All Stories

  1. Using machine learning to create an adaptable, scalable, and interpretable behavioral model.
  2. Towards Choice Engineering
  3. Predicting the direction of human deviation from optimal choice
  4. AS-BEAST: Using machine learning to create an adaptable, scalable, and interpretable behavioral model
  5. mRAPID Study: Effect of Micro-incentives and Daily Deadlines on Practice Behavior
  6. Motivational drivers for serial position effects: Evidence from high-stakes legal decisions.
  7. Better results through more enforcement with milder punishments
  8. To predict human choice, consider the context
  9. To predict human choice, consider the context
  10. Enforcement policies: Frequency of inspection is more important than the severity of punishment
  11. Prediction oriented behavioral research and its relationship to classical decision research
  12. Underweighting of rare events in social interactions and its implications to the design of voluntary health applications
  13. Underweighting of rare events in social interactions and its implications to the design of voluntary health applications
  14. Complacency, panic, and the value of gentle rule enforcement in addressing pandemics
  15. On The Value of Alert Systems and Gentle Rule Enforcement in Addressing Pandemics
  16. The influence of biased exposure to forgone outcomes
  17. Perceived patterns in decisions from experience and their influence on choice variability and policy diversification: A response to Ashby, Konstantinidis, & Yechiam, 2017
  18. On the impact of experience on probability weighting in decisions under risk.
  19. From anomalies to forecasts: Toward a descriptive model of decisions under risk, under ambiguity, and from experience.
  20. Learning in settings with partial feedback and the wavy recency effect of rare events
  21. Reliance on small samples, the wavy recency effect, and similarity-based learning.