Data-Driven Futures of International Refugee Law
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Standard
Data-Driven Futures of International Refugee Law. / Byrne, William Hamilton; Gammeltoft-Hansen, Thomas; Piccolo, Sebastiano; Moller, Naja Holten; Slaats, Tijs; Katsikouli, Panagiota.
I: Journal of Refugee Studies, Bind 2023, feac069, 2023.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Data-Driven Futures of International Refugee Law
AU - Byrne, William Hamilton
AU - Gammeltoft-Hansen, Thomas
AU - Piccolo, Sebastiano
AU - Moller, 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 first 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 first 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.
KW - international refugee law
KW - empirical legal research
KW - computational legal research
KW - refugee status determination
KW - critical data studies
KW - HUMAN-RIGHTS
KW - ASYLUM APPLICATIONS
KW - CRITICAL DISCOURSE
KW - MIGRATION
KW - POLICY
KW - DETERMINANTS
KW - CREDIBILITY
KW - PREFERENCES
KW - TECHNOLOGY
KW - CHALLENGES
U2 - 10.1093/jrs/feac069
DO - 10.1093/jrs/feac069
M3 - Journal article
VL - 2023
JO - Journal of Refugee Studies
JF - Journal of Refugee Studies
SN - 0951-6328
M1 - feac069
ER -
ID: 340549117