This issue of APRJA examines the implications of datafication for research.  The articles provide responses that outsmart and outplay the logic of capturing everything applied by the corporate as well as scientific communities. Each in their own way they address the complexity af 'capture', and examine datafication’s connection to commodification (and even to zombification), and examine alternatives such as obfuscation in order to know and unknow things at different registers and scales – from the grain of data to big data, the materiality of data and the politics of data structures, or in other ways afforded by emergent practices of datafied research. 

Published: 2015-06-01

Full Issue