Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police

Research output: Contribution to conferenceConference abstract for conferenceResearch

Standard

Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police. / Pedersen, Anja Møller.

2024. Abstract from The discreet charm of prediction, Copenhagen, Denmark.

Research output: Contribution to conferenceConference abstract for conferenceResearch

Harvard

Pedersen, AM 2024, 'Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police', The discreet charm of prediction, Copenhagen, Denmark, 29/01/2024 - 30/01/2024.

APA

Pedersen, A. M. (2024). Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police. Abstract from The discreet charm of prediction, Copenhagen, Denmark.

Vancouver

Pedersen AM. Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police. 2024. Abstract from The discreet charm of prediction, Copenhagen, Denmark.

Author

Pedersen, Anja Møller. / Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police. Abstract from The discreet charm of prediction, Copenhagen, Denmark.

Bibtex

@conference{5edcecd86356456fac694e6fed8ae5b6,
title = "Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police",
author = "Pedersen, {Anja M{\o}ller}",
year = "2024",
language = "English",
note = "null ; Conference date: 29-01-2024 Through 30-01-2024",
url = "https://www.itu.dk/om-itu/events/events/2024/the-discreet-charm-of-prediction-understandings-of-digital-policing",

}

RIS

TY - ABST

T1 - Algorithmically generated suspicion: Introducing intelligence-led and predictive policing to the Danish National Police

AU - Pedersen, Anja Møller

PY - 2024

Y1 - 2024

M3 - Conference abstract for conference

Y2 - 29 January 2024 through 30 January 2024

ER -

ID: 381561878