Infrastructural surveillance

Gekker, Alex; Hind, Sam

doi:10.1177/1461444819879426

Cited by 30 publications

(21 citation statements)

References 55 publications

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“…For fleet operators, external surfacing enables ‘smarter decisions, powered by data’ (US Fleet Tracking, 2020), through which vehicle assets can be managed. Increasingly, however, this type of extraction is being enabled to both obtain ever-more granular driving data, as well as to expand such efforts to everyday vehicle owners (Gekker and Hind, 2019). In this case, vehicle data is transformed into driving data through a re-datafication process that yields greater opportunity for the aggregation, combination and comparison (i.e.…”

Section: Driving Data: Indicator-by-indicatormentioning

confidence: 99%

Dashboard design and the ‘datafied’ driving experience

Hind

2021

Big Data & Society

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In this article, I consider how the redesign of vehicle dashboards has restructured car-related data processes. I do so by charting the emergence of two such processes enabled by the redesign of vehicle dashboards: firstly, the transformation of ‘geodata’ into ‘navigational data’ with the integration of voice-activated navigation systems into vehicle dashboards, and secondly, the transformation of ‘vehicle data’ into ‘driving data’ in the convergence, and customization, of dashboard features and functionality. Both transformations are enabled through strategic design decisions, persuading drivers to participate in novel practices they might otherwise not. Firstly, in that voice-activation is depicted as a seamless, unmediated interface between the normal, natural speech of a driver, and the vehicle itself. Secondly, through the strategy of control, the driver is persuaded to believe they have full(er) customizable power within, and of, Firstly, in that voice-activation is depicted as a seamless, unmediated interface between the normal, natural speech of a driver, and the vehicle itself. Secondly, through the strategy of control, the driver is persuaded to believe they have full(er) customizable power within, and of, the vehicle. The systems discussed here – a voice-activated navigation system built on the What3words platform, and a ‘widescreen’ dashboard in a range of Mercedes-Benz vehicles – are representative of broader efforts within the automotive industry to cultivate a newly ‘datafied’ driving experience.

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Section: Driving Data: Indicator-by-indicatormentioning

confidence: 99%

Dashboard design and the ‘datafied’ driving experience

Hind

2021

Big Data & Society

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“…Arguably, the current pandemic crisis and democracy are pervasively related to data governance issues, exposing citizens' vulnerability in a potential surveillance state [28,[97][98][99][100][101][102][103]. Should European governments protect citizens from being infected even if doing so might mean establishing a new digital non-privacy norm?…”

Section: Rationale: European Pandemic Citizenship and Platform/data Cmentioning

confidence: 99%

Platform and Data Co-Operatives amidst European Pandemic Citizenship

Calzada

2020

Sustainability

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Many European pandemic citizens will likely be unemployed during the COVID-19 crisis. This article explores whether it is possible to alter existing data governance extractivist models to incentivize the emergence of platform and data co-operatives to protect European pandemic citizens’ labor and digital rights. As such, this article aims to decipher the rationale behind the proliferation of platform and data co-operatives by responding to how new forms of co-operatives using digital technologies can provide feasible socio-economic alternatives to improve post-COVID-19 working conditions for vulnerable or already empowered pandemic citizens. This article is structured as follows. First, the European “pandemic citizenship” term is described. Second, the rationale of this article is consequently presented. Third, the research question, two hypotheses, and the action research triangulation are described. The deployment of the triangulation methodology based on action research, mixed methods and social innovation reveals the main findings through (i) Delphi study results, (ii) a taxonomy for platform and data co-operative cases, and ultimately, (iii) fieldwork research conducted in Glasgow, Barcelona and Tallinn. This article concludes that co-operatives (platform-based or data-driven), stemming from the potential resilient response of European pandemic citizens, may currently portray a feasible alternative to data governance extractivist models.

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“…In this paper we address the growing interest in the socialist calculation debate (Davies 2019;Morozov 2019;Cottrell and Cockshott 1993) by proposing the notion of infrastructural socialism. In an age variously characterized by platform capitalism (Srnicek 2016), surveillance capitalism (Zuboff 2015) or infrastructural surveillance (Gekker and Hind 2019), we propose to move on from diagnosing the present condition, to articulating a possible future. In this, we discuss the potential of leveraging digital infrastructures of major technology companies for the public good, beyond narrow usership or customer base.…”

Section: Sam Hind Siegen University Germanymentioning

confidence: 99%

Re-Valuing Platforms, Reclaiming the Local

Gekker

Hind

2020

SPIR

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This panel brings together emerging scholarship that challenges the contemporary hold of major platforms over public and private life. It critically questions the scope, valence, and embeddedness of platforms in the everyday, challenging (commercial) platformization as the new normal. We attempt to offer new ways of managing, changing and co-opting platforms for the benefit of end-users rather than proprietors only. To this end, the panel discusses and debates 'non-market' approaches to tackling social and environmental effects of platforms. It is designed to build on recent work within infrastructure, platform and critical data studies to suggest alternative approaches to the neoliberal ordering of economic life. A central question is whether the data streams monetized by “big tech” can be harnessed for public, democratic, or socialist ends; in doing so, bringing them 'in house' and into competition with big tech itself. In other words, the panel takes a “protocological” (Galloway 2004) resistance approach, in appropriating the methods of algorithmic- and data-governance occurring under platformization, and utilising them at the regional (state) or (hyper-)local (city, city block) level. Moreover, it seeks to highlight examples of successful community-based and cooperative instances of platformization. Looking at the seemingly ruthless efficiency of Google, Apple, Facebook, Amazon and Microsoft (GAFAM) in the extraction of value through digital means, the panellists ask: what would resistance look like if we use the economic and infrastructural strategies levied against us? $2 Galloway, A. R. (2004). Protocol: How control exists after decentralization. MIT press.

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Infrastructural surveillance

Cited by 30 publications

References 55 publications

Dashboard design and the ‘datafied’ driving experience

Dashboard design and the ‘datafied’ driving experience

Platform and Data Co-Operatives amidst European Pandemic Citizenship

Re-Valuing Platforms, Reclaiming the Local

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