Message posted on 18/06/2020
Reminder: CfP: Special issue on feminist data protection, Internet Policy Review, 26/06/2020
CfP: Special issue of Internet Policy Review on 'feminist data protection' <br> <br>Deadline for abstracts: 26 June 2020 <br> <br>More information and dates: <br> <br> <br>Topic and relevance <br>===================== <br>The notion of data protection is now an integral part of legal and <br>political discourse in Europe, as exemplified by the inclusion of a <br>right to data protection in the EU’s Charter of Fundamental Rights. Yet <br>there have been relatively few engagements in thinking and framing data <br>protection from an explicitly feminist perspective. This stands in stark <br>contrast to the notion of privacy, with which data protection is often <br>conflated and which has been the subject of extensive feminist critique <br>and exploration, particularly insofar as it relates to the distinction <br>between public and private spheres (e.g., Allen, 1988; MacKinnon, 1989; <br>Bhattacharjee, 1997; DeCew, 2015; Weinberg, 2017). The starting point of <br>this Special Issue is that the notion of data protection, once <br>disentangled from privacy (González Fuster, 2014), warrants further <br>examination from a perspective of intersectional (Crenshaw, 1991) feminism. <br> <br>Data protection may be understood by considering the power imbalance <br>with which individuals are confronted when data about them are processed <br>(de Hingh, 2018): public and private entities can collect data without <br>the individuals’ knowledge and it is hardly possible for individuals to <br>control their data, once collected (Steinmüller et al., 1971). The <br>processing of data thereby creates inherent risks for individuals – <br>particularly so for those already marginalised or subject to <br>discrimination (e.g., Noble, 2018; Chander, 2020; Gandy, 2010; Guzik, <br>2009; de Vries, 2010) – and may further exacerbate the distribution of <br>power in our societies. Thus, data protection, like feminism, aims at <br>theorising and changing structural inequalities and power relations. <br>Scope of the Special Issue <br> <br>We wish to discuss these structural issues as well as potential answers <br>through the lens of emancipatory approaches, such as feminist, queer, <br>Marxist, post-colonial, critical race or disability studies <br>perspectives, from all relevant disciplines. Contributions focussing on <br>the intersection of different oppressive structures (i.e. not only <br>gender but also racialisation, class, marginalisation of religious <br>minorities, etc.) are particularly welcome. <br> <br>We invite submissions on the topic of feminist and other emancipatory <br>approaches to data protection addressing the power imbalance faced by <br>individuals, especially with regard to discrimination, marginalisation <br>and oppression. We are interested in a wide variety of perspectives on <br>the intersections between feminism and data protection, both in Europe <br>and beyond, whether they are focused on mutual critique or on how either <br>can benefit from the other and what their common or related aims could <br>be (Peña & Varon, 2019). Topics of interest include, but are not limited to: <br> <br>- Data protection and privacy: How to analyse the relation between these <br>“positive” notions in one discourse and the negative image of private <br>spaces whose “legal vacuum” facilitates the exploitation of structural <br>inequalities? How can these notions be brought into a dialogue, and <br>which lessons can be learnt from history (Lake, 2016)? <br> <br>- Data activism, data justice, digital rights, and feminism: Around <br>which issues are European and worldwide feminist initiatives focusing on <br>data processing practices emerging? Which are the tensions or <br>intersections between such initiatives and data protection? <br> <br>- Countering illegitimate data processing: How are women and <br>marginalised groups targeted in the political economy of data gathering <br>(McEwen, 2018)? How can they profit from the networking effects of <br>social networks in order to organise while being protected from the <br>fallout inherent in their capitalist business models, i.e. tracking and <br>profiling? <br> <br>- Surveillance: How is technology developed and used to oppress certain <br>groups (Browne, 2015)? What are the dangers disproportionately affecting <br>women, especially women of colour, in the context of surveillance <br>(Gandy, 2010; Guzik, 2009; Lyon, 2003)? How could or should surveillance <br>be avoided, subverted or countered? <br> <br>- Artificial intelligence (AI) and ‘big data’: Should these practices be <br>conceived of as a form of automated and inherent discrimination or as <br>tools for visualising and countering existent discrimination? What <br>biases are built into them, and what are their regulatory effects <br>(Buolamwini & Gebru, 2018)? And how does data protection fit into <br>proposed ways forward (i.e. ‘AI ethics’?) <br> <br>- Online gender ascription: How is information about gender being <br>collected and processed (Bivens, 2017)? Which parameters determine <br>gender ascription in so-called Automated Gender Recognition (AGR) <br>technologies? Is the gender identity of individuals (including <br>non-binary persons) respected, and how could data protection law further <br>this cause? <br> <br>- Practices of categorisation and (mis)representation: How are gendered <br>categories constructed, by which actors, and what is their impact, <br>particularly for oppressed groups such as women or trans and non-binary <br>people (Keyes, 2019)? How are biases and stereotypes built into data <br>systems, and how should we respond to this? How can algorithms and <br>protocols not only be designed but also used in line with principles of <br>fairness and non-discrimination? <br> <br>- Data processing and identity formation: What role do notions such as <br>the (male) gaze, visibility, hiding, deception, outing, and <br>performativity play in the context of data processing and reproduction <br>of gender norms and gendered identities (Abu-Laban, 2015; González <br>Fuster et al., 2015; Beauchamp, 2019)? Can and should data protection <br>intervene in such processes? <br> <br>- Data subjects and rights: Can we rethink notions of data protection <br>law in ways which go beyond the neoliberal focus on the ostensibly <br>gender-neutral, self-determining individual? How to effectively <br>complement data subject rights (e.g., group rights, or other languages <br>of resistance) without falling into identity traps? <br> <br>Special Issue Editors <br>===================== <br>Regina Ammicht Quinn, Andreas Baur, Felix Bieker, Gloria González <br>Fuster, Marit Hansen, Jens T. Theilen <br> <br>For any editorial inquiry, please email us at: <br>feministdataprotection@izew.uni-tuebingen.de <br> <br> <br>-- <br>Andreas Baur <br>Research Associate <br> International Centre for Ethics in the Sciences and Humanities (IZEW) <br> University of Tübingen · Wilhelmstr. 19 · 72074 Tübingen · Germany <br> Phone +49 7071 29-77988 · https://uni-tuebingen.de/izew <br>PhD Candidate <br> Amsterdam Institute for Social Science Research (AISSR) <br> University of Amsterdam · https://aissr.uva.nl <br>a.baur@uni-tuebingen.de · a.baur@uva.nl <br> <br>_______________________________________________ <br>EASST's Eurograd mailing list <br>Eurograd (at) lists.easst.net <br>Unsubscribe or edit subscription options: http://lists.easst.net/listinfo.cgi/eurograd-easst.net <br> <br>Meet us via https://twitter.com/STSeasst <br> <br>Report abuses of this list to Eurograd-owner@lists.easst.netview formatted text
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