April 15, 2026
Pilot AI-assisted methods to augment predictive modeling, scenario exploration, and pattern detection within NSWERS analyses, with transparency, strong governance, and human review.
Generate and use synthetic datasets to develop, test, and communicate predictive and scenario models while protecting privacy and confidentiality.
Develop scenario-based analyses examining how different policy choices, demographic trends, or economic conditions could affect outcomes over time.
Develop and pilot predictive and simulation models that explore future system conditions under varying assumptions and policy scenarios.
Identify, test, and refine system-level early-warning indicators tied to enrollment, persistence, workforce demand, and equity considerations.
