Tag Archives: slow computing

Culture File’s Slow Computing Week

Culture File on Ireland’s Lyric FM, hosted by Luke Clancy, have dedicated this week to Slow Computing based on our workshop held late last year. Every evening, Monday 15th to Friday 19th January, 2018, at 6.05pm GMT, plus a special edition of Culture File on Friday 19th at 7pm, they’ll be a discussion on various aspects of computing and its effects on everyday life and how people can take back control and practice slow computing.  All of the segments will be available on Soundcloud after broadcast. The programs will feature interviews with Aphra Kerr, Rob Kitchin, Alistair Fraser, Stephanie Milan, Adi Kuntsman, Esperanza Miyake, and Lindsay Ems.

Rob Kitchin

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

CFP: Slow computing: A workshop on resistance in the algorithmic age

Call for Papers

One-day workshop, Maynooth University, Ireland, December 14th, 2017

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

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 invites participation from scholars, practitioners, artists and others who might be exploring these, or other related questions, about slow computing. Papers might contain explorations of:

  • Slow computing practices (whether using auto-ethnography, ethnography, or other qualitative or quantitative methodologies);
  • How slow computing technologies could be designed for private or public institutions;
  • The challenges facing actors who try to unplug, shield, or silo data or other products of social life from the digital economy;
  • The socio-political possibilities emerging from efforts to avoid data-grabbing architectures;
  • Efforts to raise awareness about the privacy implications of contemporary data-grabbing technologies.

Confirmed keynote speaker: Prof. Stefania Milan, University of Amsterdam

Those interested in participating should send a proposed title and abstract of no more than 250 words to Dr. Alistair Fraser – alistair.fraser@mu.ie – by September 29th 2017. Informal enquiries about the workshop can also be sent to the co-organizer, Prof. Rob Kitchin: rob.kitchin@mu.ie

Works cited:

Boyd, D. and Crawford, K. 2012. Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society. doi:10.1080/1369118X.2012.678878

Fraser, A. 2017. Land Grab / Data Grab. SocArXiv. May 19. osf.io/preprints/socarxiv/9utyh.

Kitchin, R. 2014. Big Data, new epistemologies and paradigm shifts. Big Data & Society. doi:10.1177/2053951714528481

Miele, M. and Murdoch, J., 2002. The practical aesthetics of traditional cuisines: slow food in Tuscany. Sociologia Ruralis, 42(4), pp.312-328. doi: 10.1111/1467-9523.00219

Mountz, A., Bonds, A., Mansfield, B., Loyd, J., Hyndman, J., Walton-Roberts, M., Basu, R., Whitson, R., Hawkins, R., Hamilton, T. and Curran, W., 2015. For slow scholarship: A feminist politics of resistance through collective action in the neoliberal university. ACME: An International Journal for Critical Geographies, 14(4), pp.1235-1259.

Thatcher. J., O’Sullivan, D., and Mahmoudi, D. 2016. ‘Data Colonialism through accumulation by dispossession: New metaphors for daily data. Environment & Planning D: Society & Space 34: 990-1006. doi: 10.1177/0263775816633195

Winston, J. 2016. How the Trump campaign built an identity database and used facebook ads to win the election. Startup Grind, Nov 18.