Lisa Reutter
Background and activities
Interests
Datafication, STS, machine learning, digital infrastructures, algorithmic governance, data-driven welfare state, public administration, technology and social power, ethnography.
PhD project
I am part of the DICE research group. I am researching the datafication of public administration in Norway.
Platforms, big data and machine learning signal promises of a profound digital transformation, that will impact all aspects of the welfare state and the services it provides to citizens and society. I am following several machine learning projects in the public sector in an attempt to obtain a better understanding of the supposed data-driven future the Norwegian welfare state is heading towards. Which values are programmed into the socio-technological assemblage of smart digital infrastructures? Moreover, are we soon governed by techno-rational cyborg-bureaucrats? While industry insiders regard machine learning as a truly innovative way to personalize the welfare state and empower citizens, researchers stress the techno-rationality, surveillance and unpredictable power the automation of bureaucracy fosters. Through ethnographic encounters with the inner workings of machine learning production in the Norwegian public sector, I intend to open the data-driven black box.
Currently I am also working on a general mapping of the Norwegian public sector's work on AI/data science together with Difi and UiO. In the course of my PhD, I have collaborated on several projects with Heather Broomfield
Spend January and February of 2022 as a visiting PhD scholar at the Data Justice Lab at Cardiff University.
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
Journal publications
- (2022) In search of the citizen in the datafication of public administration. Big Data and Society. vol. 9 (1).
- (2022) Constraining context: Situating datafication in public administration. New Media & Society. vol. 24 (4).
- (2021) Kunstig intelligens i sosialt arbeid. Fontene. Et tidsskrift for Fellesorganisasjonen (FO).
- (2021) Towards a Data-Driven Public Administration: An Empirical Analysis of Nascent Phase Implementation. Scandinavian Journal of Public Administration. vol. 25 (2).
- (2019) Kun en av fem offentlige virksomheter bruker kunstig intelligens – og det er kanskje bra!. Digi.no.
Part of book/report
- (2021) Forskningsetikk og personvern. En smak av forskning. Bacheloroppgaven som prosjekt, prosess og produkt.
- (2021) Når alt vi gjør registreres og systematiseres: Stordata i hverdagen. Den digitale hverdagen.
- (2019) The Quest for Workable Data - Building Machine Learning Algorithms from Public Sector Archives. The Democratization of Artificial Intelligence - Net Politics in the Era of Learning Algorithms.
Others
- (2022) Ingenting å skjule: registerovervåking. Datatilsynet [Radio]. 2022-01-21.
- (2021) Lærende maskiner, klokere forvaltning? Om bruk og implementering av maskinlæring i norsk offentlig sektor. eForvaltningskonferansen ; 2021-03-15 - 2021-03-15.
- (2020) Et kunstig intelligent samfunn – Hvordan skal din digitale fremtid egentlig se ut?. Researchers' Night Live 2020 . Forskningsdagene NTNU; 2020-10-25 - 2020-10-25.
- (2020) Kunstig intelligens. Nasjonal Digital Læringsarena. 2020.
- (2020) DATAFICATION IN THE PUBLIC SECTOR: EXPLORING THE BORDERS BETWEEN PUBLIC SERVICES AND CITIZENS. Association of Internet Researchers Conference 2020 . AoIR; Dublin/digital. 2020-10-27.
- (2019) Machine Learners: Towards a data-driven Norwegian Labor and Welfare Administration. Nordic STS Conference ; 2019-06-13 - 2019-06-14.