Data-Driven Futures of International Refugee Law

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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

In: Journal of Refugee Studies, 2024.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Byrne, WH, Gammeltoft-Hansen, T, Piccolo, S, Moller, NH, Slaats, T & Katsikouli, P 2024, 'Data-Driven Futures of International Refugee Law', Journal of Refugee Studies. https://doi.org/10.1093/jrs/feac069

APA

Byrne, W. H., Gammeltoft-Hansen, T., Piccolo, S., Moller, N. H., Slaats, T., & Katsikouli, P. (2024). Data-Driven Futures of International Refugee Law. Journal of Refugee Studies. https://doi.org/10.1093/jrs/feac069

Vancouver

Byrne WH, Gammeltoft-Hansen T, Piccolo S, Moller NH, Slaats T, Katsikouli P. Data-Driven Futures of International Refugee Law. Journal of Refugee Studies. 2024. https://doi.org/10.1093/jrs/feac069

Author

Byrne, William Hamilton ; Gammeltoft-Hansen, Thomas ; Piccolo, Sebastiano ; Moller, Naja Holten ; Slaats, Tijs ; Katsikouli, Panagiota. / Data-Driven Futures of International Refugee Law. In: Journal of Refugee Studies. 2024.

Bibtex

@article{2d7a7f99af174c6e87f941f83f921d12,
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 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.",
keywords = "international refugee law, empirical legal research, computational legal research, refugee status determination, critical data studies, HUMAN-RIGHTS, ASYLUM APPLICATIONS, CRITICAL DISCOURSE, MIGRATION, POLICY, DETERMINANTS, CREDIBILITY, PREFERENCES, TECHNOLOGY, CHALLENGES",
author = "Byrne, {William Hamilton} and Thomas Gammeltoft-Hansen and Sebastiano Piccolo and Moller, {Naja Holten} and Tijs Slaats and Panagiota Katsikouli",
year = "2024",
doi = "10.1093/jrs/feac069",
language = "English",
journal = "Journal of Refugee Studies",
issn = "0951-6328",
publisher = "Oxford University Press",

}

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 - 2024

Y1 - 2024

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

JO - Journal of Refugee Studies

JF - Journal of Refugee Studies

SN - 0951-6328

ER -

ID: 340549117