Data is only as powerful as the decisions it informs. Yet often, there’s a disconnect between what data is collected and how (or whether) it is used. Responsible data practice when it comes to capturing children’s experiences in particular is not just about gathering more information, and rather about collecting data in ways that reflect the rights, needs and realities of children, and ensuring it is used meaningfully to generate value and change.
This edition focuses on two interlinked stages of the data lifecycle: collection and use. These examples demonstrate that thoughtful design, careful trade-offs, and inclusive evaluation are at the heart of effective data work.
Capturing Experiences Often Left Out
Data collection
Qualitative research
Underserved groups
Intersectionality
Every Child in the Frame
Data collection
Data use
CSAM
Image-based data
Evaluating AI Tools with Ethics, Fairness, and Purpose in Mind
Data use
Evaluation
AI tools
These examples remind us that better data doesn’t start with more—it starts with intentionality, equity, and use. From inclusive methodologies to more rigorous validation and evaluation, our community is showing what’s possible when we treat data as a tool for collective good.
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