Jake M Hofman

Latest

• An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability
• Comparing traditional and LLM-based search for consumer choice: A randomized experiment
• Math Education with Large Language Models: Peril or Promise?
• Pre-registration for Predictive Modeling
• Investigating Perceptual Biases in Icon Arrays 🏆
• Putting scientific results in perspective: Improving the communication of standardized effect sizes
• Round numbers can sharpen cognition
• Datamations: Animated Explanations of Data Analysis Pipelines
• How Good is Good Enough? Quantifying the Impact of Benefits, Accuracy, and Privacy on Willingness to Adopt COVID-19 Decision Aids
• Integrating explanation and prediction in computational social science
• Manipulating and measuring model interpretability
• Success stories cause false beliefs about success
• Expanding the Scope of Reproducibility Research Through Data Analysis Replications
• Explanation, Prediction, and Causality: Three Sides of the Same Coin?
• How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results 🏆
• To put that in perspective: Generating analogies that make numbers easier to understand
• Prediction and explanation in social systems
• Exploring limits to prediction in complex social systems
• Estimating the causal impact of recommendation systems from observational data
• Graphical models for inferring single molecule dynamics
• Quantification of cell edge velocities and traction forces reveals distinct motility modules during cell spreading