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ACF officials say better, faster human-services data and lightweight tools are needed to speed disaster response

Administration for Children and Families (ACF) Convening — Day 3 · November 17, 2025
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Summary

At an HHS convening, ACF and ASPR officials described gaps in disaster-era human-services data, plans to pilot a shared situational-awareness tool, and urged standardized 'essential elements' and consent frameworks to make data useful without overburdening communities.

At a multi-day HHS convening in Washington, Administration for Children and Families officials and partners said federal and local human-services programs still lack timely, disaster-specific data and need streamlined tools and consent practices to act faster in crises.

"The answer is it's kind of a mess," said Bethanne Barnes, director of the Division of Data and Improvement in ACF's Office of Planning, Research and Evaluation, describing how program data often arrives late, aggregated and not specific to disasters. Jane Young, ACF's lead adviser for AI and data, said ACF is piloting a shared situational-awareness tool that pulls open data and satellite feeds and maps program delivery points against disaster footprints to reduce phone-based data calls.

Why it matters: Federal, state and local responders repeatedly face the same constraint—by the time program-level data arrive, the opportunity to target immediate help has passed. Panelists argued that short, standardized data fields and federated models for consented data sharing can let systems act where people actually are without adding paperwork for survivors.

Barnes and colleagues said ACF has published a comprehensive ACF data catalog (released last year) and is working to define minimum 'essential elements' to request in urgent situations so that data are comparable across jurisdictions. Jane Young described trimming post-disaster surveys from about 30 questions to a 12-question core that can be completed in five minutes and then augmented later for research.

On AI and natural-language approaches, panelists said there is promise but also need for governance. Young noted possible uses—machine-assisted aggregation of social-media signals, faster machine translation for minority languages and automated structuring of consented phone-call notes with human vetting—but stressed more testing and research are needed to confirm effectiveness and equity.

Panelists repeatedly raised consent, privacy and standardization as preconditions: "We need nuanced consent so you can share this but not that," Young said, urging clear, plain-language explanations for people asked to provide data in stressful circumstances.

What’s next: Panelists asked jurisdictions to pilot lightweight data interfaces; to build data-sharing agreements and umbrella consent arrangements pre-disaster; and to participate in ACF-led pilots of the situational-awareness tool. ACF officials are convening researchers and practitioners to develop a learning agenda and to publish implementation case studies.