ACUS has long recommended that agencies employ statistical and nonstatistical techniques to evaluate the quality, timeliness, fairness, and efficiency of their adjudications, particularly in recent years given recent developments in electronic case management. This project will identify best practices to help agencies collect data about their adjudication systems, ensure data quality, use adjudication data effectively, and make adjudication data publicly available when appropriate. Among other topics, the project will address how agencies identify data elements most essential for improving the fairness, timeliness, efficiency, and quality of their adjudicatory processes; how agencies build capacity to identify those data elements; future integration of artificial intelligence and machine learning in data collection and analysis processes; how and when agencies should make data they collect publicly available; and data retention and security issues.
Contacts:
Staff Counsel
