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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Toolkit
This guide is designed to help district leaders understand and respond to the specific teacher staffing gaps they’re facing, focusing on time-tested strategies that will make an immediate impact: ideas for covering absences, filling existing vacancies, and addressing chronic shortages exacerbated by the pandemic in key subject areas and in schools serving historically marginalized communities. It also offers advice on how districts can plan—in partnership with stakeholders inside and outside education—for longer-term changes to teacher pipelines, the employee value proposition for teachers, and the teacher role itself that will bring many more talented professionals into the classroom to support students in the critical years ahead.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Toolkit
The toolkit describes positive and problematic practices for centering racial equity across the six stages of the data life cycle: (1) data collection, (2) data access, (3) use of algorithms and statistical tools, (4) data analysis, and (5) reporting and dissemination.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Toolkit
The Community Information Exchange (CIE) Data Equity Framework’s goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism by: (1) naming how data system design reflects understanding of and participation by the intended beneficiaries of current programs and interventions; (2) acknowledging and documenting the effects of a spectrum of data system design types on oppressed populations and communities; (3) identifying strategies needed to eliminate the harm of current processes and practices; (4) highlighting the behavior change needed to rebuild or change the overall data system to better meet community needs across racial and ethnic populations; and (5) adopting practices that promote restorative justice and mitigate harm and exploitation.