Assess learners' ability to analyze trade-offs between privacy and public health in digital contact tracing by comparing technical architectures (centralized vs decentralized, proximity vs location), evaluating legal and ethical considerations (consent, data minimization, retention), measuring public health effectiveness (sensitivity, uptake, equity), identifying risks (re-identification, surveillance creep), and proposing policy and design mitigations using case studies (e.g., Singapore, EU, Google/Apple Exposure Notifications) to justify balanced recommendations.