Mapping the Automated Decision-Making Landscape in the Danish Welfare State: Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF).

Research output: Book/Report › Report › Research

Standard

Mapping the Automated Decision-Making Landscape in the Danish Welfare State : Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). . / Bagger, Christoffer; Schwarz, Benjamin ; Jørgensen, Rikke Frank; Lomborg, Stine; Søe, Sille Obelitz; Neumayer, Christina.

Københavns Universitet, 2023. 22 p.

Research output: Book/Report › Report › Research

Harvard

Bagger, C, Schwarz, B, Jørgensen, RF, Lomborg, S, Søe, SO & Neumayer, C 2023, Mapping the Automated Decision-Making Landscape in the Danish Welfare State: Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). . Københavns Universitet.

APA

Bagger, C., Schwarz, B., Jørgensen, R. F., Lomborg, S., Søe, S. O., & Neumayer, C. (2023). Mapping the Automated Decision-Making Landscape in the Danish Welfare State: Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). . Københavns Universitet.

Vancouver

Bagger C, Schwarz B, Jørgensen RF, Lomborg S, Søe SO, Neumayer C. Mapping the Automated Decision-Making Landscape in the Danish Welfare State: Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). . Københavns Universitet, 2023. 22 p.

Author

Bagger, Christoffer ; Schwarz, Benjamin ; Jørgensen, Rikke Frank ; Lomborg, Stine ; Søe, Sille Obelitz ; Neumayer, Christina. / Mapping the Automated Decision-Making Landscape in the Danish Welfare State : Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). . Københavns Universitet, 2023. 22 p.

Bibtex

@book{55176b64d2664b3c8d7dfd9a33abed40,
title = "Mapping the Automated Decision-Making Landscape in the Danish Welfare State: Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). ",
abstract = "This report was fashioned as a working paper for the CHANSE-Funded researchconsortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). Reference Number: CHANSE-546. Special thanks to Benjamin Havemann Collins, who carried out the initial search and database preparation for this report, to Christine Vibeke Klein-Nielsen for preparing the part concerning Danish signature projects, and to Sne Scott Hansen for piloting all of this work with a mapping of the Danish ADM landscape in 2020 as part of the ADMNordic network.Overview of the Landscape:- Of the 98 Danish Municipalities (Kommuner), 37 have either ADM projects, smart city projects or both. The majority of these existing municipal projects (n=24) were launched from 2019 onwards.- A Total of 103 public ADM projects were located across Denmark. The domain of health or healthcare has the largest number of projects (n=40).- Ten (10) biosensing initiatives are anchored in Denmark. Key Insights:- Many ADM projects focus on healthcare (n=40).- Finished pilot projects as well as abandoned or possibly decommissioned projects are usually not evident via municipal or regional websites, and the existence of many projects was only indicated by finding mention of them via external sources (e.g. news sites). - This indicates that projects of public automation might go “below the radar”.- The majority of communal welfare projects were concerned with themes of energy efficiency, environmental surveillance, or agriculture.",
author = "Christoffer Bagger and Benjamin Schwarz and J{\o}rgensen, {Rikke Frank} and Stine Lomborg and S{\o}e, {Sille Obelitz} and Christina Neumayer",
year = "2023",
language = "Dansk",
publisher = "K{\o}benhavns Universitet",

}

RIS

TY - RPRT

T1 - Mapping the Automated Decision-Making Landscape in the Danish Welfare State

T2 - Working Paper #01 of the CHANSE-funded research consortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF).

AU - Bagger, Christoffer

AU - Schwarz, Benjamin

AU - Jørgensen, Rikke Frank

AU - Lomborg, Stine

AU - Søe, Sille Obelitz

AU - Neumayer, Christina

PY - 2023

Y1 - 2023

N2 - This report was fashioned as a working paper for the CHANSE-Funded researchconsortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). Reference Number: CHANSE-546. Special thanks to Benjamin Havemann Collins, who carried out the initial search and database preparation for this report, to Christine Vibeke Klein-Nielsen for preparing the part concerning Danish signature projects, and to Sne Scott Hansen for piloting all of this work with a mapping of the Danish ADM landscape in 2020 as part of the ADMNordic network.Overview of the Landscape:- Of the 98 Danish Municipalities (Kommuner), 37 have either ADM projects, smart city projects or both. The majority of these existing municipal projects (n=24) were launched from 2019 onwards.- A Total of 103 public ADM projects were located across Denmark. The domain of health or healthcare has the largest number of projects (n=40).- Ten (10) biosensing initiatives are anchored in Denmark. Key Insights:- Many ADM projects focus on healthcare (n=40).- Finished pilot projects as well as abandoned or possibly decommissioned projects are usually not evident via municipal or regional websites, and the existence of many projects was only indicated by finding mention of them via external sources (e.g. news sites). - This indicates that projects of public automation might go “below the radar”.- The majority of communal welfare projects were concerned with themes of energy efficiency, environmental surveillance, or agriculture.

AB - This report was fashioned as a working paper for the CHANSE-Funded researchconsortium “Automating Welfare - Algorithmic Infrastructures for Human Flourishing in Europe” (AUTO-WELF). Reference Number: CHANSE-546. Special thanks to Benjamin Havemann Collins, who carried out the initial search and database preparation for this report, to Christine Vibeke Klein-Nielsen for preparing the part concerning Danish signature projects, and to Sne Scott Hansen for piloting all of this work with a mapping of the Danish ADM landscape in 2020 as part of the ADMNordic network.Overview of the Landscape:- Of the 98 Danish Municipalities (Kommuner), 37 have either ADM projects, smart city projects or both. The majority of these existing municipal projects (n=24) were launched from 2019 onwards.- A Total of 103 public ADM projects were located across Denmark. The domain of health or healthcare has the largest number of projects (n=40).- Ten (10) biosensing initiatives are anchored in Denmark. Key Insights:- Many ADM projects focus on healthcare (n=40).- Finished pilot projects as well as abandoned or possibly decommissioned projects are usually not evident via municipal or regional websites, and the existence of many projects was only indicated by finding mention of them via external sources (e.g. news sites). - This indicates that projects of public automation might go “below the radar”.- The majority of communal welfare projects were concerned with themes of energy efficiency, environmental surveillance, or agriculture.

M3 - Rapport

BT - Mapping the Automated Decision-Making Landscape in the Danish Welfare State

PB - Københavns Universitet

ER -

ID: 343294652