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Connected Life 2019 – Data & Disorder
June 24 - June 25
A two-day multidisciplinary conference supported by the Oxford Internet Institute (OII), London School of Economics and Political Science (LSE), and the Alan Turing Institute (ATI) Monday 24th June (Oxford) & Tuesday 25th June (London) Organising Committee: Yung Au, Tomas Borsa and Fabian Ferrari Website E-mail Call in pdf form Connected Life 2019 Data & Disorder will provide an engaging forum for a cross-disciplinary network of researchers from around the world to consider the broad societal implications of automated data collection, processing, and analysis in all facets of daily life. In recent years, a growing body of literature has exposed the myriad impacts of ubiquitous computing and data collection, including the reinforcement of bias through search engines and data mining, the impacts of predictive risk modelling and automated decision-making on marginalised communities, and the relationship between quantification, surveillance and precarious labour. Amidst a backdrop in which the very bounds of public life can seem to contort with an unfamiliar and frenetic energy – and in which the destabilisation of established institutions has allowed the politics of until-recently peripheral movements to creep nearer to normalisation – this student-led conference aims to provide a framework for critical reflection on the datafication of social life and order. In an effort to include diverse and uncommon perspectives from across the intellectual spectrum, the organising committee of Connected Life 2019 Data & Disorder welcomes proposals and expressions of interest from postgraduate students and faculty from all departments, including but not limited to business, computer science, digital humanities, economics, education, history, international relations, law, linguistics, literature, media and communications, philosophy, politics, psychology, and sociology. We further welcome the submission of proposals in a variety of formats, be they empirical, theoretical, qualitative, or quantitative in nature. Proposals from individual authors are welcomed alongside those from multiple contributors. While these categories are intended only as general guidance, proposals that address the overarching theme of Data & Disorder may include:
- AI, automation and labour
- Algorithmic power and emergent forms of social control
- Data abundance
- Data and (anti-) social media
- Data justice and normative approaches to datafication
- Data refusal and digital detoxing
- Digital media and network infrastructures
- Discrimination and inequalities
- Information/data and modern conflict
- Media, big data, and the future of journalism
- Platform capitalism and the gig economy
- Presence in an era of perpetual update
- Sovereignty and platform governance
- Subversive data, social movements, and resistance
- Surveillance and policing
- The politics of algorithms and machine learning
- Weaponized AI
Guidelines for abstract submission:
- Abstracts must be submitted as a Word document in .doc format or as a PDF, and contain the name(s) of the author(s) to this mail:
- Please indicate whether you have a preference for presenting in Oxford on the 24th of June or in London on the 25th of June
- Please also include 5 to 6 research keywords for your abstract (for example: big data, ethics, surveillance, ethnography, Foucault)
- Abstracts must be received by the extended deadline of 12 April 2019.
- Abstracts must be written in English and may not exceed 250 words.
- All work must be the author’s own.
- Submissions will be subject to a process of blind peer review by a committee and authors will be notified of the status of their submission shortly after the deadline.
- All authors with accepted abstracts will be invited to submit an extended version of their paper for the conference proceedings.