Lisa Reutter
About
Interests
Datafication, STS, machine learning, digital infrastructures, algorithmic governance, data-driven welfare state, public administration, technology and social power, ethnography.
Research
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.
I have also conducted 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.
Publications
2022
-
Broomfield, Heather;
Reutter, Lisa Marie.
(2022)
In search of the citizen in the datafication of public administration.
Big Data and Society.
volum 9 (1).
Academic article
-
Reutter, Lisa Marie.
(2022)
Constraining context: Situating datafication in public administration.
New Media & Society.
volum 24 (4).
Academic article
2021
-
Aasback, Anne Wullum;
Reutter, Lisa Marie.
(2021)
Kunstig intelligens i sosialt arbeid.
Fontene. Et tidsskrift for Fellesorganisasjonen (FO).
Popular scientific article
-
Broomfield, Heather;
Reutter, Lisa Marie.
(2021)
Towards a Data-Driven Public Administration: An Empirical Analysis of Nascent Phase Implementation.
Scandinavian Journal of Public Administration.
volum 25 (2).
Academic article
-
Reutter, Lisa Marie.
(2021)
Forskningsetikk og personvern.
En smak av forskning. Bacheloroppgaven som prosjekt, prosess og produkt.
publications.POPVIT_KAPITTEL
-
Tønnesen, Hedvig;
Reutter, Lisa Marie;
Magin, Melanie.
(2021)
Når alt vi gjør registreres og systematiseres: Stordata i hverdagen.
Den digitale hverdagen.
publications.POPVIT_KAPITTEL
2020
-
Reutter, Lisa Marie;
Grolid, Stina Åshildsdatter.
(2020)
Kunstig intelligens.
Nasjonal Digital Læringsarena. 2020.
Digital teaching aids
2019
-
Reutter, Lisa Marie.
(2019)
Kun en av fem offentlige virksomheter bruker kunstig intelligens – og det er kanskje bra!.
Digi.no.
Chronicle
-
Reutter, Lisa Marie;
Spilker, Hendrik Storstein.
(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.
Academic chapter/article
Scientific articles
-
Broomfield, Heather;
Reutter, Lisa Marie.
(2022)
In search of the citizen in the datafication of public administration.
Big Data and Society.
volum 9 (1).
Academic article
-
Reutter, Lisa Marie.
(2022)
Constraining context: Situating datafication in public administration.
New Media & Society.
volum 24 (4).
Academic article
-
Broomfield, Heather;
Reutter, Lisa Marie.
(2021)
Towards a Data-Driven Public Administration: An Empirical Analysis of Nascent Phase Implementation.
Scandinavian Journal of Public Administration.
volum 25 (2).
Academic article
Journal publications
-
Aasback, Anne Wullum;
Reutter, Lisa Marie.
(2021)
Kunstig intelligens i sosialt arbeid.
Fontene. Et tidsskrift for Fellesorganisasjonen (FO).
Popular scientific article
-
Reutter, Lisa Marie.
(2019)
Kun en av fem offentlige virksomheter bruker kunstig intelligens – og det er kanskje bra!.
Digi.no.
Chronicle
Part of book/report
-
Reutter, Lisa Marie.
(2021)
Forskningsetikk og personvern.
En smak av forskning. Bacheloroppgaven som prosjekt, prosess og produkt.
publications.POPVIT_KAPITTEL
-
Tønnesen, Hedvig;
Reutter, Lisa Marie;
Magin, Melanie.
(2021)
Når alt vi gjør registreres og systematiseres: Stordata i hverdagen.
Den digitale hverdagen.
publications.POPVIT_KAPITTEL
-
Reutter, Lisa Marie;
Spilker, Hendrik Storstein.
(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.
Academic chapter/article
Teaching
Courses
Media
2022
-
InterviewReutter, Lisa Marie. (2022) Ingenting å skjule: registerovervåking. Datatilsynet [Radio]. 2022-01-21.
2021
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LectureReutter, Lisa Marie. (2021) Lærende maskiner, klokere forvaltning? Om bruk og implementering av maskinlæring i norsk offentlig sektor. eForvaltningskonferansen ; 2021-03-15 - 2021-03-15.
2020
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Popular scientific lectureReutter, Lisa Marie. (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.
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Academic lectureSpilker, Hendrik Storstein; Reutter, Lisa Marie; Broomfield, Heather; Aasback, Anne Wullum; Dahl-Jørgensen, Tangni Cunningham. (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
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Academic lectureReutter, Lisa Marie. (2019) Machine Learners: Towards a data-driven Norwegian Labor and Welfare Administration. Nordic STS Conference ; 2019-06-13 - 2019-06-14.