Project Overview

Objective

To enable systems change and promote equitable outcomes along students’ journeys toward economic mobility and security, by encouraging greater cross-sector collaboration and alignment of education-to-workforce data systems

Project Motivation

To develop an evidence-based, field-driven framework that establishes a common set of metrics and data equity principles for assessing and addressing disparities along the pre-K-to-workforce continuum.

Partners in Progress

  • Mirror Group
  • Bill & Melinda Gates Foundation

Prepared For

Bill & Melinda Gates Foundation

A first-of-its kind indicator framework built through iterative input from 30+ E-W experts in research, policy, and practice at the local, state, and federal levels; cross-walking 40+ leading frameworks; and synthesizing the current evidence base.
Interactive website coming soon

The E-W Framework's interactive website is coming in late fall of 2022. The website will feature supporting materials such as user profiles, stories highlighting how the framework is being put into action to support equity goals, crosswalks to other field resources and data standards, and eventually a user guide. We will link to the interactive website when it launches.

Mathematica partnered with Mirror Group and the Bill & Melinda Gates Foundation to leverage existing evidence and field expertise to establish a common set of metrics and practices for education-to-workforce (E-W) data systems to assess and address inequities along the pre-K-to-workforce continuum. The metrics identified will help systems track the key outcomes and milestones, system conditions, and adjacent system conditions that enable students and workers to achieve economic mobility and security.

The framework includes:

  • Data equity principles: Principles to support ethical and safe data use across the data life cycle 
  • Essential questions: Questions every E-W data system should be equipped to answer
  • Indicators: Indicators that matter most along the E-W continuum for states and localities to measure 
  • Disaggregates: Key student characteristics to inform data disaggregation and assess disparities 
  • Evidence-based practices: Illustrative practices shown to move the needle on key outcomes
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Project Impact

Equitably improving education and economic outcomes hinges on our ability to answer fundamental questions about what’s working, what’s not, and how we can improve. The Education-to-Workforce Indicator Framework lays the foundation for this vital cross-sector work by illuminating how data can help the field answer these questions and take action to address disparities and better support students along their journeys from Pre-K into the Workforce.

- Chelsea Goodly, Program Officer, U.S. Program Data

Related Staff

Naihobe Gonzalez

Naihobe Gonzalez

Senior Researcher

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Megan Shoji

Megan Shoji

Principal Researcher

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Elizabeth Alberty

Elizabeth Alberty

Advisory Services Analyst

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Adrianna Corriveau

Adrianna Corriveau

Project Manager

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