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| 3 Apr 2026 | |
| Past Events |
High‑quality race and ethnicity data are essential for effective Federal programming, yet current approaches often fall short. This webinar brings together a facilitator and four leading data experts with deep experience working across diverse racial and ethnic communities. Together, they will explore why accurate, detailed, and comparable data matter for policymaking, funding distribution, and program evaluation across the Federal landscape.
The session highlighted how inaccurate or overly broad race and ethnicity categories can compromise the objectivity and reliability of Federal statistics, thereby undermining agencies' ability to meet the standards set by the Foundations for Evidence‑Based Policymaking Act. Panelists shared concrete examples of how poor‑quality data limit agencies’ capacity to generate actionable insights, conduct rigorous evaluations, optimize the allocation of federal formula funds, and assess program impact across communities.
Participants also hear how improved detail and granularity in race and ethnicity data enable policymakers to identify disparities masked by broad categories, tailor interventions more precisely, and understand differential outcomes across populations. The webinar illustrated how stronger, more consistent Federal data standards also promote comparability and interoperability, enabling more effective data linkages and reducing the need for costly new data collection.
Through real‑world anecdotes, applied examples, and expert perspectives, this conversation illuminated how high‑quality race and ethnicity data strengthen the Federal statistical system and support programs that better serve all communities.
Speakers
