Synthetic Data in Research

Use synthetic data in research ethically. Learn fidelity-vs-privacy trade-offs, validity claims (and their limits), disclosure of synthetic-data use in methods, the bias-laundering trap (synthetic data inheriting and amplifying source bias), the auditability requirement, the difference between research-grade and production-grade synthetic data, and the canonical methodology critiques.