Data Driven Futures of International Refugee Law

Research output: Working paper › Research › peer-review

Standard

Data Driven Futures of International Refugee Law. / Byrne, William Hamilton; Gammeltoft-Hansen, Thomas; Piccolo, Sebastiano Antonio; Møller, Naja Holten; Slaats, Tijs; Katsikouli, Panagiota.

Copenhagen University, 2023. p. 1-40.

Research output: Working paper › Research › peer-review

Harvard

Byrne, WH, Gammeltoft-Hansen, T, Piccolo, SA, Møller, NH, Slaats, T & Katsikouli, P 2023 'Data Driven Futures of International Refugee Law' Copenhagen University, pp. 1-40. https://doi.org/10.31235/osf.io/g38c9

APA

Byrne, W. H., Gammeltoft-Hansen, T., Piccolo, S. A., Møller, N. H., Slaats, T., & Katsikouli, P. (2023). Data Driven Futures of International Refugee Law. (pp. 1-40). Copenhagen University. MOBILE Working Paper Series No. 1 https://doi.org/10.31235/osf.io/g38c9

Vancouver

Byrne WH, Gammeltoft-Hansen T, Piccolo SA, Møller NH, Slaats T, Katsikouli P. Data Driven Futures of International Refugee Law. Copenhagen University. 2023, p. 1-40. https://doi.org/10.31235/osf.io/g38c9

Author

Byrne, William Hamilton ; Gammeltoft-Hansen, Thomas ; Piccolo, Sebastiano Antonio ; Møller, Naja Holten ; Slaats, Tijs ; Katsikouli, Panagiota. / Data Driven Futures of International Refugee Law. Copenhagen University, 2023. pp. 1-40 (MOBILE Working Paper Series; No. 1).

Bibtex

@techreport{f8397306790d4658affb86439385b296,
title = "Data Driven Futures of International Refugee Law",
abstract = "As refugee law practice enters the world of data, it is time to take stock as to what refugee law research can gain from technological developments. This article provides an outline for a computationally driven research agenda to tackle refugee status determination variations as a recalcitrant puzzle of refugee law. It firstly outlines how the growing field of computational law may be canvassed to conduct legal research in refugee studies at a greater empirical scale than traditional legal methods. It then turns to exemplify the empirical purchase of a data driven approach to refugee law through an analysis of the Danish Refugee Appeal Board{\textquoteright}s asylum case law and outlines methods for comparison with datasets from Australia, Canada and the United States. The article concludes by addressing the data politics arising from a turn to digital methods, and how these can be confronted through insights from critical data studies and reflexive research practices.",
author = "Byrne, {William Hamilton} and Thomas Gammeltoft-Hansen and Piccolo, {Sebastiano Antonio} and M{\o}ller, {Naja Holten} and Tijs Slaats and Panagiota Katsikouli",
year = "2023",
doi = "10.31235/osf.io/g38c9",
language = "English",
series = "MOBILE Working Paper Series",
publisher = "Copenhagen University",
number = "1",
pages = "1--40",
type = "WorkingPaper",
institution = "Copenhagen University",

}

RIS

TY - UNPB

T1 - Data Driven Futures of International Refugee Law

AU - Byrne, William Hamilton

AU - Gammeltoft-Hansen, Thomas

AU - Piccolo, Sebastiano Antonio

AU - Møller, Naja Holten

AU - Slaats, Tijs

AU - Katsikouli, Panagiota

PY - 2023

Y1 - 2023

N2 - As refugee law practice enters the world of data, it is time to take stock as to what refugee law research can gain from technological developments. This article provides an outline for a computationally driven research agenda to tackle refugee status determination variations as a recalcitrant puzzle of refugee law. It firstly outlines how the growing field of computational law may be canvassed to conduct legal research in refugee studies at a greater empirical scale than traditional legal methods. It then turns to exemplify the empirical purchase of a data driven approach to refugee law through an analysis of the Danish Refugee Appeal Board’s asylum case law and outlines methods for comparison with datasets from Australia, Canada and the United States. The article concludes by addressing the data politics arising from a turn to digital methods, and how these can be confronted through insights from critical data studies and reflexive research practices.

AB - As refugee law practice enters the world of data, it is time to take stock as to what refugee law research can gain from technological developments. This article provides an outline for a computationally driven research agenda to tackle refugee status determination variations as a recalcitrant puzzle of refugee law. It firstly outlines how the growing field of computational law may be canvassed to conduct legal research in refugee studies at a greater empirical scale than traditional legal methods. It then turns to exemplify the empirical purchase of a data driven approach to refugee law through an analysis of the Danish Refugee Appeal Board’s asylum case law and outlines methods for comparison with datasets from Australia, Canada and the United States. The article concludes by addressing the data politics arising from a turn to digital methods, and how these can be confronted through insights from critical data studies and reflexive research practices.

U2 - 10.31235/osf.io/g38c9

DO - 10.31235/osf.io/g38c9

M3 - Working paper

T3 - MOBILE Working Paper Series

SP - 1

EP - 40

BT - Data Driven Futures of International Refugee Law

PB - Copenhagen University

ER -

ID: 392717936