Investigates the reliability of identifying AI-generated writing by comparing multiple detectors across diverse datasets, evaluating performance metrics and detection thresholds

Investigates how LLMs can enhance scientific experimentation: improving experimental design, creating consistent participant experiences, assisting data analysis, and proposing a governance framework for responsible use

Discusses the three main areas of AI Behavioral Science: how AI enhances behavioral research, how behavioral sciences can study and design AI, and how the world changes as AI and humans interact

Proposes a distributional framework treating risk preferences as a full probability distribution rather than a point estimate, using the flexible beta family to encompass the entire spectrum from risk aversion to risk-seeking

Philosophy

Economics

Examines pluralist egalitarianism under uncertainty through a new two-stage Ellsberg thought experiment that challenges the theory's core principle in health ethics scenarios