Triage Score: A Counterfactual Risk Assessment Instrument (SIMONS-ECON)

LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence (SIMONS-ECON)

Non-parametric Causal Inference in Dynamic Thresholding Designs (SIMONS-ECON)

Agreement and Alignment for Human-AI Collaborative Decision Making (SIMONS-ECON)

Human Values in Clinical Algorithms, Old and New (SIMONS-ECON)

When Prediction Becomes Policy: What Do Risk Models Actually Learn? (SIMONS-ECON)

Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application (SIMONS-ECON)

Algorithmic UDAP (SIMONS-ECON)

Operational Dosage: The Impact of Capacity Constraints on RCT Evaluation (SIMONS-ECON)

The Role of Standardized Tests in Admissions: Predictions vs. Decisions (SIMONS-ECON)

Beyond Prediction Performance: How Modeling Decisions Shape Fairness Outcomes in Statistical Profiling (SIMONS-ECON)

The Feedback Loop of Statistical Discrimination (SIMONS-ECON)

Decision Theoretic Foundations for Human-AI Collaboration (SIMONS-ECON)

Evaluation Design (SIMONS-ECON)

Recommendation in Equilibrium for the NYC High School Match (SIMONS-ECON)

Automating the US Welfare State: Historical Experiments in Technological Federalism (SIMONS-ECON)

On Machine Learning for Prediction and Prioritization in the Allocation of Scarce Societal Resources (SIMONS-ECON)