geographic knowledge that it makes little sense to delimit digital geography as a distinct field. Instead, we believe it is more productive to think about how the digital reshapes many geographies.
Within the context of the smart city, data are an integral part of the digital economy and are us... more Within the context of the smart city, data are an integral part of the digital economy and are used as input for decision making, policy formation, and to inform citizens, city managers and commercial organisations. Reflecting on our experience of developing real-world software applications which rely heavily on urban data, this article critically examines the veracity of such data (their authenticity and the extent to which they accurately (precision) and faithfully (fidelity, reliability) represent what they are meant to) and how they can be assessed in the absence of quality reports from data providers. While data quality needs to be considered at all aspects of the data lifecycle and in the development and use of applications, open data are often provided 'as-is' with no guarantees about their veracity, continuity or lineage (documentation that establishes provenance and fit for use). This allows data providers to share data with undocumented errors, absences, and biases. If left unchecked these data quality issues can propagate through multiple systems and lead to poor smart city applications and unreliable 'evidence-based' decisions. This leads to a danger that open government data portals will come to be seen as untrusted, unverified and uncurated data-dumps by users and critics. Drawing on our own experiences we highlight the process we used to detect and handle errors. This work highlights the necessary janitorial role carried out by data scientists and developers to ensure that data are cleaned, parsed, validated and 2 transformed for use. This important process requires effort, knowledge, skill and time and is often hidden in the resulting application and is not shared with other data users. In this paper, we propose that rather than lose this knowledge, in the absence of data providers documenting them in metadata and user guides, data portals should provide a crowdsourcing mechanism to generate and record user observations and fixes for improving the quality of urban data and open government portals.
SSRN Electronic Journal, 2000
The era of ubiquitous computing and big data is now firmly established, with more and more aspect... more The era of ubiquitous computing and big data is now firmly established, with more and more aspects of our everyday lives being mediated, augmented, produced and regulated by digital devices and networked systems powered by software. Software is fundamentally composed of algorithms --sets of defined steps structured to process instructions/data to produce an output. And yet, to date, there has been little critical reflection on algorithms, nor empirical research into their nature and work. This paper synthesises and extends initial critical thinking about algorithms and considers how best to research them in practice. It makes a case for thinking about algorithms in ways that extend far beyond a technical understanding and approach. It then details four key challenges in conducting research on the specificities of algorithms --they are often: 'black boxed'; heterogeneous, contingent on hundreds of other algorithms, and are embedded in complex socio-technical assemblages; ontogenetic and performative; and 'out of control' in their work. Finally, it considers six approaches to empirically research algorithms: examining source code (both deconstructing code and producing genealogies of production); reflexively producing code; reverse engineering; interviewing designers and conducting ethnographies of coding teams; unpacking the wider socio-technical assemblages framing algorithms; and examining how algorithms do work in the world.
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Software, big data, smart cities by Rob Kitchin