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Nele Prinz

Ph.d. Fellow

Om

E-mail
Departments
Institut for Ledelse, Samfund og Kommunikation
Room: DH.V.2.09
Emner
Big data Kunstig intelligens Teknologi Samfund Filosofi

Primary research areas

Di­git­al twins
Di­git­al twins, while not nov­el phe­nom­ena, have gained trac­tion due to ad­vance­ments in data-driv­en tech­no­lo­gies. I am in­ter­ested in study­ing di­git­al twins as polit­ic­al tech­no­lo­gies to un­der­stand in what ways datafic­a­tion re­con­fig­ures lo­gics and prac­tices of gov­ernance.
Al­gorithmic Gov­ern­ment­al­ity
The the­ory of al­gorithmic gov­ern­ment­al­ity de­scribes a form of gov­ernance that re­places tra­di­tion­al tech­niques of rule through al­gorithmic pro­cessing of large data­sets. It op­er­ates through three stages: Data col­lec­tion (data­veil­lance), ag­greg­a­tion (datamin­ing), and ana­lys­is (al­gorithmic pro­fil­ing).
Fem­in­ist Tech­nos­cience
With a fem­in­ist ap­proach, my re­search is guided by the as­sump­tion that tech­no­lo­gic­al de­vel­op­ment is em­bed­ded in his­tor­ic­al con­tinu­it­ies and power re­la­tions of pat­ri­archy and co­lo­ni­al­ism,

In­ter­rog­at­ing power in emer­ging tech­no­lo­gies

My research is guided by the assumption that emerging technologies are never neutral, new, or immaterial, but deeply embedded in societies, ecologies, historical (dis-)continuities and normative assumptions. Grounded in political theory and Critical Data Studies, I explore how digital technologies reconfigure political rationalities and practices by drawing upon digital twins.

Prior to CBS, I completed a BA and MA in International and European Governance at the University of Münster and Sciences Po Lille with a focus on Politics, Philosophy, and Economy.