Daniel Benjamin is an Associate Professor of Decision Sciences in the Huizenga College of Business and Entrepreneurship. Dr. Benjamin’s background is in Psychometrics and Quantitative Psychology with expertise in decision theory and behavioral methodology. Dr. Benjamin researches how complexity influences judgment and decision-making, particularly how humans interact with model output and technology. He applies decision theory to solve problems in policy-relevant settings including geopolitical prediction, meta-research in social and biomedical sciences, perceptions of climate change, and expert judgment.
Statistical Interests:
Statistical Methods:
Linear Mixed Models
High-Dimensional Data & Data Reduction (Latent Variable Analysis)
Research Design
Rigor, Reproducibility, Transparency (RRT)
