Reblog> Good Data: Call for Proposals for Theory on Demand edited book

From the Institute of Network Cultures:

Good Data: Call for Proposals for an INC Theory on Demand edited book

Editors: Angela Daly (Queensland University of Technology), Kate Devitt (Queensland University of Technology) & Monique Mann (Queensland University of Technology).

In recent years, there has been an exponential increase in the collection, aggregation and automated analysis of information by government and private actors, and in response to this there has been a significant critique regarding what could be termed ‘bad’ data practices in the globalised digital economy. These include the mass gathering of data about individuals, in opaque, unethical and at times illegal ways, and the increased use of that data in unaccountable and potentially discriminatory forms of algorithmic decision-making by both state agencies and private companies. Issues of data ethics and data justice are only likely to increase in importance given the totalizing datafication of society and the introduction of new technologies such as artificial intelligence and automation.

In order to paint an alternative, more optimistic but still pragmatic picture of the datafied future, this open access edited collection will examine and propose what could be termed ‘good’ and ‘ethical’ data practices, underpinned by values and principles such as (but not limited to):

  • privacy/regulation/information security by design
  • due process rights
  • procedural legitimacy
  • the protection of individual and collective autonomy
  • digital sovereignty
  • digital anti-discrimination
  • data and intersectionality
  • ethical labour practices
  • environmental sustainability.

Chapters should be short contributions (2500-5000 words) which can take differing forms, for example:

  • Manifestos for Good Data
  • Position papers
  • Traditional academic chapters

Chapters can be theoretical takes or provocations on what Good Data is or should be, or can be case studies of particular Good Data projects and initiatives e.g. Indigenous data sovereignty initiatives, data cooperatives etc. Chapters can also be critiques of initiatives/movements which claim to be ethical but in fact fall short. All chapters, including academic ones, should be written in an accessible way and avoid the excessive use of jargon, etc. Academic chapters will be peer-reviewed. Other contributions will be editor-reviewed.

We encourage contributions from throughout the world and from different disciplinary perspectives: philosophy, media and communications, cultural studies, STS, law, criminology, information systems, computer science etc.

Proposals for chapters (up to 250 words) should be sent to Kayleigh Hodgkinson Murphy (kayleigh.murphy@qut.edu.au) by Friday 15 December 2017. Please include a brief biography (academic/practitioner) and signal what kind of chapter you are proposing (manifesto/academic chapter, etc).

If you have an idea for a chapter and want to discuss it before submitting a proposal, please contact Angela Daly (angela.daly@qut.edu.au) as soon as possible. We may be able to pair, for example, practitioners with academic authors on request.

Decisions on proposals will be made by mid-January 2017, with a first full draft of chapters to be submitted by 31 March 2018. We anticipate the book will be finalized and launched in late 2018, as part of the Institute of Network Cultures’ Theory on Demand series.

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