CEU
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Overview
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This self-paced training serves as an opportunity to explore how: (1) structural and implicit biases, (2) incomplete, non-human-centered narratives, and (3) the persistent undervaluing of Indigenous voices uphold power imbalances in data collection in public health.
Presenters will explore why, how, when, and where transformational change must occur in data collection and management to truly center historically excluded people, their communities, and the health equity work that they continue.
These human-centered conversations will allow participants to explore practical case studies, hear from nuanced subject matter experts, and have an opportunity to reflect upon their own experiences.
What You'll Learn
- Describe the importance of storytelling in effective public health communication
- Identify best practices to capture all components of a story
- Explain the role of democratizing data in improving quantitative data collection processes
- Describe how to apply inclusive storytelling best practices in order to start shifting power from dominant narratives to inclusive and racially just narratives