Situating Data: Inquiries in Algorithmic Culture - Couverture souple

 
9781041186168: Situating Data: Inquiries in Algorithmic Culture

Synopsis

Taking up the challenges of the datafication of culture, as well as of the scholarship of cultural inquiry itself, this collection contributes to the critical debate about data and algorithms. How can we understand the quality and significance of current socio-technical transformations that result from datafication and algorithmization? How can we explore the changing conditions and contours for living within such new and changing frameworks? How can, or should we, think and act within, but also in response to these conditions?, This collection brings together various perspectives on the datafication and algorithmization of culture from debates and disciplines within the field of cultural inquiry, specifically (new) media studies, game studies, urban studies, screen studies, and gender and postcolonial studies. It proposes conceptual and methodological directions for exploring where, when, and how data and algorithms (re)shape cultural practices, create (in)justice, and (co)produce knowledge

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Karin van Es is Associate Professor of Media and Culture Studies and project lead Humanities at Data School, both at Utrecht University. Nanna Verhoeff is Professor of Screen Cultures and Society in the Department of Media and Culture Studies at Utrecht University. She initiated the research group [urban interfaces] and is co-lead of the Open Cities platform at Utrecht University. Her research on urban media combines perspectives from (digital) media and performance studies contributes to the interdisciplinary methodological development of the creative humanities.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9789463722971: Situating Data

Edition présentée

ISBN 10 :  9463722971 ISBN 13 :  9789463722971
Editeur : Routledge, 2023
Couverture rigide