The RESULTS Act of 2026 establishes a competitive grant program to help states modernize and integrate longitudinal data systems that connect early childhood education, K-12, postsecondary, and workforce data to improve decision-making and employment outcomes.
Lisa Blunt Rochester
Senator
DE
The RESULTS Act of 2026 establishes a competitive grant program to help states modernize and integrate their longitudinal data systems, connecting information from early childhood education through workforce training and employment. By fostering secure, cross-sector data collaboration, the bill aims to provide policymakers, educators, and the public with the insights needed to improve educational outcomes and career readiness. Additionally, the legislation enhances state access to national employment data to better track and report on workforce development performance.
The RESULTS Act of 2026 is essentially a high-tech upgrade for how states track the journey from the classroom to the cubicle. Right now, data about your kid’s preschool, your cousin’s community college credits, and your neighbor’s unemployment benefits often sit in different digital basements that don't talk to each other. This bill changes that by creating a competitive grant program—lasting up to four years per state—to build 'longitudinal data systems.' These are secure, linked databases that follow an individual’s progress from early childhood through the workforce. The goal is to stop guessing which training programs actually lead to high-paying jobs and start using hard numbers to drive policy decisions.
Under this plan, states can apply for federal funds to merge individual-level data from public schools, universities, and trade programs with labor market outcomes like wage records and job titles. For a parent, this might eventually look like a secure 'student dashboard' (Section 3) where you can track your child’s graduation readiness and see which local college programs actually lead to careers in your area. For a worker looking to pivot careers, it means better transparency on whether a specific 'Workforce Pell Grant' program or apprenticeship actually results in a paycheck bump. The bill requires these systems to be able to break down data by race, age, and disability status, which helps identify exactly where the system is failing specific groups of people.
Whenever you hear 'linked databases' and 'individual-level data,' it’s natural to worry about privacy. The bill addresses this by requiring states to appoint a Chief Privacy Officer and a Chief Data Office (Section 3). These systems must comply with the General Education Provisions Act (GEPA) and use 'SOLID' data formats—tech-speak for data that is structured to be useful but de-identified to protect your identity. While the bill even encourages states to explore using Artificial Intelligence to analyze these trends, it mandates that they follow the NIST AI Risk Management Framework to prevent the 'black box' algorithms from making biased or unsafe decisions with your information.
While the bill promises to reduce the 'reporting burden' by making data collection more efficient, the actual rollout is a massive technical lift. States have to create interagency governance structures—basically a board of directors from different departments who usually don't share their toys—to manage the data. There’s also a push for 'multistate collaboratives,' which would help track what happens when someone gets a degree in Ohio but takes a job in Texas. For the average person, the success of this bill depends on whether states can build these complex systems without data breaches and whether policymakers actually use the findings to fix broken education-to-work pipelines instead of just admiring the new charts.