Predictive Analytics and Child Welfare: Toward Data Justice
Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention. Analysis The speed with which predictive analytics is being introduced in child welfare services is problema...
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| Veröffentlicht in: | Canadian journal of communication 2020-01, Vol.45 (1), p.101-111 |
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| creator | Redden, Joanna |
| description | Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention.
Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight.
Conclusion and implications These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families. |
| doi_str_mv | 10.22230/cjc.2020v45n1a3479 |
| format | Article |
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Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight.
Conclusion and implications These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families.</description><identifier>ISSN: 0705-3657</identifier><identifier>EISSN: 1499-6642</identifier><identifier>DOI: 10.22230/cjc.2020v45n1a3479</identifier><language>eng</language><publisher>Toronto: University of Toronto Press</publisher><subject>Accountability ; Allocations ; Automation ; Child welfare ; Children ; Councils ; Decision analysis ; Decision making ; Decision support systems ; Investigations ; Literature reviews ; Management decisions ; Mathematical analysis ; Predictive analytics ; Risk analysis ; Social work ; Social workers ; Transparency</subject><ispartof>Canadian journal of communication, 2020-01, Vol.45 (1), p.101-111</ispartof><rights>Copyright Canadian Journal of Communications Corporation 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c322t-18d3b294a4e7162eb1159a8890027e2e2516d6bacf8eebf2bdd0a43f84753e1d3</citedby><cites>FETCH-LOGICAL-c322t-18d3b294a4e7162eb1159a8890027e2e2516d6bacf8eebf2bdd0a43f84753e1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>Redden, Joanna</creatorcontrib><title>Predictive Analytics and Child Welfare: Toward Data Justice</title><title>Canadian journal of communication</title><description>Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention.
Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight.
Conclusion and implications These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families.</description><subject>Accountability</subject><subject>Allocations</subject><subject>Automation</subject><subject>Child welfare</subject><subject>Children</subject><subject>Councils</subject><subject>Decision analysis</subject><subject>Decision making</subject><subject>Decision support systems</subject><subject>Investigations</subject><subject>Literature reviews</subject><subject>Management decisions</subject><subject>Mathematical analysis</subject><subject>Predictive analytics</subject><subject>Risk analysis</subject><subject>Social work</subject><subject>Social 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Only</collection><collection>ABI/INFORM Global</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>CBCA Reference & Current Events</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Canadian journal of communication</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Redden, Joanna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Analytics and Child Welfare: Toward Data Justice</atitle><jtitle>Canadian journal of communication</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>45</volume><issue>1</issue><spage>101</spage><epage>111</epage><pages>101-111</pages><issn>0705-3657</issn><eissn>1499-6642</eissn><abstract>Background Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention.
Analysis The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight.
Conclusion and implications These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families.</abstract><cop>Toronto</cop><pub>University of Toronto Press</pub><doi>10.22230/cjc.2020v45n1a3479</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Canadian journal of communication, 2020-01, Vol.45 (1), p.101-111 |
| issn | 0705-3657 1499-6642 |
| language | eng |
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| source | Alma/SFX Local Collection |
| subjects | Accountability Allocations Automation Child welfare Children Councils Decision analysis Decision making Decision support systems Investigations Literature reviews Management decisions Mathematical analysis Predictive analytics Risk analysis Social work Social workers Transparency |
| title | Predictive Analytics and Child Welfare: Toward Data Justice |
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