Tuesday, 1 October 2019

Datafied knowledge production: practices, mechanisms and imaginaries at work in big data analyses

Special Theme Issue
Guest lead editors: Nanna Bonde Thylstrup*, Mikkel Flyverbom**, Rasmus Helles***

* Aarhus University
** Copenhagen Business School
*** University of Copenhagen

Digital transformations, such as datafication and algorithmic sorting, create new conditions for how we come to see, know, feel and act. This special issue explores the intersections between digital transformations and knowledge production by asking questions such as: what does datafied knowledge production look like? Which digital infrastructures support its future development? And what potentialities and limits do datafied forms of analysis and knowledge production contain? The responses we offer include the suggestion that while the resources, material features and analytical operations involved in datafied knowledge production may be different, many fundamental concerns about epistemology, ontology and methods remain relevant to understand what shapes it. By seeking to understand and explicate such assumptions, operations and consequences, the articles in this special issue sketch the contours of knowledge production in a digital and datafied world.

Editorial: Datafied Knowledge Production
Nanna Bonde Thylstrup, Mikkel Flyverbom, Rasmus Helles

Datastructuring—Organizing and curating digital traces into action
Mikkel Flyverbom and John Murray

Data out of place: data waste and the politics of data recycling
Nanna Bonde Thylstrup

Make data sing: The automation of storytelling
Kristin Veel

The optical unconscious of Big Data: Datafication of vision and care for unknown futures
Daniela Agostinho

Data in the smart city: How incongruent frames challenge the transition from ideal to practice
Anders Koed Madsen

Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media
Anja Bechmann and Geoffrey C Bowker