The Development of Algorithmically Based Decision-Making Systems in Children's Protective Services: Is Administrative Data Good Enough?
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 m...
| Publicado en: | British Journal of Social Work Vol. 50; no. 2; pp. 565 - 581 |
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| Autor principal: | |
| Formato: | Journal Article |
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Oxford University Press / USA
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142688739&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142688739 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00453102 BHO jtl: British Journal of Social Work issn: 00453102 maglogo: N pubinfo: dt: Mar2020 vid: 50 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 142688739 10.1093/bjsw/bcz157 142688739 ppf: 565 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Development of Algorithmically Based Decision-Making Systems in Children's Protective Services: Is Administrative Data Good Enough? aug: au: Gillingham, Philip affil: ARC Future Fellow, School of Nursing, Midwifery and Social Work, University of Queensland, Brisbane, Australia sug: subj: Algorithms Data Analytics Decision Making Child Welfare Organizations Child Abuse Prevention and Control Child Safety ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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