Nebraska will test predictive analytics in child welfare with federal grant

Nebraska will receive a $600,000 federal grant over three years to develop a predictive-analytics system for child welfare, state officials announced Friday, August 14, 2026.

The system, called Right Home, Right Time on TRACK — or TRACK, for Timely Review, Analytics, and Coordination for Kids — is intended to help child-welfare professionals identify risks earlier, connect families with preventive services and inform decisions about placement, reunification, permanency and resource allocation.

Nebraska is one of 10 jurisdictions selected for the federal Children’s Bureau Predictive Analytics in Child Welfare Demonstration Grant program. The project is expected to begin September 30, 2026, and run for three years.

TRACK is not yet deployed

The Nebraska Department of Health and Human Services says it will develop TRACK using patterns in administrative data. The planned system would include predictive models and other decision-support tools to help child-welfare professionals prioritize cases, identify opportunities for earlier intervention and allocate resources.

DHHS says Nebraska plans to build and maintain the system internally rather than rely on an outside vendor or proprietary platform. The agency also says the project will include a governance framework, workforce training and evaluations of implementation and outcomes.

That means TRACK is a development project, not a system already making decisions about Nebraska children. Predictive analytics can support professional judgment, but it is not the same as an autonomous system that makes decisions without human review.

Why the project matters statewide

The technology could eventually affect how workers prioritize cases, connect families with services, assess placement and reunification options and manage limited resources. Those decisions can affect children involved in out-of-home care, parents seeking reunification and foster, kinship and adoptive families across Nebraska.

A June report from the Nebraska Foster Care Review Office counted 3,951 children in out-of-home care or trial-home-visit placements on March 31, 2026. The figure covers children connected to DHHS, juvenile services and juvenile probation; it is a point-in-time snapshot, not a current daily count.

The same report found that DHHS had 113 children in congregate care on that date, a 41.3% increase from the previous year. It also identified caseworker continuity as an important factor in permanency. Among the cases reviewed, timely permanency was achieved in 74.5% of cases involving one caseworker, compared with 17.5% involving two workers and 0.1% involving six workers.

Those conditions help explain why state officials are looking for ways to use information more consistently. They also raise the stakes for how a new tool is designed, introduced and monitored.

What the federal grant framework calls for

The federal grant notice describes projects that design, implement and test predictive-analytics strategies; build agency capacity; collaborate with families and community stakeholders; and evaluate implementation and outcomes.

The notice also emphasizes integrating predictive analytics with professional judgment and oversight, using appropriate safeguards, monitoring performance and producing information that can support continuous improvement. For Nebraska, the important distinction is that these are elements of a demonstration project still to be designed and tested, not proof that TRACK has already been validated in practice.

For residents, key questions will include what data DHHS uses, what outcomes TRACK is designed to predict and how much weight workers may give its recommendations. Other questions include whether families will be told when the system influences a decision, how errors can be corrected, who can challenge a recommendation and whether the state will publish performance results.

Bias and transparency will be major tests

A federal analysis from the HHS Office of the Assistant Secretary for Planning and Evaluation warns that predictive models can reproduce or worsen racial and ethnic disparities if they rely on biased or incomplete historical data. The analysis points to the importance of examining performance across racial and ethnic groups, evaluating equity-related outcomes, explaining model results and involving communities in oversight.

The research does not establish that Nebraska’s planned system has a bias problem. It identifies safeguards and accountability questions the state will need to address as TRACK moves from design to testing.

Internal development may give DHHS more control over the system, but it does not by itself guarantee transparency, fairness or accountability. Those protections will depend on the data selected, the model’s design, independent review, staff training, documentation, public reporting and the ability to identify and correct errors.

What happens next

The expected September 30 project start will be followed by system design, data work, testing, workforce training, stakeholder engagement and evaluation. Residents should watch for information about the model’s intended uses, the data included or excluded, accuracy and error rates, subgroup testing, human-override rules and measurable effects on prevention services, placement stability, reunification and caseworker workload.

DHHS has described the grant as an opportunity to improve decision-making and outcomes for children and families. Whether it does so will depend less on the technology’s label than on the evidence Nebraska produces about how TRACK performs, how workers use it and how families can hold the system accountable.

Sources

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