A new study shows that mathematical models can shape human decisions more effectively than traditional psychological strategies. Researchers introduced “choice engineering,” a data-driven alternative to “choice architecture,” which relies on heuristics and intuition. In a global academic challenge, models like CATIE—designed to reflect real behavioral trends—outperformed both intuitive strategies and standard machine learning tools.
