The Development of Algorithmically Based Decision-Making Systems in Children’s Protective Services
Is Administrative Data Good Enough
Datos Bibliográficos
| ID | 10898310 |
|---|---|
| Autores | Philip Gillingham (0000-0001-7708-1927, The University of Queensland, autor de correspondencia) |
| Año | 2020 |
| Volumen | 50 |
| Número | 2 |
| Páginas | 565-580 |
| Fecha de publicación | 2020-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | The British Journal of Social Work (JOURNAL) |
| Identificadores de la revista | ISSN: 0045-3102 • E-ISSN: 1468-263X |
| Editorial | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/bjsw/bcz157 |
| OpenAlex | W2997825709 |
| Idioma | EN |
| Citas recibidas | 13 |
| Referencias citadas | 34 |
Big data techniques are being used in children’s protective services to develop algorithmically based decision support systems (DSSs) to identify the most vulnerable children and introduce early and preventive services. These techniques use administrative data from multiple public agencies but are most reliant on data from children’s protective services. Using key principles from representation theory, and drawing from the author’s research, data from children’s protective services are considered in terms of the extent to which they represent and can be interpreted to provide a faithful representation of the phenomenon of child maltreatment. The aim is to address the question of whether children’s protective services data are good enough to develop accurate and practically useful DSS
Computer security · Data mining · Data science · Decision support system · External Data Representation · Key (lock) · Political science · Representation (politics) · Artificial Intelligence · Child Abuse and Trauma · Computer Science · Criminal Justice and Corrections Analysis · Grief, Bereavement, and Mental Health
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| Obras citantes distintas | 13 |
|---|---|
| Citas por año | 2,17 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 10 |