Opportunity Information: Apply for HHS 2026 ACF ACYF CA 0037
The Predictive Analytics in Child Welfare Demonstration Grants opportunity (HHS 2026 ACF ACYF CA 0037) is a discretionary federal funding announcement from the Administration for Children and Families (ACF), specifically the Administration on Children, Youth and Families/Children's Bureau. It is structured as a cooperative agreement, meaning awardees should expect substantial federal involvement and ongoing coordination during the project rather than a simple pass-through grant. The overall purpose is to help public child welfare agencies use predictive analytics responsibly and effectively, while generating practical lessons that can be replicated more broadly across the country.
The program is designed around the reality that more child welfare agencies are turning to data to guide practice, but that doing so well requires more than just buying software or building a model. The funding targets jurisdictions that can serve as demonstration sites where predictive analytics strategies are designed, implemented, and tested in real operational settings. In addition to the technical work, the grant emphasizes governance, implementation support, analytic capacity, and information sharing so agencies can use predictive tools in ways that are transparent, ethical, and aligned with child welfare goals like strengthening families and improving safety.
Grantees are expected to pursue several core objectives. First, they will design, implement, and test predictive analytics strategies, which typically involves selecting priority decision points in the child welfare process, determining what data can be used appropriately, developing or refining analytic approaches, and piloting how results are delivered to staff in a way that supports rather than replaces professional judgment. Second, the program seeks to build and sustain agency capacity, so the work does not end when the grant ends. This usually means strengthening internal data and analytics skills, improving data quality and processes, establishing policies for responsible use, and creating routines for ongoing monitoring and improvement. Third, awardees will participate in collaboration and shared learning, implying a cross-site learning community where jurisdictions share what works, what does not, and how they address common challenges such as equity, stakeholder trust, and operational adoption. Finally, awardees will evaluate training and technical assistance activities, focusing on whether staff training and support actually improves understanding, appropriate use, and consistent practice around predictive analytics.
Eligibility is intentionally limited to public child welfare jurisdictions, specifically state governments, local governments (county and city/township), and federally recognized tribal governments. The announcement also references state, territorial, or tribal child welfare agencies as the intended applicants, reinforcing that the program is aimed at the agencies with direct responsibility for child welfare program administration and frontline decision-making. Individuals (including sole proprietors) and foreign entities are explicitly ineligible and will be disqualified during merit review, which underscores that the federal government wants these demonstration efforts housed within accountable public systems rather than led by private individuals or non-domestic organizations.
Funding details indicate an award ceiling of $600,000 per project, with an expectation of about 10 awards. The assistance listing is CFDA (now Assistance Listing) 93.670, and the activity category is Income Security and Social Services. The original application closing date is July 13, 2026, and the opportunity was created on May 28, 2026. The notice also states it has been modified to update language in the optional documents for bonus points and in the bonus point criteria sections, signaling that applicants should carefully review the most current version of the NOFO to understand how optional submissions may affect scoring.
Finally, the opportunity is framed as consistent with federal priorities related to strengthening child welfare systems and promoting trustworthy uses of artificial intelligence in government. By tying the work to executive order themes around child welfare improvement and trustworthy AI, the program is signaling that demonstrations should not only be innovative, but also careful about issues like accountability, transparency, privacy, and fairness, especially given the high-stakes nature of decisions affecting children and families.Apply for HHS 2026 ACF ACYF CA 0037
- The Administration for Children and Families - ACYF/CB in the income security and social services sector is offering a public funding opportunity titled "Predictive Analytics in Child Welfare Demonstration Grants" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.670.
- This funding opportunity was created on 2026-05-28.
- Applicants must submit their applications by 2026-07-13. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $600,000.00 in funding.
- The number of recipients for this funding is limited to 10 candidate(s).
- Eligible applicants include: State governments, County governments, City or township governments, Native American tribal governments (Federally recognized).
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Frequently Asked Questions (FAQs)
What is the Predictive Analytics in Child Welfare Demonstration Grants opportunity?
The Predictive Analytics in Child Welfare Demonstration Grants (HHS 2026 ACF ACYF CA 0037) is a discretionary federal funding opportunity from the Administration for Children and Families (ACF), within the Administration on Children, Youth and Families/Children's Bureau. It supports public child welfare agencies in designing, implementing, and testing predictive analytics approaches in real operational settings, while producing lessons that can be replicated more broadly.
Which federal agency is offering this grant?
The funding is offered by the U.S. Department of Health and Human Services (HHS) through the Administration for Children and Families (ACF), specifically ACF's Administration on Children, Youth and Families (ACYF) and the Children's Bureau.
Is this a standard grant or a cooperative agreement?
This opportunity is structured as a cooperative agreement. That means awardees should expect substantial federal involvement and ongoing coordination during the project, rather than a simple pass-through grant with limited federal interaction.
What is the main purpose of the program?
The overall purpose is to help public child welfare agencies use predictive analytics responsibly and effectively, and to generate practical, shareable lessons that other jurisdictions can replicate. The emphasis is not only on building or buying a tool, but on responsible implementation, governance, and operational use aligned with child welfare goals.
Why does the program emphasize more than just building a predictive model?
The program is designed around the idea that effective predictive analytics requires more than software or a model. The announcement highlights governance, implementation support, analytic capacity, and information sharing so tools are used transparently, ethically, and in ways that support agency goals such as strengthening families and improving safety.
What types of projects is the program trying to fund?
The funding targets jurisdictions that can serve as demonstration sites where predictive analytics strategies are designed, implemented, and tested in real child welfare operations. Demonstration work is expected to include technical development as well as policies, training, monitoring, and cross-site learning.
What are the core objectives grantees are expected to pursue?
Based on the announcement description, grantees are expected to pursue four core objectives:
- Design, implement, and test predictive analytics strategies in real decision-making contexts.
- Build and sustain agency capacity so the work continues beyond the grant period.
- Participate in collaboration and shared learning across jurisdictions.
- Evaluate training and technical assistance activities to confirm staff support improves appropriate and consistent use.
What does "design, implement, and test predictive analytics strategies" typically involve?
The opportunity description indicates this typically includes selecting priority decision points in the child welfare process, determining what data can be used appropriately, developing or refining analytic approaches, and piloting how results are delivered to staff in a way that supports (and does not replace) professional judgment.
How does the grant describe the role of frontline staff and professional judgment?
The announcement indicates that predictive analytics results should be delivered in a way that supports professional judgment rather than replaces it. This signals that tools are intended to inform decisions, not automate them.
What does "building and sustaining agency capacity" mean in this program?
The description indicates this usually includes strengthening internal data and analytics skills, improving data quality and processes, establishing policies for responsible use, and creating routines for ongoing monitoring and continuous improvement so benefits remain after the grant ends.
What does collaboration and shared learning look like under this grant?
The opportunity anticipates a cross-site learning community in which jurisdictions share what works, what does not, and how common challenges are addressed. The description calls out challenges such as equity, stakeholder trust, and operational adoption.
What is meant by evaluating training and technical assistance?
The announcement emphasizes evaluating whether staff training and technical assistance improve understanding, appropriate use, and consistent practice around predictive analytics, rather than assuming training is effective without evidence.
Who is eligible to apply?
Eligibility is limited to public child welfare jurisdictions. The listed eligible applicants include state governments, local governments (county and city/township), and federally recognized tribal governments. The description also reinforces that intended applicants are state, territorial, or tribal child welfare agencies responsible for child welfare administration and frontline decision-making.
Are territorial child welfare agencies included?
The opportunity description references state, territorial, or tribal child welfare agencies as intended applicants. Applicants should rely on the most current NOFO language for the official eligibility details.
Are individuals allowed to apply?
No. Individuals (including sole proprietors) are explicitly ineligible and will be disqualified during merit review.
Are foreign entities allowed to apply?
No. Foreign entities are explicitly ineligible and will be disqualified during merit review.
Why is eligibility limited to public child welfare jurisdictions?
The description indicates the federal government wants the demonstration efforts housed within accountable public systems that have direct responsibility for child welfare program administration and decision-making, rather than being led by private individuals or non-domestic organizations.
What is the maximum award amount for this opportunity?
The award ceiling is $600,000 per project.
How many awards are expected?
The announcement indicates an expectation of about 10 awards.
What is the Assistance Listing (CFDA) number for this program?
The Assistance Listing number is 93.670.
What is the activity category for this opportunity?
The activity category is Income Security and Social Services.
When is the application due date?
The original application closing date is July 13, 2026.
When was the opportunity created?
The opportunity was created on May 28, 2026.
Has the funding notice been modified since it was created?
Yes. The notice states it has been modified to update language in the optional documents for bonus points and in the bonus point criteria sections. This suggests applicants should review the most current version of the NOFO to understand how optional submissions may affect scoring.
What are "optional documents for bonus points" in this context?
The opportunity notes that optional documents may be submitted for bonus points and that related language and criteria were updated in a modification. The specific documents and scoring approach are not detailed in the provided description, so applicants should consult the latest NOFO for the exact requirements.
What kinds of issues does the program highlight around responsible predictive analytics use?
The description emphasizes transparency, ethics, and alignment with child welfare goals, and it points to concerns common in high-stakes settings such as accountability, privacy, fairness, equity, and stakeholder trust.
How does this opportunity connect to federal priorities on trustworthy AI?
The opportunity is framed as consistent with federal priorities related to strengthening child welfare systems and promoting trustworthy uses of artificial intelligence in government. It ties the work to executive order themes around child welfare improvement and trustworthy AI, signaling expectations around careful, accountable, and transparent implementation.
What makes this a "demonstration" grant?
The program funds jurisdictions to act as demonstration sites where strategies are designed, implemented, and tested in real operations, with the intent of generating practical lessons that can be shared and replicated nationally.
Does the opportunity focus only on technical development?
No. The description emphasizes that the work includes governance, implementation support, analytic capacity building, training, and information sharing in addition to any technical model development or refinement.
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