The social science debate that attends to the exploitative forces of the quantification of aspects of life previously experienced in qualitative form, recognising the ubiquitous forms of datafied power and domination, is by now an established perspective to question datafication and algorithmic control (Ruckenstein and Schüll, 2017). Drawing from the critical political economy and neo-Foucauldian analyses researchers have explored the effects of the datafication (Mayer-Schönberger and Cukier. 2013; Van Dijck, 2014) on the economy, public life, and self-understanding. Studies alert us to threats to privacy posed by “dataveillance” (Raley, 2012; Van Dijck, 2014), forms of surveillance distributed across multiple interested parties, including government agencies, insurance payers, operators, data aggregators, analytics companies, and individuals who provide the information either knowingly or unintentionally when going online, using self-tracking devices, loyalty programs, and credit cards. The “data traces” add to the data accumulated in databases and personal data – any data related to a person or resulting from actions by a person – becomes utilized for business and societal purposes in an increasingly systematic matter (Van Dijck and Poell, 2016; Zuboff, 2015).
In this paper, we take an “activist stance”, aiming to contribute to the current criticism of datafication with a more participatory and collaborative approach offered by “data activism” (Baack 2015; Milan and van der Velden, 2016), and civic and political engagement spurred by datafication. The various data-driven initiatives currently under development suggest that the problematic aspects of datafication, including the tension between data openness and data ownership (Neff, 2013), the asymmetries in terms of data usage and distribution (Wilbanks and Topol, 2016; Kish and Topol, 2015) and the inadequacy of existing informed consent and privacy protections (Sharon, 2016) are by now not only well recognized, but they are generating new forms of civic and political engagement and activism. This calls for more debate on what these new forms of data activism are and how scholars in the humanities and social science communities can assess them.
By relying on the approaches developed within the field of Techno-Anthropology (Børsen and Botin, 2013; Ruckenstein and Pantzar, 2015), seeking to translate and mediate knowledge concerning complex technoscientific projects and aims, we positioned ourselves as “outside insiders” with regard to a data-centric initiative called MyData. In 2014, we became observers and participants of the MyData, promoting the understanding that people benefit when they can control data gathering and analysis by public organizations and businesses and become more active data citizens and consumers. The high-level MyData vision, described in ‘the MyData white paper’ written primarily by researchers at the Helsinki Institute for Information Technology and the Tampere University of Technology (Poikola et al., 2015), outlines an alternative future that transforms the ’organisation-centric system‘ into ’a human-centric system‘ that treats personal data as a resource that the individual can access, control, benefit and learn from.
The paper discusses “our” data activism and the activism of technology developers, promoting and relying on two different kinds of “social imaginaries” (Taylor, 2004). By doing so, we open a perspective to data activism that highlights ideological and political underpinnings of contested social imaginaries and aims. Current data-driven initiatives tend to proceed with a social imaginary that treats data arrangements as solutions, or corrective measures addressing unsatisfactory developments. They advance a logic of an innovation culture, relying on the development of new technology structures and computationally intensive tools. This means that the data-driven initiatives rely on an engineering attitude that does not question the power of technological innovation for creating better societal solutions or, more broadly, the role of datafication in societal development. The main focus is on the correct positioning of technology: undesirable, or harmful developments need to be reversed, or redirected towards ethically more fair and responsible practices.
Since we do not possess impressive technology skills, or proficiency in legal and regulatory matters, which would have aligned us with the innovation-driven data activism, our position in the technology-driven data activism scene is structurally fairly weak. Our data activism is informed by a sensitivity to questions of cultural change and the critical stance representative to social scientific inquiry, questioning the optimistic and future-oriented social imaginary of technology developers. As will be discussed in our presentation, this means that our data activism is incompatible with those of technology developers in a profound sense, explaining why our activist role was repeatedly reduced to viewing a stream of diagrams on PowerPoint slides depicting databases and data flows. In terms of designing future data transfers and data flows, our social imaginary remained oddly irrelevant, intensifying the feeling that we were observing a moving target and our task was to simply keep up, while the engineers were busy doing to the real work of activists, developing approaches that give users more control over their personal data, such as the Kantara Initiative’s User-Managed Access (UMA) protocol, experimenting with Blockchain technologies for digital identities such as Sovrin, and learning about “Vendor Relationship Management” systems (see, Belli et al., 2017).
From the outsider position, we started to craft a narrative about the MyData initiative that aligns with our social imaginary. We wanted to push the conversation further, beyond the usual technological, legal and policy frameworks, and suggest that with its techno-optimism the current MyData work might actually weaken data activism and public support for it. We turned to literary and scholarly sources with the aim of opening a critical, but hopefully also a productive conversation about MyData in order to offer ideas of how to promote socially more robust data activism. A seminal text that shares aims of the MyData initiative is the Autonomous Technology – Technics-out-of-Control as a Theme in Political Thought (1978) by Langdon Winner. Winner perceives the relationship between human and technology in terms of Kantian autonomy: via analysis of interrelations of independence and dependence. The core ideas of the MyData vision have particular resonance with the way Winner (1978) considers “reverse adaptation”, wherein the human adapts to the power of the system and not the other way around.
In this paper, we first describe the MyData vision, as it has been presented by the activists, and situate it in the framework of technology critique and current critique of the digital culture and economy. Here, we demonstrate that the outside position can, in fact, resource a re-articulation of data activism. After this, we detail some further developments in the MyData scene and possibilities that have opened for dialogue and collaboration during our data activism journey. We end the discussion by noting that for truly promoting societally beneficial data arrangements, work is needed to circumvent the individualistic and data-centric biases of initiatives such as the MyData. We promote non-data-centric data activism that meshes critical thinking into the mundane realities of everyday practices and calls for historically informed and collectively oriented alternatives and action.
Overall, our goal is to demonstrate that with a focus on ordinary people, professionals and communities of practice, ethnographic methods and practice-based analysis can deepen understandings of datafication by revealing how data and its technologies are taken up, valued, enacted, and sometimes repurposed in ways that either do not comply with imposed data regimes, or mobilize data in inventive ways (Nafus & Sherman, 2014). By learning about everyday data worlds and actual material data practices, we can strengthen the understanding of how data technologies could become a part of promoting and enacting more responsible data futures. Paradoxically, in order to arrive to an understanding of how data initiatives support societally beneficial developments, non-data-centric data activism is called for. By aiming at non-data-centric data activism, we can continue to argue against triumphant data stories and technological solutionism in ways that are critical, but do not deny the possible value of digital data in future making. We will not try to protect ourselves against data forces but act imaginatively with and within them to develop new concepts, frameworks and collaborations in order to better steer them.
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