Tag Archives: big data

Video: Slow computing workshop, afternoon sessions

Happy New Year!

As promised, we are sharing the video of the presentations in the afternoon sessions of the Slow Computing workshop. To catch up the keynote and papers in the morning, see here.

Aphra Kerr (Maynooth University) – Bringing the citizen back into the Algorithmic Age

Adi Kuntsman and Esperanza Miyake (Manchester Metropolitan University) – Digital disengagement as a right and a privilege: Challenges and socio-political possibilities of refusal in dataised times

Kate Symons (University of Edinburgh) – OxChain – Reshaping development donors and recipients

Gabriela Avram (University of Limerick) – Community networks as a form of resistance

Rachel O’Dwyer (Trinity College Dublin) – Coined liberty: Cash as resistance to transactional dataveillance

Lindsay Ems (Butler University) – Global resistance through technology non-use: An Amish case

Video: Slow computing workshop, session 1

On the 14th December, we organised the event Slow computing: A workshop on resistance in the algorithmic age. We are processing the video from the day, slowly of course, for those of you who could not attend or those who did but would like to relive the many interesting talks again.

To kick-off, we are sharing the video from the first session. More will follow in the new year, so stay tuned!

Introduction: Rob Kitchin and Alistair Fraser (Maynooth University) – Slow computing

Keynote: Stefania Milan (University of Amsterdam and University of Oslo) – Resist, subvert, accelerate

Nancy Ettlinger (Ohio State University) – Algorithmic affordances for resistance

New paper: slow computing

A new Progcity working paper (No. 36), Slow Computing, has been published by Alistair Fraser and Rob Kitchin.  It was prepared as a position paper for the ‘Slow computing: A workshop on resistance in the algorithmic age’, Dec 14th 2017.

Abstract

In this short position paper we examine some of the dimensions and dynamics of the algorithmic age by considering three broad questions. First, what are the problematic consequences of life mediated by ‘algorithm machines’? Second, how are individuals or groups and associations resisting the problems they encounter? Third, how might the algorithmic age be re-envisioned and re-made in more normative terms? We focus on two key aspects of living with ubiquitous computing, ‘acceleration’ and ‘data grabbing,’ which we contend are two of the most prominent and problematic features of the algorithmic age. We then begin to shed light on the sorts of practices that constitute slow computing responses to these issues. In the conclusion, we make the case for a widescale embrace of slow computing, which we propose is a necessary step for society to make the most of the undeniable opportunities for radical social change emerging from contemporary technological developments.

Download paper

 

Slow computing: A workshop on resistance in the algorithmic age

One-day Workshop, Hamilton Seminar Room (317), Eolas Building, North Campus, Maynooth University, Ireland, December 14th, 2017

 Hosted by the Programmable City project at Maynooth University Social Sciences Institute and the Department of Geography

Places are strictly limited so please register by December 1st Register Now

In line with the parallel concepts of slow food (e.g. Miele & Murdoch 2002) or slow scholarship (Mountz et al 2015), ‘slow computing’ (Fraser 2017) is a provocation to resist. In this case, the idea of ‘slow computing’ prompts users of contemporary technologies to consider ways of refusing the invitation to enroll in data grabbing architectures – constituted in complex overlapping ways by today’s technology services and devices – and by accepting greater levels of inconvenience while also pursuing data security, privacy, and even a degree of isolation from the online worlds of social networks.

The case for slow computing arises from the emerging form and nature of ‘the algorithmic age.’ As is widely noted across the sciences today (e.g. see Boyd & Crawford 2012; Kitchin 2014), the algorithmic age is propelled forward by a wide range of firms and government agencies pursuing the roll-out of data-driven and data-demanding technologies. The effects are varied, differentiated, and heavily debated. However, one obvious effect entails the re-formatting of consumers into data producers who (knowingly or unwittingly) generate millions of data points that technology firms can crunch and manipulate to understand specific markets and society as a whole, not to mention the public and private lives of everyday users. Once these users are dispossessed of the value they help create (Thatcher et al 2016), and then conceivably targeted in nefarious ways by advertisers and political campaigners (e.g. see Winston 2016), the subsequent implications for economic and democratic life are potentially far-reaching.

As such, as we move further into a world of ‘big data’ and the so-called ‘digital economy,’ there is a need to ask how individuals – as well as civil society organizations, small firms, small-scale farmers, and many others – might continue to make appropriate and fruitful use of today’s technologies, but while also trying to avoid becoming another data point in the new data-aggregating market. Does slow computing offer a way to navigate the algorithmic age while taking justice seriously? Can slow computing become a part of diverse strategies or tactics of resistance today? Just what are the possibilities and limitations of slow computing?

This one-day workshop will discuss these and other questions about slow computing.

For further information, please contact mussi@mu.ie

Programme

10.00-10.15    Welcome: Rob Kitchin & Alistair Fraser

10.15-11.30    Keynote address:  Stefania Milan, Associate Professor of New Media and Digital Culture at the University of Amsterdam and Associate Professor of Media Innovation (II) at the University of Oslo.

Paper session 1: Problematising the algorithmic age

11.30-11.45    Nancy Ettlinger, Algorithmic affordances for resistance

11.45-12.00    Jess Hoare, Slippery people: Technologization and technoratization of cities and bodies

12.00-12.15    Pip Thornton, Language in the age of algorithmic reproduction: a critique of linguistic capitalism and an artistic intervention

12.15-12.30    Chris Pinchen, Dance Like Your Microwave Isn’t Watching: (From CryptoParty to Teen Vogue via Emma Goldman and reverse engineered sex toys)

12.30-13.10    Discussion

13.10-14.00   Lunch

Paper Session 2: Rights and resistance in the algorithmic age

14.00-14.15    Aphra Kerr, Bringing the citizen back into the Algorithmic Age

14.15-14.30    Gabriela Avram, Community networks as a form of resistance

14.30-14.45    Adi Kuntsman and Esperanza Miyake, Digital disengagement as a right and a privilege: challenges and socio-political possibilities of refusal in dataised times

14.45-15.00    Marguerite Barry, Kalpana Shankar, Aphra Kerr, Slowcalisation – towards an ethic of care for human-data interactions

15.00-15.40    Discussion

15.40-16.00    Coffee

Paper Session 3: Practising slow computing

16.00-16.15    Paul O’Neill, Practice what we preach: Tactical media art as a form of political resistance

16.15-16.30    Rachel O’Dwyer, Coined Liberty: Cash as Resistance to Transactional Dataveillance

16.30-16.45    Lindsay Ems, Global Resistance through Technology Non-Use: An Amish Case Study

16.45-17.00    Kate Symons, OxChain – Reshaping development donors and recipients

17.00-17.40    Discussion

New paper: A smart place to work? Big data systems, labour, control, and modern retail stores

Leighton Evans and Rob Kitchin have published a new Programmable City working paper (No. 34): A smart place to work? Big data systems, labour, control, and modern retail stores.

Abstract

The modern retail store is a complex coded assemblage and data-intensive environment, its operations and management mediated by a number of interlinked big data systems. This paper draws on an ethnography of a superstore in Ireland to examine how these systems modulate the functioning of the store and working practices of employees. It was found that retail work involves a continual movement between a governance regime of control reliant on big data systems which seek to regulate and harnesses formal labour and automation into enterprise planning, and a disciplinary regime that deals with the symbolic, interactive labour that workers perform and acts as a reserve mode of governmentality if control fails. This continual movement is caused by new systems of control being open to vertical and horizontal fissures. While retail functions as a coded assemblage of control, systems are too brittle to sustain the code/space and governmentality desired.

Access the PDF here

New book: Data and the City

data and the cityA new book – Data and the City – edited by Rob Kitchin, Tracey Lauriault and Gavin McArdle has been published by Routledge as part of the Regions and Cities series.  The book is one of the outputs from a Progcity workshop in late 2015.

Description
There is a long history of governments, businesses, science and citizens producing and utilizing data in order to monitor, regulate, profit from and make sense of the urban world. Recently, we have entered the age of big data, and now many aspects of everyday urban life are being captured as data and city management is mediated through data-driven technologies.

Data and the City is the first edited collection to provide an interdisciplinary analysis of how this new era of urban big data is reshaping how we come to know and govern cities, and the implications of such a transformation. This book looks at the creation of real-time cities and data-driven urbanism and considers the relationships at play. By taking a philosophical, political, practical and technical approach to urban data, the authors analyse the ways in which data is produced and framed within socio-technical systems. They then examine the constellation of existing and emerging urban data technologies. The volume concludes by considering the social and political ramifications of data-driven urbanism, questioning whom it serves and for what ends. It will be crucial reading for those who wish to understand and conceptualize urban big data, data-driven urbanism and the development of smart cities.

The book includes chapters by Martijn De Waal, Mike Batty, Teresa Scassa, Jim Thatcher and Craig Dalton, Jim Merricks White, Dietmar Offenhuber, Pouria Amirian and Anahid Bassiri, Chris Speed Deborah Maxwell and Larissa Pschetz, Till Straube, Jo Bates, Evelyn Ruppert, Muki Haklay, as well as the editors.

Data and the City is available in both paperback and hardback and is a companion volume to Code and the City published last year.