This paper provides an overview of recent efforts to improve data collection on the child welfare population, with particular emphasis on measuring outcomes for children at risk of abuse or neglect and at risk of placement, as well as children in foster care, kinship care, and adoption. Although...
This paper provides an overview of recent efforts to improve data collection on the child welfare population, with particular emphasis on measuring outcomes for children at risk of abuse or neglect and at risk of placement, as well as children in foster care, kinship care, and adoption. ...
On the Road to Permanency: An Expanded Data Base for Service to Children in Foster Care. (1982). On the Road to Permanency: An Expanded Data Base for Service to Children in Foster Care. New York: Child Welfare League of America... D Fanshel - Child Welfare League of America, Inc., ...
Foster Care: Effectiveness of Independent Living Services Unknown A letter report issued by the General Accounting Office with an that begins "Pursuant to a congressional request, GAO provided information on the independ... USGA Office - United States. General Accounting Office. 被引量: 69发表: ...
2015-06-04 Data and analysis of BuzzFeed/Ipsos poll on same-sex marriage and abortion views 🔗 🔗 🔗 2015-05-03 Analyzing #talkpay tweets 🔗 🔗 2015-03-06 Analyzing state-by-state changes in earthquake frequency 🔗 🔗 2015-02-20 Analyzing deficiencies among Texas foster care ch...
The platform provides an integrated, collaborative system of care which gets “the right data to the right people at the right time.” It also enables assessments to be completed easily and accurately, with a focus on the quality of referrals. ...
, referred to as birth match, offer a timely, low-cost, intervention squarely based on current legal premises to increase the protection of newborns and very young children who were born to a parent with a prior termination of parental rights or has a child currently in out of home care. ...
The Centre concluded: In summary, we do not find evidence that the models we created using machine learning techniques ‘work’ well in children’s social care. In particular, the models built miss a large proportion of chil-dren at risk which – were the models to be used in practice –...
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