We are a small team of economists, data scientists, psychologists, and learning scientists. We turn research methods into working tools, so agencies, labs, and the partners they serve can act on evidence faster.
EduWork.AI brings together economists, data scientists, psychologists, learning scientists, and engineers, led by Dr. Michelle Yin. We build the tools below, and we work as a small-business partner on research, evaluation, and technical-assistance projects.
Each runs in your browser on illustrative sample data. Scroll each row, or use the arrows. Nothing to install, no account needed.
Predicts a 0–100 needs score for each district from six indicators, with adjustable weights and live re-ranking, then explains the drivers and matches evidence-based strategies.
Open tool →A searchable, filterable library of evidence resources by topic, type, and evidence tier, the modern alternative to static PDF briefs.
Open tool →Eight short interactive lessons that teach partners to read and use statistics, from effect sizes and confidence intervals to ESSA evidence tiers.
Open tool →Answers a question from a vetted evidence library, cites every claim, and says plainly when the evidence does not cover it.
Open tool →Turns a set of studies into a structured evidence table and a one-click plain-language brief, filterable by design and rigor.
Open tool →Reads a region's own documents and ranks the recurring problems of practice, with supporting excerpts and a rural lens.
Open tool →Assembles a monthly progress report and a set-aside tracker from a project activity log, ready for staff review.
Open tool →Shows how AI scores of the same work diverge across models and flip rankings, then reports a bounded, human-calibrated estimate.
Open tool →We also built and run ReachABLE, a public platform that helps people with disabilities and their families understand ABLE accounts and protect their benefits. It is live at joinreachable.com.
It shows what we deliver end to end, from the research to a working product people use every day.
Visit joinreachable.com →
Every tool draws on Dr. Michelle Yin's research on education, workforce, disability, and the measurement of AI. The research program runs through the RISEI Lab.
The trainings, talks, and student programs behind the tools, and the communities we build them for.
Try any tool on sample data, or reach out about working with us as a small-business partner on your research, evaluation, or technical-assistance project.