Have questions about DRR-AI, the IES or ICPSR disclosure risk review process, or want to collaborate? We'd love to hear from you.
GitHub Repository
github.com/youmilab/drr-aiAbout This Project
DRR-AI is an open research tool for automated disclosure risk review. Bug reports, feature requests, and collaborations are all welcome via GitHub Issues.
DRR-AI is an open-source research tool being developed to automate the disclosure risk review process for education researchers working with IES/NCES and ICPSR restricted-use datasets.
The project is led by Youmi Lab at Teachers College, Columbia University. It draws on real DRR submission experience to build an AI-powered compliance assistant that helps researchers self-check their manuscripts before submitting to official DRR channels — dramatically reducing errors, delays, and re-submissions.
DRR-AI is designed with potential for adoption within IES, university institutional review boards (IRBs), and other data security institutions that oversee restricted-use data compliance.
Explore the source code, open issues, or contribute to DRR-AI on GitHub.
View on GitHub