Predictive Analytics in Child Welfare Demonstration Grants
Cooperative agreements fund state, territorial, or tribal child welfare agencies to serve as demonstration sites for designing, implementing, testing, and evaluating predictive analytics in child welfare practice, with shared learning and capacity building.
RESTRICTED TO: STATE LOCAL GOV · TRIBAL ENTITIES
⚑ Eligibility is limited to state, territorial, or tribal child welfare agencies; public universities are not eligible to apply directly. · Individuals and foreign entities are explicitly ineligible. · Cooperative agreement with required collaboration/shared learning and evaluation of training/technical assistance activities.
Unit fits — one characterization, each unit's own rules
| Tom Love Innovation Hub | 30 weak | funds applied research; deep-tech content |
| IPPRA | 15 none | university cannot apply directly (ineligible) |
| Physical Sciences & Engineering (demo) | 15 none | university cannot apply directly (ineligible) |
Description
This NOFO has been modified to update language in the optional documents for bonus points, and bonus point criteria sections.As child welfare agencies increasingly use data to inform practice, targeted implementation, analytic support, and information sharing are needed to ensure the responsible use of predictive analytics. This funding opportunity supports child welfare jurisdictions in serving as demonstration sites for the effective use and future replication of predictive analytics at the national level.Grantees will focus on meeting the following objectives: Designing, implementing, and testing predictive analytics strategies, Building and sustaining agency capacity, Participating in collaboration and shared learning, Evaluating training and technical assistance activities.
Eligibility
Eligibility is limited to state, territorial, or tribal child welfare agencies. Public child welfare agencies can achieve the greatest impact from predictive analytics in supporting families and protecting children by enhancing decision-making. Limiting competition to these agencies maximizes this impact and aligns with: • Executive Order 13930: "Strengthening the Child Welfare System for America's Children" • Executive Order 13960: "Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government" • Executive Order 14359: "Fostering the Future Applications from individuals (including sole proprietorships) and foreign entities are not eligible and will be disqualified from the merit review and funding under this funding opportunity.
Apply
View on Grants.gov → CONTACT: Administration for Children and Families - ACYF/CB <cb@grantreview.org>
Proposal brief SEE AN EXAMPLE →
A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.
Proposal shell · HHS services agencies (SAMHSA / HRSA / CDC / ACF) conventions SEE AN HHS EXAMPLE →
Funder-faithful document skeletons — HHS services agencies (SAMHSA / HRSA / CDC / ACF)'s document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.
Legacy IPPRA LLM assessment (v2.0, for comparison)
18/100 · gpt-5.4-mini · 2026-07-06
This is a child welfare implementation/demonstration grant focused on predictive analytics capacity and technical assistance, not a research opportunity, so it is only tangentially related to IPPRA’s behavioral and policy research mission. Although it involves evaluation activities and decision-making in a human services context, eligibility is limited to state, territorial, or tribal child welfare agencies, so a public university could not apply as a lead or named partner in a way that would make it competitive.
Legacy scoring history
| 2026-07-06 | 18 | gpt-5.4-mini | This is a child welfare implementation/demonstration grant focused on predictive analytics capacity and technical assistance, not a research opportunity, so it is only tangentially related to IPPRA’s behavioral and policy research mission. Although it involves evaluation activities and decision-making in a human services context, eligibility is limited to state, territorial, or tribal child welfare agencies, so a public university could not apply as a lead or named partner in a way that would make it competitive. |
| 2026-07-06 | 15 | gpt-5.4-mini | This is primarily a child welfare implementation grant focused on predictive analytics capacity in state/territorial/tribal agencies, not a research solicitation aligned to IPPRA’s core survey, risk communication, or policy-evaluation strengths. There is some indirect overlap with public health/crisis-response and behavioral decision-making in human services, but eligibility is restricted to government child welfare agencies, so a public university could not apply or serve as a named partner in a way that would materially anchor the project. |