Category Archives: publications

Call for paper: Data driven cities? Digital urbanism and its proxies

We are organising a special issues on data-driven cities. You can find more details below and we look forward to your proposals.

 

Tecnoscienza. Italian Journal of Science and Technology Studies

SPECIAL ISSUE

“DATA DRIVEN CITIES? DIGITAL URBANISM AND ITS PROXIES”

Guest editors:

Claudio Coletta (Maynooth University)

Liam Heaphy (Maynooth University)

Sung-Yueh Perng (Maynooth University)

Laurie Waller (Technische Universität München)

Call for papers:

In the last few decades, data and software have become an integral part of urban life, producing a radical transformation of social relations in cities. Contemporary urban environments are characterised by dense arrangements of data, algorithms, mobile devices, and networked infrastructures. Multiple technologies (such as smart metering, sensing networks, GPS transponders, CCTV, induction loops, and mobile apps) are connected with numerous processes (such as institutional data management, data brokering, crowdsourcing, and workflow management), in order to provide sustainable, efficient, and integrated city governance and services. Accordingly, big data and algorithms have started to play a prominent role in informing decision-making and in performing the spatial, material, and temporal dimensions of cities.

Smart city initiatives undertaken globally are characterised by highlighting the purported benefits of partly automating management of public services, new forms of civic engagement enabled by digital infrastructures, and the potentials for innovating policy and fostering economic development.

Yet, contributions within STS, Critical Data Studies, Geography, Sociology, Media Studies and Anthropology have contested the neutral and apolitical nature of (big) data and the ahistorical, aspatial, homogenizing vision of cities in favour of an understanding that recognizes the situated multiplicity of actual digital urbanism. The politics of data, data analytics and visualizations perform within specific urban and code assemblages embodying specific versions of real-time and anticipatory governance. At the same time, these studies highlight the risks of dataveillance as well as the corporatisation of governance and technocratic solutionism which, especially coupled with austerity regimes, seem to reinforce inequalities while influencing people’s lives out of the public grasp. Within this context, vested interests interact in a multi-billion global market where corporations, companies and start-ups propose data-driven urban solutions, while public administrations increasingly delegate control over citizens’ data. Also, public institutions and private companies leverage the efforts of open data movements, engaged civic communities and citizen-minded initiatives to find new ways to create public and economic value from urban data.

The aim of this special issue is therefore to encourage critical and transdisciplinary debates on the epistemological and ontological implications of actual data-driven urbanism: its uncertain, fragile, contested, conflicting nature; the different forms of performing and making sense of the urban environment through data and algorithms; the different ways to approach the relationship between data, software and cities; the urban and code assemblages that are produced.

To what extent cities are understandable through data? How do software and space work in urban everyday life and urban management? How do data and policies actually shape each other? What forms of delegation, enrolment and appropriation take place?

We welcome theoretical and empirical contributions critically addressing the following (non-exhaustive-list-of) topics:

– urban big data, city dashboards;

– data analytics and data brokering;

– IoT based urban services;

– predictive analytics and anticipatory governance;

– civic hacking, open data movements;

– privacy, security and surveillance in data-driven cities;

– crowd, mobility and traffic management;

– sensors, monitoring, mapping and modelling for urban facilities;

– digitization of built environment.

 

Deadline for abstract submissions: June 30th, 2016

Abstracts (in English) with a maximum length of 1000 words should be sent as email attachments to redazione@tecnoscienza.net and carbon copied to the guest editor at datadrivencities@tecnoscienza.net. Notification of acceptance will be communicated by July 2016.

Deadline for full submissions: October 15th, 2016.

Submissions (in English with a maximum length of 8000 words, including notes and references) can be made via the Journal’s submission system at www.tecnoscienza.net and an electronic copy of the article should be sent to redazione@tecnoscienza.net. The papers will be subject to a blind peer refereed review process. The special issue is expected to be published in 2017.

For further information about the special issue, contact the guest editors at datadrivencities@tecnoscienza.net.

For further information about the Journal please visit the Journal’s web site at http://www.tecnoscienza.net.

Claudio, Liam, Sung-Yueh and Laurie

Working paper: The spaces, mobilities and soundings of coding

A short paper has been developed as a pre-print for a chapter in an exciting book Experiencing Networked Urban Mobilities, edited by Katrine Hartmann-Petersen, Emmy Laura Perez Fjalland and Malene Freudendal-Pedersen.

The paper is concerned with embodied experiences, focusing on sounds, of interacting with code and discusses what happened in an introductory workshop to the programming language, Processing, organised by Coding Grace as an example. The paper demonstrates the complexity of organising one’s own experiences according to the logic and reasoning of a specific programming language. I was in the workshop, and the tutor, Stephen Howell, who is the Academic Engagement Manager at Microsoft Ireland, did a fantastic job explaining the code and navigating the participants through the problems they had. The workshop was well-paced, and Stephen planned ahead to ensure everyone could follow the instructions. Therefore, the difficulties that still emerged when participants engaged with the code tell something more than pedagogical styles or approaches. For example, writing code or setting parameters are much more contingent in civic hacking events. Decisions have to be made with partial or limited information, skill sets contingent upon the participants of the day, with time and resources constraints, without knowing fully about the individuals or organisations that can be affected, etc. Some of these issues are discussed in another working paper on the frictions and strategies in civic hacking (paper is here). Further, there are also the issues concerning who these programmers are; how they perceive themselves in relation to their skills and genders; how they organise communities and spaces to support themselves? These are something that Sophia Maalsen and I continue to work on and to share with you again soon.

Have a look at the paper here if interested, and let me know what you think!

Sung-Yueh

New paper in Information, Communication and Society: Thinking critically about and researching algorithms

A new paper by Rob Kitchin – Thinking critically about and researching algorithms – has just been published (online first) in Information, Communication and Society.

Abstract

More and more aspects of our everyday lives are being mediated, augmented, produced and regulated by software-enabled technologies. Software is fundamentally composed of algorithms: sets of defined steps structured to process instructions/data to produce an output. This paper synthesises and extends emerging critical thinking about algorithms and considers how best to research them in practice. Four main arguments are developed. First, there is a pressing need to focus critical and empirical attention on algorithms and the work that they do given their increasing importance in shaping social and economic life. Second, algorithms can be conceived in a number of ways – technically, computationally, mathematically, politically, culturally, economically, contextually, materially, philosophically, ethically – but are best understood as being contingent, ontogenetic and performative in nature, and embedded in wider socio-technical assemblages. Third, there are three main challenges that hinder research about algorithms (gaining access to their formulation; they are heterogeneous and embedded in wider systems; their work unfolds contextually and contingently), which require practical and epistemological attention. Fourth, the constitution and work of algorithms can be empirically studied in a number of ways, each of which has strengths and weaknesses that need to be systematically evaluated. Six methodological approaches designed to produce insights into the nature and work of algorithms are critically appraised. It is contended that these methods are best used in combination in order to help overcome epistemological and practical challenges.

The final version is available here and a pre-print version of the paper can be downloaded here.

New paper in Big Data and Society: What makes big data, big data?

Rob Kitchin and Gavin McArdle have a new paper – What makes big data, big data? Exploring the ontological characteristics of 26 datasets – published in Big Data and Society.

Abstract

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.

The paper is available for download as a PDF here.

Smart cities, privacy, data protection and cybersecurity

Last Thursday saw the launch of the ‘Getting Smarter about Smart Cities: Improving Data Privacy and Data Security‘ report by Rob Kitchin and published by the Department of the Taoiseach.  The report was submitted a few days before the publication of a similar report by Lilian Edwards titled ‘Privacy, Security and Data Protection in Smart Cities: a Critical EU Law Perspective‘ and therefore has no reference to it.  Whereas my report takes a more governance and policy focused approach, Lilian’s is more legally focused.  If taken as a pair I think they provide a pretty comprehensive overview of the various privacy and security issues raised by smart city technologies and possible solutions.

Kitchin smart citiesEdwards smart cities

New report: Getting smarter about smart cities: Improving data privacy and data security

report launchAs part of ‘EU Data Protection Day’ a new report – “Getting smarter about smart cities: Improving data privacy and data security” – was launched today by Dara Murphy T.D., Minister for European Affairs and Data Protection.  The report, commissioned by the Data Protection Unit, Department of the Taoiseach (Irish Prime Minister) and written by Rob Kitchin (of The Programmable City project), is the first publication by the new Government Data Forum, a panel of experts drawn from across industry, civil society, academia and the public sector. The Forum advises Government on the opportunities and challenges for society and the economy arising from continued growth in the generation and use of personal data.  The report is available from the Department of the Taoiseach website or click here.

Executive Summary
Many cities around the world are seeking to become a smart city, using networked, digital technologies and urban big data to tackle a range of issues, such as improving governance and service delivery, creating more resilient critical infrastructure, growing the local economy, becoming more sustainable, producing better mobility, gaining transparency and accountability, enhancing quality of life, and increasing safety and security. In short, the desire is to use digital technology to improve the lives of citizens, finesse city management, and create economic development.

In this context, a wide range of smart city technologies are being deployed within urban environments, including city operating systems, centralised control rooms, urban dashboards, intelligent transport systems, integrated travel ticketing, bike share schemes, real-time passenger information displays, logistics management systems, smart energy grids, controllable lighting, smart meters, sensor networks, building management systems, and an array of smartphone apps and sharing economy platforms. All of these technologies generate huge quantities of data, much of them in real-time and at a highly granular scale.

These data about cities and their citizens can be put to many good uses and, if shared, for uses beyond the system and purposes for which they were generated. Collectively, these data create the evidence base to run cities more efficiently, productively, sustainably, transparently and fairly. However, generating, processing, analysing, sharing and storing large amounts of actionable data also raise a number of concerns and challenges.

Key amongst these are the data privacy, data protection, and data security issues that arise from the creation of smart cities. Many smart city technologies capture personally identifiable information (PII) and household level data about citizens – their characteristics, their location and movements, and their activities – link these data together to produce new derived data, and use them to create profiles of people and places and to make decisions about them. As such, there are concerns about what a smart city means for people’s privacy and what privacy harms might arise from the sharing, analysis and misuse of urban big data. In addition, there are questions as to how secure smart city technologies and the data they generate are from hacking and theft and what the implications of a data breach are for citizens. While successful cyberattacks on cities are still relatively rare, it is clear that smart city technologies raise a number of cybersecurity concerns that require attention.

To date, the approach to these issues has been haphazard and uncoordinated due to the ad-hoc manner in which they were developed. However, given the potential harms to citizens and the associated costs that can arise, and the potential benefits at stake, this approach should not be allowed to continue. The challenge is to rollout smart city solutions and gain the benefits of their deployment while maintaining infrastructure and system security and systematically minimising any pernicious effects and harms. This is no easy task, given the many stakeholders and vested interests involved and their differing aims and ambitions, and the diverse set of technologies and their complex arrangement.

This report details the development of smart cities and urban big data, highlights the various privacy and security concerns and harms related to the deployment and use of smart city technologies and initiatives, and makes a number of suggestions for addressing trepidations about and ills arising from data privacy, protection and security issues.

It argues that there is no single solution for ensuring that the benefits of creating smart cities are realised and any negative effects are neutralised. Rather, it advocates a multi-pronged approach that uses a suite of solutions, some of which are market driven, some more technical in nature (privacy enhancement technologies), others more policy, regulatory and legally focused (revised fair information practice principles, privacy by design, security by design, education and training), and some more governance and management orientated (at three levels: vision and strategy – smart city advisory board and smart city strategy; oversight of delivery and compliance – smart city governance, ethics and security oversight committee; and day-to-day delivery – core privacy/security team, smart city privacy/security assessments, and computer emergency response team).

These solutions provide a balanced, pragmatic approach that enable the rollout of smart city technologies and initiatives, but in a way that is not prejudicial to people’s privacy, actively work to minimise privacy harms, curtail data breaches, and tackle cybersecurity issues. They also work across the entire life-cycle (from procurement to decommissioning) and span the whole system ecology (all its stakeholders and components). Collectively they promote fairness and equity, protect citizens and cities from harms, and enable improved governance and economic development. Moreover, they do so using an approach that is not heavy handed in nature and is relatively inexpensive to implement. They are by no means definitive, but build on and extend work to date, advance the debate, and detail a practical route forward.

The report concludes that a core requirement for creating smart cities is the adoption of an ethical, principle-led approach designed to best serve the interests of citizens. In other words, being smart about how we plan and run cities consists of much more than deploying data-driven, networked technologies; it requires a smart approach.