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Our Identities, Ourselves: Antiracist Guidelines for Collecting Data on Race and Ethnicity (Center for the Study of Social Policy)

Though child welfare agencies collect a lot of data on children, youth, and families, their usefulness is minimal when the collection methods are inconsistent, insensitive, exploitative, or inflexible to changing needs and fluid identities. The Center for the Study of Social Policy (CSSP), in partnership with Casey Family Programs has been gathering information to identify and share best practices for collecting data about race, ethnicity, and other demographic information including sexual orientation, gender identity and expression (SOGIE), national origin, language spoken, disability, and tribal affiliation in child welfare agencies nationwide. We sought input from young people, parents and caregivers with lived experience, caseworkers and data administrators and completed an extensive literature review, drawing from the fields of education and public health.

In this webinar, we will share best practices and tools for centering equity and constituent voice in data collection, analysis, reporting and use. We will explore:
• What are the best ways to capture race and ethnicity within data systems?
• How can frontline workers better ask nonjudgmental questions about young people and families’ identities throughout the life of a case?
• How can system leaders ensure that data collected is used to advance equity?

Speakers:
• Dee Bonnick, MSW, National Family Engagement & Social Justice Consultant
• Rachel Thorburn, Assistant Program Administrator, Department of Human Services State of Hawaii
• Michelle Chan, Founder and Director, California Families Rise
• Barbara Acela, Social Worker
• Lisa Mishraky-Javier, Senior Associate, CSSP
• Ali Jawetz, Senior Policy Analyst, CSSP
• Brian Clapier, Senior Director of Systems Improvement Data, Casey Family Programs
• Chereese Phillips, Director of Data Advocacy, Casey Family Programs

For more information and resources visit: https://cssp.org/our-work/project/data-for-equity/

Click here to register for the webinar.

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