Unlocking the E-W Framework: Live demo and insights this week!
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Join Mathematica and Double Line on Friday, June 27, 12–1 p.m. Eastern Time for a live demo of an open-source tool set that helps states, local education agencies, and their partners assess data readiness, prioritize essential questions and framework indicators, and build clear, actionable road maps for strengthening P20W+ or P12+ data systems. Hosted by the Council of Chief State School Officers and AEM Corporation, this interactive session will include an overview of the E-W Framework and showcase its real-world impact.
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New data tool released: Explore your community’s E-W data
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The pathway through school and into the workforce requires people to navigate a complex network of opportunities and environments. Students moving through this process need to hit key milestones and have access to resources and experiences that enable them to be successful. But what can available data tell you about how your community is progressing on these indicators of success?
The Urban Institute has officially launched the Education-to-Workforce Framework Data Tool, which integrates national data so users can explore indicators of success across the education-to-workforce pipeline for their state or community, as well as compare measures across geographies and years.
Mathematica’s Education-to-Workforce Indicator Framework makes it easy to track the outcomes and conditions most critical to students’ success. The framework empowers policymakers, administrators, educators, community organizations, researchers, parents, and students to work together to measure achievement and take action in their community. Urban’s new data tool leverages the framework’s essential questions to:
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- Transform complex federal data into a usable, easily digestible format tailored to interests and context
- Provide stakeholders with a way to diagnose and track educational and economic opportunity data for people in the communities they serve
- Display data on student and workforce outcomes and milestones alongside the system condition indicators at the community level that also contribute to these outcomes
- Compare outcomes at the community level, enabling users to compare data with locations that share similar characteristics
- Share baseline and trend data to help stakeholders target efforts and track successes for students’ later economic independence
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Screenshot of the Urban Institute Education-to-Workforce Data Tool
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Start your self-paced journey through the E-W Framework—now with an updated link!
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StriveTogether’s self-paced Introduction to the Education-to-Workforce Indicator Framework course has a new home within StriveTogether’s Training Hub. This training provides a comprehensive overview of the framework’s key components, including essential questions, indicators, metrics, and data equity principles. The course is designed to help participants, including community-based organizations, policymakers, advocacy organizations, and others, understand how to use the framework to connect systems and drive progress on critical cradle-to-career milestones. With practical examples, the course can serve as both a stand-alone learning opportunity and a prerequisite for the Outcomes Courses that launched in March. It focuses on practical ways to apply the framework directly within your community.
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Want to be featured in our next newsletter? Contact us to share your experience using the E-W Framework to guide your work or improve education and workforce data systems.
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Don’t forget about framework resources!
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Visit Publications and Tools to find at-a-glance documents, infographics, resources from our partners, and more.
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Have a question? Seeking additional support? Contact us to send the team a message, and we’ll reach out to connect!
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Why am I receiving this newsletter?
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You are included on our distribution list if you helped develop or disseminate the E-W Framework or you have expressed interest in learning more about the framework. You may opt out of emails at any time.
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The Education-to-Workforce Indicator Framework (E-W Framework) is designed to promote data collection and use to advance educational and economic opportunity for all. The framework offers guidance for ethical and effective data use, essential questions and data that matter most, ways to disaggregate data to inform action, and evidence-based practices to drive positive change.
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Mathematica
P.O. Box 2393 Princeton, NJ 08543-2393
P: (609) 799-3535 F: (609) 799-0005
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