ACF awards $6M for testing predictive analytics in 10 child welfare jurisdictions
New federal funding will aid child welfare agencies in testing out predictive analytics tools.
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All 50 states have joined ‘Home for Every Child’ initiative, a data-driven plan to improve foster-care ratios
All 50 states have now joined "Home for Every Child," an initiative that uses new digital technologies with the aim of improving child welfare.
A Home for Every Child Initiative eight months in: PIPs and predictive algorithms
Assistant Secretary Adams joins the podcast to discuss the "A Home for Every Child Initiative," and how modernizing child welfare systems with predictive algorithms and automated tools…
HHS offers states $6M for predictive child welfare systems
New funding from the Administration for Children and Families is designed to upgrade IT systems used by state and local child welfare systems.
New federal dashboard tracks state prevention plans for child welfare
The Administration for Children and Families launched new interactive map to help states move faster on child welfare prevention plans.
Four states join federal tech initiative to improve foster care ratios
Oklahoma, Missouri, Louisiana and Tennessee are on performance improvement plans, designed to reduce the number of children entering foster care and make more homes available.
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Why don’t more child welfare agencies use predictive risk models?
Many agencies worry their data isn't clean enough, but proponents of predictive algorithms said they've seen them produce favorable outcomes in child welfare.
Arkansas canceled child welfare IT upgrade after two years, $12M
After $12 million of development over two years, Arkansas cut its losses on attempted upgrade to its child welfare platform.