Assess students' ability to analyze trade-offs among data privacy, public‑health effectiveness, and algorithmic bias in digital contact‑tracing apps by evaluating architectures (centralized vs decentralized), data minimization and retention, accuracy and epidemiological impact, sources of bias and equity implications, relevant legal/ethical frameworks, and proposing evidence‑based technical or policy mitigations with justification.