Please use this identifier to cite or link to this item: https://dl.eusset.eu/handle/20.500.12015/4166
Title: Confronting Asylum Decision-making through Prototyping Sensemaking of Data and Participation
Authors: Nielsen, Trine Rask
Katsikouli, Panagiota
Høgenhaug, Anna Højberg
Byrne, William Hamilton
Gammeltoft-Hansen, Thomas
Slaats,Tijs
Olsen, Henrik Palmer
Hildebrandt, Thomas Troels
Møller, Naja Holten
Issue Date: 2021
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Computer Supported Cooperative Work
Series/Report no.: ECSCW
ECSCW
Abstract: The research outlined in this paper is focusing on understanding asylum decision-making and outcome variations across the Nordic countries. As a preliminary study, we extract data from an open dataset1 of decision summaries from the Danish Refugee Appeals Board. The approach we propose, offers points for discussion of how prototyping context and participation can help raise questions about such data and engage stakeholders. Combining the application of Machine Learning (ML) and Natural Language Processing (NLP) with participatory methods (e.g. critically designed artefacts) enable us to 1) move beyond “obvious” ML-application areas, 2) through sensemaking of data with stakeholders, and 3) co-develop approaches to data science from a CSCW-perspective.
metadata.dc.identifier.doi: 10.18420/ecscw2021_p08
URI: https://dl.eusset.eu/handle/20.500.12015/4166
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Poster/Demo
metadata.mci.conference.location: Zurich, Switzerland
metadata.mci.conference.date: 7-11 June 2021
Appears in Collections:ECSCW 2021 Demos and Posters

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