Data science can be applied to public policy in several ways: 1. It can provide evidence from large datasets to support evidence-based policymaking rather than intuition. 2. Predictive modeling using historical data can estimate the impacts of policies on outcomes like the economy or disease. 3. Performance evaluation using pre- and post-policy data can determine if policies are achieving their goals and identify areas for improvement.