Topologies of Digital Work
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Published By Springer International Publishing

9783030803261, 9783030803278

2021 ◽  
pp. 173-196
Author(s):  
Calle Rosengren ◽  
Ann Bergman ◽  
Kristina Palm
Keyword(s):  

2021 ◽  
pp. 263-283
Author(s):  
Caroline Roth-Ebner ◽  
Mascha Will-Zocholl

AbstractThe evolution of digital information and communication technologies has had a large impact on the topologies of work. Contrary to popular belief, this does not lead to work becoming placeless. The contributions in this volume reveal that the geographical location and places of work still matter in the globalised and digitised world of work. Places are used more flexibly, and the geographical, political, cultural or knowledge aspects inscribed upon them remain effective.


2021 ◽  
pp. 77-101
Author(s):  
Brett Neilson ◽  
Ned Rossiter

AbstractData politics traffics through data centres. A primary function of data centres over the next decades will consist of supporting the transition to automated economies with the integration of artificial intelligence,machine learningand robotics into processes of capital valorisation and accumulation. Stemming from a project that investigates data centres in Asia, this contribution positions the age of automation in terms of the spatial politics of data infrastructures. Singapore is renowned as a growth centre for data storage facilities in Asia. Yet the policy literature on smart nations lacks narratives that address the political and social problem of job loss precipitated by automated futures. Because data centres are themselves automated environments and provide infrastructure that enables automation in workplaces spread across geographical scales, they offer a strategic object for research on the varied implications of automation for labour. The extent to which data centres make worlds and reconfigure regions bears upon conceptualisations of sovereign power harnessed to the state. This contribution maintains that an emergent sovereign form registers in the operational logic of computational machines special to data centres.


2021 ◽  
pp. 19-50
Author(s):  
Andrey Shevchuk ◽  
Denis Strebkov ◽  
Alexey Tyulyupo

2021 ◽  
pp. 225-259
Author(s):  
Ingrid Nappi ◽  
Gisele de Campos Ribeiro
Keyword(s):  

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