Projekter pr. år
Abstract
This article presents and discusses ethical issues and implications in research when building a predictive risk model for potential use in Danish child and family welfare. The idea is to build a predictive risk model in order to study whether such a model can be valuable to child and family welfare services in the assessment of risk – aimed specifically at the decision-making process regarding notifications.
Based on a framework developed especially for this field, we present and discuss ethical considerations, reflections and actions in relation to four main ethical principles: non-maleficence, autonomy, justice and explicability. We hope that our reflections on these ethical challenges can inspire research – and potentially also the field of practice when taking a deep dive into the difficult field of digitalization in social work.
Based on a framework developed especially for this field, we present and discuss ethical considerations, reflections and actions in relation to four main ethical principles: non-maleficence, autonomy, justice and explicability. We hope that our reflections on these ethical challenges can inspire research – and potentially also the field of practice when taking a deep dive into the difficult field of digitalization in social work.
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Journal of Comparative Social Work |
| Vol/bind | 19 |
| Udgave nummer | 1 |
| Sider (fra-til) | 102-126 |
| Antal sider | 25 |
| ISSN | 0809-9936 |
| DOI | |
| Status | Udgivet - 3 okt. 2024 |
Emneord
- Child and family welfare
- Child protection
- Decision making
- Ethics
- Notifications
- Predictive risk modeling
- machine learning
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Involvering af familier i udsatte positioner med digitale teknologier
Nirmalarajan, L. Y. (PI (principal investigator)) & Meier, N. (Supervisor)
01/03/2022 → 31/12/2025
Projekter: Projekt › Ph.d.-projekt
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Underretninger i fokus
Nirmalarajan, L. Y. (CoI (co-investigator)), Berg, L. (PI (principal investigator)), Rossholm, M. (CoI (co-investigator)), Bodilsen, S. (CoI (co-investigator)), Dalgaard Toft, S. (CoI (co-investigator)) & Villumsen, A. M. (CoI (co-investigator))
01/01/2019 → 31/12/2024
Projekter: Projekt › Forskning
Aktiviteter
- 1 Foredrag og præsentationer i privat eller offentlig virksomhed
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Predictive risk modeling as a tool for supporting decision making in social work with children and families at risk
Nirmalarajan, L. (Foredragsholder)
9 dec. 2024Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
Presse/Medier
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Forskere: Algoritmer risikerer at skabe diskriminerende og ulige sagsbehandling i kommunerne
Villumsen, A. M., Rosholm, M., Bodilsen, S., Dalgaard Toft, S., Berg, L. & Nirmalarajan, L.
27/01/2025
1 Mediebidrag
Presse/medie
Publikation
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Developing Predictive Risk Models: Lessons from a Sandbox Experiment in Child Welfare Services
Nirmalarajan, L. Y., 29 jul. 2025, I: Academy of Management Proceedings.Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review
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Playing it safe? Using sandbox experiments to explore predictive risk modelling
Nirmalarajan, L. Y. & Berg, L., 5 maj 2025, (E-pub ahead of print) I: European Social Work Research. 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Lessons learned from a sandbox experiment: Gaining experience with predictive risk modeling in a low stake environment
Nirmalarajan, L. Y. & Berg, L., 17 apr. 2024.Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review