Digital twins, synthetic data, and how to not fool yourself
Synthetic respondents are rapidly gaining traction and their appeal is undeniable. They promise speed, cost-effectiveness, and massive scalability, freeing researchers from the challenges of uncooperative participants, sensitive questions, and persistent privacy concerns. For organizations under pressure to deliver more, faster, and integrate AI, this buzz is impossible to ignore. There is a big “but” though. … Digital twins, synthetic data, and how to not fool yourself








